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Lead Engineer

55192329 C32d 45ac B4cb 49d65ab192d0 19000101 000001 · Indianapolis, IN, US, Indianapolis, IN · On Site · Active · ADP Workforce Now Recruiting

Job facts

FieldValue
Company55192329 C32d 45ac B4cb 49d65ab192d0 19000101 000001
TitleLead Engineer
Normalized title-
Department / team-
LocationIndianapolis, IN, United States
Work modelOn Site
Employment type-
Salary-
Statusactive
ATS providerADP Workforce Now Recruiting
Posted / first seen2026-04-24 / 2026-05-31
Changed / last seen2026-06-06 / 2026-06-06

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Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in Indianapolis.Open
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Linked records

Company55192329 C32d 45ac B4cb 49d65ab192d0 19000101 000001
Sourcecbfd1169-9dc4-41d6-a8b6-d619a058c3be
ATS providerADP Workforce Now Recruiting

Description

Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time. Location : Indianapolis, IN (onsite 5 days a week) Role Summary This role is responsible for the architecture, development, and productionization of an enterprise-scale Generative AI platform designed to host, manage, and operationalize fine-tuned and open-source Large Language Models (LLMs) in highly regulated environments. The platform enables secure, performant, and compliant AI inference across internal enterprise applications, with an initial focus on pharmaceutical and life sciences use cases. The engineer will operate at the intersection of distributed systems engineering, applied machine learning infrastructure, AI security, and MLOps, translating experimental NLP and generative AI workflows into robust, observable, and governable production services. --- Core Responsibilities LLM Platform Architecture & Systems Engineering · Architect and implement a GPU-accelerated, cloud-native LLM serving platform using containerized microservices deployed on Kubernetes. · Design systems that support low-latency, high-throughput inference while maintaining fault tolerance, horizontal scalability, and isolation across dev, test, and production clusters. · Abstract infrastructure primitives to expose self-service model lifecycle APIs for data scientists and ML engineers. Model Hosting, Fine-Tuning & Lifecycle Management · Deploy and manage fine-tuned and parameter-efficient LLMs using techniques such as PEFT and LoRA. · Implement end-to-end model versioning, promotion, rollback, and deprecation workflows. · Support integration of multiple LLM backends (open-source and commercial) behind standardized inference interfaces. AI Safety, Security & Runtime Guardrails · Engineer real-time request/response inspection pipelines to analyze user prompts and model outputs for: o Prompt injection o Data exfiltration o Hallucination risk o Policy and compliance violations · Implement multi-layer security controls embedded at ingress, orchestration, and model-serving layers. · Ensure all model interactions are traceable, auditable, and reproducible. Advanced Prompting, RAG & Model Evaluation · Build and operationalize retrieval-augmented generation (RAG) pipelines integrating LLMs with enterprise document repositories and vector search backends. · Standardize prompt engineering frameworks, contextual grounding strategies, and evaluation methodologies. · Enable enterprise use cases including contextual Q&A, semantic search, summarization, redaction, and knowledge extraction. Distributed Orchestration & Workflow Management · Use workflow orchestration frameworks (e.g., Temporal.io) to manage long-running, stateful AI pipelines, including inference orchestration, evaluation, and post-processing. · Implement asynchronous, event-driven AI workflows using gRPC-based service communication. Infrastructure Automation & MLOps · Standardize infrastructure provisioning using Infrastructure-as-Code (IaC) principles to ensure deterministic, repeatable deployments. · Automate CI/CD pipelines for model artifacts, prompts, and platform services. · Enable dynamic resource allocation, GPU scheduling, and zero/low-downtime upgrades. Observability, Monitoring & Reliability Engineering · Design and implement observability pipelines collecting: o Model latency and throughput o Token usage and cost metrics o Security violations and guardrail triggers o Drift, degradation, and anomalous behavior · Establish Service Level Objectives (SLOs) and reliability targets for LLM inference services. · Enable proactive debugging, capacity planning, and performance optimization. Enterprise Governance & Access Control · Integrate the platform with internal policy enforcement systems, IAM, and role-based access controls (RBAC). · Ensure generative outputs comply with enterprise governance frameworks, regulatory requirements, and ethical guidelines. · Maintain detailed audit logs to support compliance and validation in regulated environments. Framework Reusability & Cross-Functional Enablement · Develop reusable platform components enabling collaboration across data science, DevOps, and product teams. · Provide standardized interfaces and SDKs for downstream applications to consume AI services. · Serve as a technical bridge between AI research experimentation and enterprise-grade production systems. --- Technical Requirements · Strong experience designing and operating distributed cloud-native systems. · Hands-on expertise deploying LLMs in production with performance, scalability, and security constraints. · Deep understanding of container orchestration (Kubernetes) and GPU-enabled workloads. · Experience implementing real-time inference services, API gateways. · Proven ability to design systems meeting compliance, auditability, and governance requirements. --- Preferred Experience · Experience in pharmaceutical, healthcare, or highly regulated enterprise environments. · Exposure to AI security, prompt-risk mitigation, and regulated AI deployment. · Experience translating NLP research and generative modeling techniques into production platforms. · Strong collaboration skills with data scientists, ML engineers, SREs, and product teams. --- Technology Stack · Languages: Python, Go · AI / ML: LLMs (AWS Bedrock, Azure OpenAI, Google Vertex ), Prompt Engineering, RAG, PEFT, LoRA · Platform & Infrastructure: Kubernetes, GPU acceleration, Infrastructure-as-Code · Distributed Systems: gRPC, Temporal.io, Argo, Flux · Storage: S3 / S3-compatible object storage · AI Tooling: OpenAI Agents SDK, Langgraph · Observability: Prometheus, Grafana · Libraries: Redis, Langchain, FastAPI Kaleidoscope, an Infosys Company, is an equal opportunity employer, and all qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, spouse of protected veteran, or disability.

Full job record

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Org ID37c37617-fd25-40e1-be81-b905fe09ac08
Source IDcbfd1169-9dc4-41d6-a8b6-d619a058c3be
Board IDcbfd1169-9dc4-41d6-a8b6-d619a058c3be
Provideradp_workforcenow
Provider Job Key956081
TitleLead Engineer
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CountryUnited States
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First Seen At2026-05-31 18:55:23Z
Last Seen At2026-06-06 12:48:39Z
Last Checked At2026-06-06 12:48:39Z
Last Changed At2026-06-06 12:48:39Z
Inactive At—
Source Posted At2026-04-24 19:41:00Z
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    "requisitionDescription": "<div><p style=\"text-align: center;\"><br></p><p style='color: rgb(0, 0, 0); font-family: \"Times New Roman\"; font-size: medium; font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: start; text-indent: 0px; text-transform: none; widows: 2; word-spacing: 0px; -webkit-text-stroke-width: 0px; white-space: normal; text-decoration-thickness: initial; text-decoration-style: initial; text-decoration-color: initial;'><span data-teams=\"true\" data-pasted=\"true\" style=\"font-family: arial, sans-serif;\">Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.</span></p><p style='color: rgb(0, 0, 0); font-family: \"Times New Roman\"; font-size: medium; font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: start; text-indent: 0px; text-transform: none; widows: 2; word-spacing: 0px; -webkit-text-stroke-width: 0px; white-space: normal; text-decoration-thickness: initial; text-decoration-style: initial; text-decoration-color: initial;'><span style=\"font-family: arial,sans-serif;\"><br></span></p><p style='color: rgb(0, 0, 0); font-family: \"Times New Roman\"; font-size: medium; font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: start; text-indent: 0px; text-transform: none; widows: 2; word-spacing: 0px; -webkit-text-stroke-width: 0px; white-space: normal; text-decoration-thickness: initial; text-decoration-style: initial; text-decoration-color: initial;'><span data-teams=\"true\" data-pasted=\"true\" style=\"font-family: arial, sans-serif;\"><strong>Location</strong>: Indianapolis, IN (onsite 5 days a week)</span></p><p style='color: rgb(0, 0, 0); font-family: \"Times New Roman\"; font-size: medium; font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: start; text-indent: 0px; text-transform: none; widows: 2; word-spacing: 0px; -webkit-text-stroke-width: 0px; white-space: normal; text-decoration-thickness: initial; text-decoration-style: initial; text-decoration-color: initial;'><br></p><p style='color: rgb(0, 0, 0); font-family: \"Times New Roman\"; font-size: medium; font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: start; text-indent: 0px; text-transform: none; widows: 2; word-spacing: 0px; -webkit-text-stroke-width: 0px; white-space: normal; text-decoration-thickness: initial; text-decoration-style: initial; text-decoration-color: initial;' data-pasted=\"true\"><strong><span style=\"font-family: arial, sans-serif; font-size: 16px;\">Role Summary</span></strong></p><p style='color: rgb(0, 0, 0); font-family: \"Times New Roman\"; font-size: medium; font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: start; text-indent: 0px; text-transform: none; widows: 2; word-spacing: 0px; -webkit-text-stroke-width: 0px; white-space: normal; text-decoration-thickness: initial; text-decoration-style: initial; text-decoration-color: initial;'><span style=\"font-family: arial, sans-serif; font-size: 16px;\">This role is responsible for the architecture, development, and productionization of an enterprise-scale Generative AI platform designed to host, manage, and operationalize fine-tuned and open-source Large Language Models (LLMs) in highly regulated environments. The platform enables secure, performant, and compliant AI inference across internal enterprise applications, with an initial focus on pharmaceutical and life sciences use cases.</span></p><p style='color: rgb(0, 0, 0); font-family: \"Times New Roman\"; font-size: medium; font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: start; text-indent: 0px; text-transform: none; widows: 2; word-spacing: 0px; -webkit-text-stroke-width: 0px; white-space: normal; text-decoration-thickness: initial; text-decoration-style: initial; text-decoration-color: initial;'><span style=\"font-family: arial, sans-serif; font-size: 16px;\">The engineer will operate at the intersection of distributed systems engineering, applied machine learning infrastructure, AI security, and MLOps, translating experimental NLP and generative AI workflows into robust, observable, and governable production services.</span></p><p style='color: rgb(0, 0, 0); font-family: \"Times New Roman\"; font-size: medium; font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: start; text-indent: 0px; text-transform: none; widows: 2; word-spacing: 0px; -webkit-text-stroke-width: 0px; white-space: normal; text-decoration-thickness: initial; text-decoration-style: initial; text-decoration-color: initial;'><span style=\"font-family: arial, sans-serif; font-size: 16px;\">---</span></p><p style='color: rgb(0, 0, 0); font-family: \"Times New Roman\"; font-size: medium; font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: start; text-indent: 0px; text-transform: none; widows: 2; word-spacing: 0px; -webkit-text-stroke-width: 0px; white-space: normal; text-decoration-thickness: initial; text-decoration-style: initial; text-decoration-color: initial;'><span style=\"font-family: arial, sans-serif; font-size: 16px;\"><strong>Core Responsibilities</strong></span></p><p style='color: rgb(0, 0, 0); font-family: \"Times New Roman\"; font-size: medium; font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: start; text-indent: 0px; text-transform: none; widows: 2; word-spacing: 0px; -webkit-text-stroke-width: 0px; white-space: normal; text-decoration-thickness: initial; text-decoration-style: initial; text-decoration-color: initial;'><span style=\"font-family: arial, sans-serif; font-size: 16px;\"><strong>LLM Platform Architecture &amp; Systems Engineering</strong></span></p><p style='color: rgb(0, 0, 0); font-family: \"Times New Roman\"; font-size: medium; font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: start; text-indent: 0px; text-transform: none; widows: 2; word-spacing: 0px; -webkit-text-stroke-width: 0px; white-space: normal; text-decoration-thickness: initial; text-decoration-style: initial; text-decoration-color: initial;'><span style=\"font-family: arial, sans-serif; font-size: 16px;\">&middot; Architect and implement a GPU-accelerated, cloud-native LLM serving platform using containerized microservices deployed on Kubernetes.</span></p><p style='color: rgb(0, 0, 0); font-family: \"Times New Roman\"; font-size: medium; font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: start; text-indent: 0px; text-transform: none; widows: 2; word-spacing: 0px; -webkit-text-stroke-width: 0px; white-space: normal; text-decoration-thickness: initial; text-decoration-style: initial; text-decoration-color: initial;'><span style=\"font-family: arial, sans-serif; font-size: 16px;\">&middot; Design systems that support low-latency, high-throughput inference while maintaining fault tolerance, horizontal scalability, and isolation across dev, test, and production clusters.</span></p><p style='color: rgb(0, 0, 0); font-family: \"Times New Roman\"; font-size: medium; font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: start; text-indent: 0px; text-transform: none; widows: 2; word-spacing: 0px; -webkit-text-stroke-width: 0px; white-space: normal; text-decoration-thickness: initial; text-decoration-style: initial; text-decoration-color: initial;'><span style=\"font-family: arial, sans-serif; font-size: 16px;\">&middot; Abstract infrastructure primitives to expose self-service model lifecycle APIs for data scientists and ML engineers.</span></p><p style='color: rgb(0, 0, 0); font-family: \"Times New Roman\"; font-size: medium; font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: start; text-indent: 0px; text-transform: none; widows: 2; word-spacing: 0px; -webkit-text-stroke-width: 0px; white-space: normal; text-decoration-thickness: initial; text-decoration-style: initial; text-decoration-color: initial;'><span style=\"font-family: arial, sans-serif; font-size: 16px;\"><strong>Model Hosting, Fine-Tuning &amp; Lifecycle Management</strong></span></p><p style='color: rgb(0, 0, 0); font-family: \"Times New Roman\"; font-size: medium; font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: start; text-indent: 0px; text-transform: none; widows: 2; word-spacing: 0px; -webkit-text-stroke-width: 0px; white-space: normal; text-decoration-thickness: initial; text-decoration-style: initial; text-decoration-color: initial;'><span style=\"font-family: arial, sans-serif; font-size: 16px;\">&middot; Deploy and manage fine-tuned and parameter-efficient LLMs using techniques such as PEFT and LoRA.</span></p><p style='color: rgb(0, 0, 0); font-family: \"Times New Roman\"; font-size: medium; font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: start; text-indent: 0px; text-transform: none; widows: 2; word-spacing: 0px; -webkit-text-stroke-width: 0px; white-space: normal; text-decoration-thickness: initial; text-decoration-style: initial; text-decoration-color: initial;'><span style=\"font-family: arial, sans-serif; font-size: 16px;\">&middot; Implement end-to-end model versioning, promotion, rollback, and deprecation workflows.</span></p><p style='color: rgb(0, 0, 0); font-family: \"Times New Roman\"; font-size: medium; font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: start; text-indent: 0px; text-transform: none; widows: 2; word-spacing: 0px; -webkit-text-stroke-width: 0px; white-space: normal; text-decoration-thickness: initial; text-decoration-style: initial; text-decoration-color: initial;'><span style=\"font-family: arial, sans-serif; font-size: 16px;\">&middot; Support integration of multiple LLM backends (open-source and commercial) behind standardized inference interfaces.</span></p><p style='color: rgb(0, 0, 0); font-family: \"Times New Roman\"; font-size: medium; font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: start; text-indent: 0px; text-transform: none; widows: 2; word-spacing: 0px; -webkit-text-stroke-width: 0px; white-space: normal; text-decoration-thickness: initial; text-decoration-style: initial; text-decoration-color: initial;'><span style=\"font-family: arial, sans-serif; font-size: 16px;\"><strong>AI Safety, Security &amp; Runtime Guardrails</strong></span></p><p style='color: rgb(0, 0, 0); font-family: \"Times New Roman\"; font-size: medium; font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: start; text-indent: 0px; text-transform: none; widows: 2; word-spacing: 0px; -webkit-text-stroke-width: 0px; white-space: normal; text-decoration-thickness: initial; text-decoration-style: initial; text-decoration-color: initial;'><span style=\"font-family: arial, sans-serif; font-size: 16px;\">&middot; Engineer real-time request/response inspection pipelines to analyze user prompts and model outputs for:</span></p><p style='color: rgb(0, 0, 0); font-family: \"Times New Roman\"; font-size: medium; font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: start; text-indent: 0px; text-transform: none; widows: 2; word-spacing: 0px; -webkit-text-stroke-width: 0px; white-space: normal; text-decoration-thickness: initial; text-decoration-style: initial; text-decoration-color: initial;'><span style=\"font-family: arial, sans-serif; font-size: 16px;\">o Prompt injection</span></p><p style='color: rgb(0, 0, 0); font-family: \"Times New Roman\"; font-size: medium; font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: start; text-indent: 0px; text-transform: none; widows: 2; word-spacing: 0px; -webkit-text-stroke-width: 0px; white-space: normal; text-decoration-thickness: initial; text-decoration-style: initial; text-decoration-color: initial;'><span style=\"font-family: arial, sans-serif; font-size: 16px;\">o Data exfiltration</span></p><p style='color: rgb(0, 0, 0); font-family: \"Times New Roman\"; font-size: medium; font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: start; text-indent: 0px; text-transform: none; widows: 2; word-spacing: 0px; -webkit-text-stroke-width: 0px; white-space: normal; text-decoration-thickness: initial; text-decoration-style: initial; text-decoration-color: initial;'><span style=\"font-family: arial, sans-serif; font-size: 16px;\">o Hallucination risk</span></p><p style='color: rgb(0, 0, 0); font-family: \"Times New Roman\"; font-size: medium; font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: start; text-indent: 0px; text-transform: none; widows: 2; word-spacing: 0px; -webkit-text-stroke-width: 0px; white-space: normal; text-decoration-thickness: initial; text-decoration-style: initial; text-decoration-color: initial;'><span style=\"font-family: arial, sans-serif; font-size: 16px;\">o Policy and compliance violations</span></p><p style='color: rgb(0, 0, 0); font-family: \"Times New Roman\"; font-size: medium; font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: start; text-indent: 0px; text-transform: none; widows: 2; word-spacing: 0px; -webkit-text-stroke-width: 0px; white-space: normal; text-decoration-thickness: initial; text-decoration-style: initial; text-decoration-color: initial;'><span style=\"font-family: arial, sans-serif; font-size: 16px;\">&middot; Implement multi-layer security controls embedded at ingress, orchestration, and model-serving layers.</span></p><p style='color: rgb(0, 0, 0); font-family: \"Times New Roman\"; font-size: medium; font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: start; text-indent: 0px; text-transform: none; widows: 2; word-spacing: 0px; -webkit-text-stroke-width: 0px; white-space: normal; text-decoration-thickness: initial; text-decoration-style: initial; text-decoration-color: initial;'><span style=\"font-family: arial, sans-serif; font-size: 16px;\">&middot; Ensure all model interactions are traceable, auditable, and reproducible.</span></p><p style='color: rgb(0, 0, 0); font-family: \"Times New Roman\"; font-size: medium; font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: start; text-indent: 0px; text-transform: none; widows: 2; word-spacing: 0px; -webkit-text-stroke-width: 0px; white-space: normal; text-decoration-thickness: initial; text-decoration-style: initial; text-decoration-color: initial;'><span style=\"font-family: arial, sans-serif; font-size: 16px;\"><strong>Advanced Prompting, RAG &amp; Model Evaluation</strong></span></p><p style='color: rgb(0, 0, 0); font-family: \"Times New Roman\"; font-size: medium; font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: start; text-indent: 0px; text-transform: none; widows: 2; word-spacing: 0px; -webkit-text-stroke-width: 0px; white-space: normal; text-decoration-thickness: initial; text-decoration-style: initial; text-decoration-color: initial;'><span style=\"font-family: arial, sans-serif; font-size: 16px;\">&middot; Build and operationalize retrieval-augmented generation (RAG) pipelines integrating LLMs with enterprise document repositories and vector search backends.</span></p><p style='color: rgb(0, 0, 0); font-family: \"Times New Roman\"; font-size: medium; font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: start; text-indent: 0px; text-transform: none; widows: 2; word-spacing: 0px; -webkit-text-stroke-width: 0px; white-space: normal; text-decoration-thickness: initial; text-decoration-style: initial; text-decoration-color: initial;'><span style=\"font-family: arial, sans-serif; font-size: 16px;\">&middot; Standardize prompt engineering frameworks, contextual grounding strategies, and evaluation methodologies.</span></p><p style='color: rgb(0, 0, 0); font-family: \"Times New Roman\"; font-size: medium; font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: start; text-indent: 0px; text-transform: none; widows: 2; word-spacing: 0px; -webkit-text-stroke-width: 0px; white-space: normal; text-decoration-thickness: initial; text-decoration-style: initial; text-decoration-color: initial;'><span style=\"font-family: arial, sans-serif; font-size: 16px;\">&middot; Enable enterprise use cases including contextual Q&amp;A, semantic search, summarization, redaction, and knowledge extraction.</span></p><p style='color: rgb(0, 0, 0); font-family: \"Times New Roman\"; font-size: medium; font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: start; text-indent: 0px; text-transform: none; widows: 2; word-spacing: 0px; -webkit-text-stroke-width: 0px; white-space: normal; text-decoration-thickness: initial; text-decoration-style: initial; text-decoration-color: initial;'><span style=\"font-family: arial, sans-serif; font-size: 16px;\"><strong>Distributed Orchestration &amp; Workflow Management</strong></span></p><p style='color: rgb(0, 0, 0); font-family: \"Times New Roman\"; font-size: medium; font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: start; text-indent: 0px; text-transform: none; widows: 2; word-spacing: 0px; -webkit-text-stroke-width: 0px; white-space: normal; text-decoration-thickness: initial; text-decoration-style: initial; text-decoration-color: initial;'><span style=\"font-family: arial, sans-serif; font-size: 16px;\">&middot; Use workflow orchestration frameworks (e.g., Temporal.io) to manage long-running, stateful AI pipelines, including inference orchestration, evaluation, and post-processing.</span></p><p style='color: rgb(0, 0, 0); font-family: \"Times New Roman\"; font-size: medium; font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: start; text-indent: 0px; text-transform: none; widows: 2; word-spacing: 0px; -webkit-text-stroke-width: 0px; white-space: normal; text-decoration-thickness: initial; text-decoration-style: initial; text-decoration-color: initial;'><span style=\"font-family: arial, sans-serif; font-size: 16px;\">&middot; Implement asynchronous, event-driven AI workflows using gRPC-based service communication.</span></p><p style='color: rgb(0, 0, 0); font-family: \"Times New Roman\"; font-size: medium; font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: start; text-indent: 0px; text-transform: none; widows: 2; word-spacing: 0px; -webkit-text-stroke-width: 0px; white-space: normal; text-decoration-thickness: initial; text-decoration-style: initial; text-decoration-color: initial;'><span style=\"font-family: arial, sans-serif; font-size: 16px;\"><strong>Infrastructure Automation &amp; MLOps</strong></span></p><p style='color: rgb(0, 0, 0); font-family: \"Times New Roman\"; font-size: medium; font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: start; text-indent: 0px; text-transform: none; widows: 2; word-spacing: 0px; -webkit-text-stroke-width: 0px; white-space: normal; text-decoration-thickness: initial; text-decoration-style: initial; text-decoration-color: initial;'><span style=\"font-family: arial, sans-serif; font-size: 16px;\">&middot; Standardize infrastructure provisioning using Infrastructure-as-Code (IaC) principles to ensure deterministic, repeatable deployments.</span></p><p style='color: rgb(0, 0, 0); font-family: \"Times New Roman\"; font-size: medium; font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: start; text-indent: 0px; text-transform: none; widows: 2; word-spacing: 0px; -webkit-text-stroke-width: 0px; white-space: normal; text-decoration-thickness: initial; text-decoration-style: initial; text-decoration-color: initial;'><span style=\"font-family: arial, sans-serif; font-size: 16px;\">&middot; Automate CI/CD pipelines for model artifacts, prompts, and platform services.</span></p><p style='color: rgb(0, 0, 0); font-family: \"Times New Roman\"; font-size: medium; font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: start; text-indent: 0px; text-transform: none; widows: 2; word-spacing: 0px; -webkit-text-stroke-width: 0px; white-space: normal; text-decoration-thickness: initial; text-decoration-style: initial; text-decoration-color: initial;'><span style=\"font-family: arial, sans-serif; font-size: 16px;\">&middot; Enable dynamic resource allocation, GPU scheduling, and zero/low-downtime upgrades.</span></p><p style='color: rgb(0, 0, 0); font-family: \"Times New Roman\"; font-size: medium; font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: start; text-indent: 0px; text-transform: none; widows: 2; word-spacing: 0px; -webkit-text-stroke-width: 0px; white-space: normal; text-decoration-thickness: initial; text-decoration-style: initial; text-decoration-color: initial;'><span style=\"font-family: arial, sans-serif; font-size: 16px;\"><strong>Observability, Monitoring &amp; Reliability Engineering</strong></span></p><p style='color: rgb(0, 0, 0); font-family: \"Times New Roman\"; font-size: medium; font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: start; text-indent: 0px; text-transform: none; widows: 2; word-spacing: 0px; -webkit-text-stroke-width: 0px; white-space: normal; text-decoration-thickness: initial; text-decoration-style: initial; text-decoration-color: initial;'><span style=\"font-family: arial, sans-serif; font-size: 16px;\">&middot; Design and implement observability pipelines collecting:</span></p><p style='color: rgb(0, 0, 0); font-family: \"Times New Roman\"; font-size: medium; font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: start; text-indent: 0px; text-transform: none; widows: 2; word-spacing: 0px; -webkit-text-stroke-width: 0px; white-space: normal; text-decoration-thickness: initial; text-decoration-style: initial; text-decoration-color: initial;'><span style=\"font-family: arial, sans-serif; font-size: 16px;\">o Model latency and throughput</span></p><p style='color: rgb(0, 0, 0); font-family: \"Times New Roman\"; font-size: medium; font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: start; text-indent: 0px; text-transform: none; widows: 2; word-spacing: 0px; -webkit-text-stroke-width: 0px; white-space: normal; text-decoration-thickness: initial; text-decoration-style: initial; text-decoration-color: initial;'><span style=\"font-family: arial, sans-serif; font-size: 16px;\">o Token usage and cost metrics</span></p><p style='color: rgb(0, 0, 0); font-family: \"Times New Roman\"; font-size: medium; font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: start; text-indent: 0px; text-transform: none; widows: 2; word-spacing: 0px; -webkit-text-stroke-width: 0px; white-space: normal; text-decoration-thickness: initial; text-decoration-style: initial; text-decoration-color: initial;'><span style=\"font-family: arial, sans-serif; font-size: 16px;\">o Security violations and guardrail triggers</span></p><p style='color: rgb(0, 0, 0); font-family: \"Times New Roman\"; font-size: medium; font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: start; text-indent: 0px; text-transform: none; widows: 2; word-spacing: 0px; -webkit-text-stroke-width: 0px; white-space: normal; text-decoration-thickness: initial; text-decoration-style: initial; text-decoration-color: initial;'><span style=\"font-family: arial, sans-serif; font-size: 16px;\">o Drift, degradation, and anomalous behavior</span></p><p style='color: rgb(0, 0, 0); font-family: \"Times New Roman\"; font-size: medium; font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: start; text-indent: 0px; text-transform: none; widows: 2; word-spacing: 0px; -webkit-text-stroke-width: 0px; white-space: normal; text-decoration-thickness: initial; text-decoration-style: initial; text-decoration-color: initial;'><span style=\"font-family: arial, sans-serif; font-size: 16px;\">&middot; Establish Service Level Objectives (SLOs) and reliability targets for LLM inference services.</span></p><p style='color: rgb(0, 0, 0); font-family: \"Times New Roman\"; font-size: medium; font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: start; text-indent: 0px; text-transform: none; widows: 2; word-spacing: 0px; -webkit-text-stroke-width: 0px; white-space: normal; text-decoration-thickness: initial; text-decoration-style: initial; text-decoration-color: initial;'><span style=\"font-family: arial, sans-serif; font-size: 16px;\">&middot; Enable proactive debugging, capacity planning, and performance optimization.</span></p><p style='color: rgb(0, 0, 0); font-family: \"Times New Roman\"; font-size: medium; font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: start; text-indent: 0px; text-transform: none; widows: 2; word-spacing: 0px; -webkit-text-stroke-width: 0px; white-space: normal; text-decoration-thickness: initial; text-decoration-style: initial; text-decoration-color: initial;'><span style=\"font-family: arial, sans-serif; font-size: 16px;\"><strong>Enterprise Governance &amp; Access Control</strong></span></p><p style='color: rgb(0, 0, 0); font-family: \"Times New Roman\"; font-size: medium; font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: start; text-indent: 0px; text-transform: none; widows: 2; word-spacing: 0px; -webkit-text-stroke-width: 0px; white-space: normal; text-decoration-thickness: initial; text-decoration-style: initial; text-decoration-color: initial;'><span style=\"font-family: arial, sans-serif; font-size: 16px;\">&middot; Integrate the platform with internal policy enforcement systems, IAM, and role-based access controls (RBAC).</span></p><p style='color: rgb(0, 0, 0); font-family: \"Times New Roman\"; font-size: medium; font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: start; text-indent: 0px; text-transform: none; widows: 2; word-spacing: 0px; -webkit-text-stroke-width: 0px; white-space: normal; text-decoration-thickness: initial; text-decoration-style: initial; text-decoration-color: initial;'><span style=\"font-family: arial, sans-serif; font-size: 16px;\">&middot; Ensure generative outputs comply with enterprise governance frameworks, regulatory requirements, and ethical guidelines.</span></p><p style='color: rgb(0, 0, 0); font-family: \"Times New Roman\"; font-size: medium; font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: start; text-indent: 0px; text-transform: none; widows: 2; word-spacing: 0px; -webkit-text-stroke-width: 0px; white-space: normal; text-decoration-thickness: initial; text-decoration-style: initial; text-decoration-color: initial;'><span style=\"font-family: arial, sans-serif; font-size: 16px;\">&middot; Maintain detailed audit logs to support compliance and validation in regulated environments.</span></p><p style='color: rgb(0, 0, 0); font-family: \"Times New Roman\"; font-size: medium; font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: start; text-indent: 0px; text-transform: none; widows: 2; word-spacing: 0px; -webkit-text-stroke-width: 0px; white-space: normal; text-decoration-thickness: initial; text-decoration-style: initial; text-decoration-color: initial;'><span style=\"font-family: arial, sans-serif; font-size: 16px;\"><strong>Framework Reusability &amp; Cross-Functional Enablement</strong></span></p><p style='color: rgb(0, 0, 0); font-family: \"Times New Roman\"; font-size: medium; font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: start; text-indent: 0px; text-transform: none; widows: 2; word-spacing: 0px; -webkit-text-stroke-width: 0px; white-space: normal; text-decoration-thickness: initial; text-decoration-style: initial; text-decoration-color: initial;'><span style=\"font-family: arial, sans-serif; font-size: 16px;\">&middot; Develop reusable platform components enabling collaboration across data science, DevOps, and product teams.</span></p><p style='color: rgb(0, 0, 0); font-family: \"Times New Roman\"; font-size: medium; font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: start; text-indent: 0px; text-transform: none; widows: 2; word-spacing: 0px; -webkit-text-stroke-width: 0px; white-space: normal; text-decoration-thickness: initial; text-decoration-style: initial; text-decoration-color: initial;'><span style=\"font-family: arial, sans-serif; font-size: 16px;\">&middot; Provide standardized interfaces and SDKs for downstream applications to consume AI services.</span></p><p style='color: rgb(0, 0, 0); font-family: \"Times New Roman\"; font-size: medium; font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: start; text-indent: 0px; text-transform: none; widows: 2; word-spacing: 0px; -webkit-text-stroke-width: 0px; white-space: normal; text-decoration-thickness: initial; text-decoration-style: initial; text-decoration-color: initial;'><span style=\"font-family: arial, sans-serif; font-size: 16px;\">&middot; Serve as a technical bridge between AI research experimentation and enterprise-grade production systems.</span></p><p style='color: rgb(0, 0, 0); font-family: \"Times New Roman\"; font-size: medium; font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: start; text-indent: 0px; text-transform: none; widows: 2; word-spacing: 0px; -webkit-text-stroke-width: 0px; white-space: normal; text-decoration-thickness: initial; text-decoration-style: initial; text-decoration-color: initial;'><span style=\"font-family: arial, sans-serif; font-size: 16px;\">---</span></p><p style='color: rgb(0, 0, 0); font-family: \"Times New Roman\"; font-size: medium; font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: start; text-indent: 0px; text-transform: none; widows: 2; word-spacing: 0px; -webkit-text-stroke-width: 0px; white-space: normal; text-decoration-thickness: initial; text-decoration-style: initial; text-decoration-color: initial;'><span style=\"font-family: arial, sans-serif; font-size: 16px;\"><strong>Technical Requirements</strong></span></p><p style='color: rgb(0, 0, 0); font-family: \"Times New Roman\"; font-size: medium; font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: start; text-indent: 0px; text-transform: none; widows: 2; word-spacing: 0px; -webkit-text-stroke-width: 0px; white-space: normal; text-decoration-thickness: initial; text-decoration-style: initial; text-decoration-color: initial;'><span style=\"font-family: arial, sans-serif; font-size: 16px;\">&middot; Strong experience designing and operating distributed cloud-native systems.</span></p><p style='color: rgb(0, 0, 0); font-family: \"Times New Roman\"; font-size: medium; font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: start; text-indent: 0px; text-transform: none; widows: 2; word-spacing: 0px; -webkit-text-stroke-width: 0px; white-space: normal; text-decoration-thickness: initial; text-decoration-style: initial; text-decoration-color: initial;'><span style=\"font-family: arial, sans-serif; font-size: 16px;\">&middot; Hands-on expertise deploying LLMs in production with performance, scalability, and security constraints.</span></p><p style='color: rgb(0, 0, 0); font-family: \"Times New Roman\"; font-size: medium; font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: start; text-indent: 0px; text-transform: none; widows: 2; word-spacing: 0px; -webkit-text-stroke-width: 0px; white-space: normal; text-decoration-thickness: initial; text-decoration-style: initial; text-decoration-color: initial;'><span style=\"font-family: arial, sans-serif; font-size: 16px;\">&middot; Deep understanding of container orchestration (Kubernetes) and GPU-enabled workloads.</span></p><p style='color: rgb(0, 0, 0); font-family: \"Times New Roman\"; font-size: medium; font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: start; text-indent: 0px; text-transform: none; widows: 2; word-spacing: 0px; -webkit-text-stroke-width: 0px; white-space: normal; text-decoration-thickness: initial; text-decoration-style: initial; text-decoration-color: initial;'><span style=\"font-family: arial, sans-serif; font-size: 16px;\">&middot; Experience implementing real-time inference services, API gateways.</span></p><p style='color: rgb(0, 0, 0); font-family: \"Times New Roman\"; font-size: medium; font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: start; text-indent: 0px; text-transform: none; widows: 2; word-spacing: 0px; -webkit-text-stroke-width: 0px; white-space: normal; text-decoration-thickness: initial; text-decoration-style: initial; text-decoration-color: initial;'><span style=\"font-family: arial, sans-serif; font-size: 16px;\">&middot; Proven ability to design systems meeting compliance, auditability, and governance requirements.</span></p><p style='color: rgb(0, 0, 0); font-family: \"Times New Roman\"; font-size: medium; font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: start; text-indent: 0px; text-transform: none; widows: 2; word-spacing: 0px; -webkit-text-stroke-width: 0px; white-space: normal; text-decoration-thickness: initial; text-decoration-style: initial; text-decoration-color: initial;'><span style=\"font-family: arial, sans-serif; font-size: 16px;\">---</span></p><p style='color: rgb(0, 0, 0); font-family: \"Times New Roman\"; font-size: medium; font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: start; text-indent: 0px; text-transform: none; widows: 2; word-spacing: 0px; -webkit-text-stroke-width: 0px; white-space: normal; text-decoration-thickness: initial; text-decoration-style: initial; text-decoration-color: initial;'><span style=\"font-family: arial, sans-serif; font-size: 16px;\"><strong>Preferred Experience</strong></span></p><p style='color: rgb(0, 0, 0); font-family: \"Times New Roman\"; font-size: medium; font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: start; text-indent: 0px; text-transform: none; widows: 2; word-spacing: 0px; -webkit-text-stroke-width: 0px; white-space: normal; text-decoration-thickness: initial; text-decoration-style: initial; text-decoration-color: initial;'><span style=\"font-family: arial, sans-serif; font-size: 16px;\">&middot; Experience in pharmaceutical, healthcare, or highly regulated enterprise environments.</span></p><p style='color: rgb(0, 0, 0); font-family: \"Times New Roman\"; font-size: medium; font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: start; text-indent: 0px; text-transform: none; widows: 2; word-spacing: 0px; -webkit-text-stroke-width: 0px; white-space: normal; text-decoration-thickness: initial; text-decoration-style: initial; text-decoration-color: initial;'><span style=\"font-family: arial, sans-serif; font-size: 16px;\">&middot; Exposure to AI security, prompt-risk mitigation, and regulated AI deployment.</span></p><p style='color: rgb(0, 0, 0); font-family: \"Times New Roman\"; font-size: medium; font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: start; text-indent: 0px; text-transform: none; widows: 2; word-spacing: 0px; -webkit-text-stroke-width: 0px; white-space: normal; text-decoration-thickness: initial; text-decoration-style: initial; text-decoration-color: initial;'><span style=\"font-family: arial, sans-serif; font-size: 16px;\">&middot; Experience translating NLP research and generative modeling techniques into production platforms.</span></p><p style='color: rgb(0, 0, 0); font-family: \"Times New Roman\"; font-size: medium; font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: start; text-indent: 0px; text-transform: none; widows: 2; word-spacing: 0px; -webkit-text-stroke-width: 0px; white-space: normal; text-decoration-thickness: initial; text-decoration-style: initial; text-decoration-color: initial;'><span style=\"font-family: arial, sans-serif; font-size: 16px;\">&middot; Strong collaboration skills with data scientists, ML engineers, SREs, and product teams.</span></p><p style='color: rgb(0, 0, 0); font-family: \"Times New Roman\"; font-size: medium; font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: start; text-indent: 0px; text-transform: none; widows: 2; word-spacing: 0px; -webkit-text-stroke-width: 0px; white-space: normal; text-decoration-thickness: initial; text-decoration-style: initial; text-decoration-color: initial;'><span style=\"font-family: arial, sans-serif; font-size: 16px;\">---</span></p><p style='color: rgb(0, 0, 0); font-family: \"Times New Roman\"; font-size: medium; font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: start; text-indent: 0px; text-transform: none; widows: 2; word-spacing: 0px; -webkit-text-stroke-width: 0px; white-space: normal; text-decoration-thickness: initial; text-decoration-style: initial; text-decoration-color: initial;'><span style=\"font-family: arial, sans-serif; font-size: 16px;\"><strong>Technology Stack</strong></span></p><p style='color: rgb(0, 0, 0); font-family: \"Times New Roman\"; font-size: medium; font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: start; text-indent: 0px; text-transform: none; widows: 2; word-spacing: 0px; -webkit-text-stroke-width: 0px; white-space: normal; text-decoration-thickness: initial; text-decoration-style: initial; text-decoration-color: initial;'><span style=\"font-family: arial, sans-serif; font-size: 16px;\">&middot; Languages: Python, Go</span></p><p style='color: rgb(0, 0, 0); font-family: \"Times New Roman\"; font-size: medium; font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: start; text-indent: 0px; text-transform: none; widows: 2; word-spacing: 0px; -webkit-text-stroke-width: 0px; white-space: normal; text-decoration-thickness: initial; text-decoration-style: initial; text-decoration-color: initial;'><span style=\"font-family: arial, sans-serif; font-size: 16px;\">&middot; AI / ML: LLMs (AWS Bedrock, Azure OpenAI, Google Vertex ), Prompt Engineering, RAG, PEFT, LoRA</span></p><p style='color: rgb(0, 0, 0); font-family: \"Times New Roman\"; font-size: medium; font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: start; text-indent: 0px; text-transform: none; widows: 2; word-spacing: 0px; -webkit-text-stroke-width: 0px; white-space: normal; text-decoration-thickness: initial; text-decoration-style: initial; text-decoration-color: initial;'><span style=\"font-family: arial, sans-serif; font-size: 16px;\">&middot; Platform &amp; Infrastructure: Kubernetes, GPU acceleration, Infrastructure-as-Code</span></p><p style='color: rgb(0, 0, 0); font-family: \"Times New Roman\"; font-size: medium; font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: start; text-indent: 0px; text-transform: none; widows: 2; word-spacing: 0px; -webkit-text-stroke-width: 0px; white-space: normal; text-decoration-thickness: initial; text-decoration-style: initial; text-decoration-color: initial;'><span style=\"font-family: arial, sans-serif; font-size: 16px;\">&middot; Distributed Systems: gRPC, Temporal.io, Argo, Flux</span></p><p style='color: rgb(0, 0, 0); font-family: \"Times New Roman\"; font-size: medium; font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: start; text-indent: 0px; text-transform: none; widows: 2; word-spacing: 0px; -webkit-text-stroke-width: 0px; white-space: normal; text-decoration-thickness: initial; text-decoration-style: initial; text-decoration-color: initial;'><span style=\"font-family: arial, sans-serif; font-size: 16px;\">&middot; Storage: S3 / S3-compatible object storage</span></p><p style='color: rgb(0, 0, 0); font-family: \"Times New Roman\"; font-size: medium; font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: start; text-indent: 0px; text-transform: none; widows: 2; word-spacing: 0px; -webkit-text-stroke-width: 0px; white-space: normal; text-decoration-thickness: initial; text-decoration-style: initial; text-decoration-color: initial;'><span style=\"font-family: arial, sans-serif; font-size: 16px;\">&middot; AI Tooling: OpenAI Agents SDK, Langgraph</span></p><p style='color: rgb(0, 0, 0); font-family: \"Times New Roman\"; font-size: medium; font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: start; text-indent: 0px; text-transform: none; widows: 2; word-spacing: 0px; -webkit-text-stroke-width: 0px; white-space: normal; text-decoration-thickness: initial; text-decoration-style: initial; text-decoration-color: initial;'><span style=\"font-family: arial, sans-serif; font-size: 16px;\">&middot; Observability: Prometheus, Grafana</span></p><p style='color: rgb(0, 0, 0); font-family: \"Times New Roman\"; font-size: medium; font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: start; text-indent: 0px; text-transform: none; widows: 2; word-spacing: 0px; -webkit-text-stroke-width: 0px; white-space: normal; text-decoration-thickness: initial; text-decoration-style: initial; text-decoration-color: initial;'><span style=\"font-family: arial, sans-serif; font-size: 16px;\">&middot; Libraries: Redis, Langchain, FastAPI</span></p><p><br></p><p><span data-teams=\"true\" id=\"isPasted\"><strong>Kaleidoscope, an Infosys Company, is an equal opportunity employer, and all qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, spouse of protected veteran, or disability.</strong></span></p></div>\n",
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Get this page with API

Rendered from the bluedoor Job Postings API. Reproduce it:

GET https://api.bluedoor.sh/job-postings/v1/jobs/fc524aa042ae482f9c056392d1503e4ff59db263?include=descriptionJSON
GET https://api.bluedoor.sh/job-postings/v1/orgs/37c37617-fd25-40e1-be81-b905fe09ac08JSON
GET https://api.bluedoor.sh/job-postings/v1/sources/cbfd1169-9dc4-41d6-a8b6-d619a058c3beJSON
GET https://api.bluedoor.sh/job-postings/v1/jobs/fc524aa042ae482f9c056392d1503e4ff59db263/eventsJSON

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