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Lead/Senior AI Developer (Agentic Healthcare Application)
C The Signs · United States (Remote) · Remote · Active · Workable
Job facts
| Field | Value |
|---|---|
| Company | C The Signs |
| Title | Lead/Senior AI Developer (Agentic Healthcare Application) |
| Normalized title | - |
| Department / team | Technology |
| Location | United States |
| Work model | Remote / Remote |
| Employment type | Full Time |
| Salary | - |
| Status | active |
| ATS provider | Workable |
| Posted / first seen | 2026-02-05 / 2026-05-31 |
| Changed / last seen | 2026-05-31 / 2026-06-06 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from C The Signs. | Open |
| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through Workable. | Open |
| Provider filtered search | The same provider as a filtered job collection. | Open |
| Department jobs | Active postings in Technology. | Open |
| Work model jobs | Active Remote postings. | Open |
| Lifecycle events | Open, update, close, and reopen events for this posting. | Open |
| Original posting | Canonical source or apply URL captured from the ATS. | Open |
Linked records
| Company | C The Signs |
| Source | c0cdce61-3e3d-481f-ac34-799da9c624b4 |
| ATS provider | Workable |
Description
Description
Role Overview
We are looking for a forward thinking Senior AI Developer to architect and build the next generation of Agentic AI applications in the healthcare industry. You will move beyond standard prompt engineering to design Agentic Workflows—systems where LLMs function as reasoning engines that can plan multi step tasks, utilize external tools (APIs, databases), and collaborate with other specialized agents to achieve high level goals.
You will contribute to the technical implementation of "Agency" in our software, transforming passive AI responses into active, goal oriented behaviors.
Experience working with the GCP Vertex AI ecosystem is a big plus. In this role, you will design agents capable of complex reasoning and tool usage, leveraging Google’s managed infrastructure (Vertex AI Vector Search, Cloud Run, and BigQuery) to ensure reliability, security, and performance.
Requirements
Key Responsibilities
1\. Architecting and Implementing Agentic Workflows
Design Autonomous Loops: Build stateful control loops (Perception Reasoning Action) where agents can interpret clinical data, plan necessary checks, and generate risk assessments.
Conversational Agentic workflow: Chatbot style user experience powered by LLM
GCP Integration: Leverage Vertex AI for model serving and LLM models for reasoning, optimizing for long context windows to process complex medical history.
RAG & Grounding: Implement "Enterprise Grounding" using Vertex AI Vector Search to ensure all agent outputs are strictly cited against official medical literature (e.g., medical research and guidelines).
2\. Data & Tool Integration
Structured Data Access: Build robust Python tools (Function Calling) that allow agents to securely query BigQuery or other datastores for patient demographics and symptoms.
Security & Compliance: Ensure all AI operations comply with HIPAA/GDPR standards, implementing strict PII masking and data governance within the Google Cloud environment.
System Reliability: Deploy agents on Vertex AI, Cloud Run, or GKE, ensuring low latency inference and high availability for clinical users.
Agent monitoring: implement effective product environment AI Agent execution monitoring and alert system to ensure SLA, safety and security compliance
3\. Leadership & Strategy
Mentorship: Guide a team of engineers in MLOps best practices (CI/CD for models, evaluation pipelines).
Evaluation: Implement "LLM as a Judge" frameworks to automatically test agent accuracy against "Golden Datasets" of clinical cases.
Required Technical Skills
Core AI: Deep proficiency with LangChain or LangGraph, and specific experience with the Vertex AI SDK and ADK (Agent Development Kit) is highly desired
LLMs: Expertise in prompting and configuring LLMs, specifically utilizing Function Calling and Context Caching.
Experience with integrating LLMs into platform and application workflow, experience with MCP protocols
RAG/Embeddings: expert level experience in design and implementation of RAG based system using embeddings and vector databases
Data Engineering: Strong SQL skills for BigQuery; experience with Vector Databases (Pinecone, Milvus, or Vertex Vector Search)
Backend Engineering: Mastery of Python (FastAPI) and containerization (Docker) for deploying microservices to Cloud Run or GKE.
Healthcare Domain: Familiarity with handling unstructured medical text or clinical guidelines is highly preferred.
Qualifications
Experience:
5+ years of software development experience.
2+ years of hands on experience building and deploying enterprise grade agentic applications (e.g., using LangGraph, LangChain).
Familiarity with scalable, enterprise level distributed systems
Experience with advanced data structures, algorithms, and complexity analysis
Demonstrated history of product value delivery
Education:
Bachelor's degree in Computer Science, Computer Engineering, or a closely related quantitative field is required.
Master's degree in Artificial Intelligence, Machine Learning, or a relevant field is strongly preferred.
Work Authorization:
Must be a US Citizen, Green Card holder, or currently in the US having a valid H1B visa
Benefits
Joining C the Signs is not just about building AI; it’s about shaping the future of healthcare. If you are a technical leader with an unshakable belief in the power of AI to save lives and the ability to make it happen at scale, this is your opportunity to create a tangible, global impact.
Benefits:
Competitive salary and benefits package.
Stock option/equity
Flexible working arrangements (remote or hybrid options available).
The opportunity to work on life changing AI technology that directly impacts patient outcomes.
Join a team that combines cutting edge innovation with a mission to save lives and improve health equity.
Continuous learning opportunities with access to the latest tools and advancements in AI and healthcare.
Full job record
| Job ID | e26a94832ebe41beba164f3929dc4e29eec9683e |
| Org ID | 80a156fe-fe28-40ac-8f76-79f62cd700cf |
| Source ID | c0cdce61-3e3d-481f-ac34-799da9c624b4 |
| Board ID | c0cdce61-3e3d-481f-ac34-799da9c624b4 |
| Provider | workable |
| Provider Job Key | ECDC7C3E9C |
| Title | Lead/Senior AI Developer (Agentic Healthcare Application) |
| Normalized Title | — |
| Status | active |
| Active | yes |
| Location Text | United States (Remote) |
| Department | Technology |
| Team | — |
| Employment Type | full_time |
| Workplace Type | remote |
| Remote Policy | remote |
| Country | United States |
| Region | — |
| City | — |
| Salary Raw | Description Role Overview We are looking for a forward thinking Senior AI Developer to architect and build the next generation of Agentic AI applications in the healthcare industry. You will move beyond standard prompt engineering to design Agentic Workflows—systems where LLMs function as reasoning engines that can plan multi step tasks, utilize external tools (APIs, databases), and collaborate with other specialized agents to achieve high level goals. You will contribute to the technical implementation of "Agency" in our software, transforming passive AI responses into active, goal oriented behaviors. Experience working with the GCP Vertex AI ecosystem is a big plus. In this role, you will design agents capable of complex reasoning and tool usage, leveraging Google’s managed infrastructure (Vertex AI Vector Search, Cloud Run, and BigQuery) to ensure reliability, security, and performance. Requirements Key Responsibilities 1\. Architecting and Implementing Agentic Workflows Design Autonomous Loops: Build stateful control loops (Perception Reasoning Action) where agents can interpret clinical data, plan necessary checks, and generate risk assessments. Conversational Agentic workflow: Chatbot style user experience powered by LLM GCP Integration: Leverage Vertex AI for model serving and LLM models for reasoning, optimizing for long context windows to process complex medical history. RAG & Grounding: Implement "Enterprise Grounding" using Vertex AI Vector Search to ensure all agent outputs are strictly cited against official medical literature (e.g., medical research and guidelines). 2\. Data & Tool Integration Structured Data Access: Build robust Python tools (Function Calling) that allow agents to securely query BigQuery or other datastores for patient demographics and symptoms. Security & Compliance: Ensure all AI operations comply with HIPAA/GDPR standards, implementing strict PII masking and data governance within the Google Cloud environment. System Reliability: Deploy agents on Vertex AI, Cloud Run, or GKE, ensuring low latency inference and high availability for clinical users. Agent monitoring: implement effective product environment AI Agent execution monitoring and alert system to ensure SLA, safety and security compliance 3\. Leadership & Strategy Mentorship: Guide a team of engineers in MLOps best practices (CI/CD for models, evaluation pipelines). Evaluation: Implement "LLM as a Judge" frameworks to automatically test agent accuracy against "Golden Datasets" of clinical cases. Required Technical Skills Core AI: Deep proficiency with LangChain or LangGraph, and specific experience with the Vertex AI SDK and ADK (Agent Development Kit) is highly desired LLMs: Expertise in prompting and configuring LLMs, specifically utilizing Function Calling and Context Caching. Experience with integrating LLMs into platform and application workflow, experience with MCP protocols RAG/Embeddings: expert level experience in design and implementation of RAG based system using embeddings and vector databases Data Engineering: Strong SQL skills for BigQuery; experience with Vector Databases (Pinecone, Milvus, or Vertex Vector Search) Backend Engineering: Mastery of Python (FastAPI) and containerization (Docker) for deploying microservices to Cloud Run or GKE. Healthcare Domain: Familiarity with handling unstructured medical text or clinical guidelines is highly preferred. Qualifications Experience: 5+ years of software development experience. 2+ years of hands on experience building and deploying enterprise grade agentic applications (e.g., using LangGraph, LangChain). Familiarity with scalable, enterprise level distributed systems Experience with advanced data structures, algorithms, and complexity analysis Demonstrated history of product value delivery Education: Bachelor's degree in Computer Science, Computer Engineering, or a closely related quantitative field is required. Master's degree in Artificial Intelligence, Machine Learning, or a relevant field is strongly preferred. Work Authorization: Must be a US Citizen, Green Card holder, or currently in the US having a valid H1B visa Benefits Joining C the Signs is not just about building AI; it’s about shaping the future of healthcare. If you are a technical leader with an unshakable belief in the power of AI to save lives and the ability to make it happen at scale, this is your opportunity to create a tangible, global impact. Benefits: Competitive salary and benefits package. Stock option/equity Flexible working arrangements (remote or hybrid options available). The opportunity to work on life changing AI technology that directly impacts patient outcomes. Join a team that combines cutting edge innovation with a mission to save lives and improve health equity. Continuous learning opportunities with access to the latest tools and advancements in AI and healthcare. |
| Salary Min | — |
| Salary Max | — |
| Salary Currency | — |
| Salary Period | — |
| Source URL | https://apply.workable.com/c-the-signs/jobs/view/ECDC7C3E9C |
| Apply URL | https://apply.workable.com/c-the-signs/j/ECDC7C3E9C/apply |
| First Seen At | 2026-05-31 17:47:30Z |
| Last Seen At | 2026-06-06 13:32:14Z |
| Last Checked At | 2026-06-06 13:32:14Z |
| Last Changed At | 2026-05-31 17:47:30Z |
| Inactive At | — |
| Source Posted At | 2026-02-05 00:00:00Z |
| Source Updated At | — |
| Raw Payload Uri | s3://job-postings-prod-raw-590183727216/raw/provider=workable/board=c-the-signs/date=2026-06-06/2026-06-06T13-32-14-201Z-1d7e9089a1f44896e8046ec330c66acb780333ce7f00506c73e19318243ac2e3.json |
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"descriptionText": "Description\n\n Role Overview\n\nWe are looking for a forward thinking Senior AI Developer to architect and build the next generation of Agentic AI applications in the healthcare industry. You will move beyond standard prompt engineering to design Agentic Workflows—systems where LLMs function as reasoning engines that can plan multi step tasks, utilize external tools (APIs, databases), and collaborate with other specialized agents to achieve high level goals.\n\nYou will contribute to the technical implementation of \"Agency\" in our software, transforming passive AI responses into active, goal oriented behaviors.\n\nExperience working with the GCP Vertex AI ecosystem is a big plus. In this role, you will design agents capable of complex reasoning and tool usage, leveraging Google’s managed infrastructure (Vertex AI Vector Search, Cloud Run, and BigQuery) to ensure reliability, security, and performance.\n\n Requirements\n\n Key Responsibilities\n\n1\\. 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