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AI Developer

55192329 C32d 45ac B4cb 49d65ab192d0 19000101 000001 · Charlotte, NC, US, Charlotte, NC · Active · ADP Workforce Now Recruiting

Job facts

FieldValue
Company55192329 C32d 45ac B4cb 49d65ab192d0 19000101 000001
TitleAI Developer
Normalized title-
Department / team-
LocationCharlotte, NC, United States
Work model-
Employment type-
Salary-
Statusactive
ATS providerADP Workforce Now Recruiting
Posted / first seen2026-04-28 / 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
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Linked records

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

Description

We are unable to sponsor or take over sponsorship of an employment visa at this time AI Developer / Agentic AI Engineer Role Summary We are building an agentic AI platform to transform commercial banking customer service. The AI developer will design, build, and operate LLM-powered agents that interpret inbound servicing requests (e.g., email / case intake), retrieve grounded knowledge, and execute approved workflows through secure tool/API integrations – with enterprise-grade controls, observability, and human-in-the-loop patterns. This role sits within a cross-functional team with Product, Operations, Technology, and Risk partners and focuses on delivering production-ready agentic AI capabilities for regulated financial services Responsibilities Agentic AI Solution Development Build and enhance LLM/agent orchestration (Planner/supervisor patterns, tool-using agents, routing, guardrails). Implement intent classification information extraction validation and decision logic for servicing workflows Developed tool calling integrations to downstream systems (CRM, workflow engine, core banking services, case management) Implement human-in-the-loop workflows (review, approval, escalation, override) based on confidence/risk thresholds Knowledge and grounding (RAG) Design and implement retrieval-augmented generation (RAG) for policy procedure grounding and resolution guidance Build knowledge ingestion pipelines with refresh/versioning Improve answer quality via chunking strategies, embeddings re ranking and context management Quality, Safety and Evaluation Define and run evaluation frameworks: golden datasets, scenario tests, regression tests, and automated scoring. Reduce hallucinations and risk by implementing prompt policies, constraints, structured outputs, and verification steps. Partner with risk slash compliance to ensure traceability, audit logs, explain ability requirements are met. Production Readiness and Operations Implement observability for agents (latency, cost, tool failures, drift, quality signals, escalation rates). Support CI/CD for agent prompts and configurations (versioning, approvals, rollback). Collaborate with platform and security teams on secrets management, access controls, PII protections, and safe deployments. Required Qualifications 4+ years of software engineering experience or equivalent with strong CS fundamentals Hands-on experience building with LLMs and modern AI app stack (agents, RAG, tool/function calling). Strong proficiency in Python and building back-end services/APIs. Experience with at least one: LangChain / LangGraph, Llamalndex, Semantic Kernel or equivalent frameworks. Experience with vector databases and search (e.g., Pinecone, Weaviate, Milvus, OpenSearch/Elastic, pgvector) Experience deploying services in cloud environments (AWS/Azure/GCP) with basic DevOps practices Strong understanding of security and privacy principles (PII handling, least privilege, audit logging) Preferred Qualifications Experience in financial services or other regulated domains (risk controls, compliance audit readiness) Experience integrating with enterprise workflows (e.g., ServiceNow, Custom workflow engines, BPM/RPA) Familiarity with model evaluation approaches (LLM-as-judge, rubric scoring, retrieval evals, offline/online testing) Experience with messaging/eventing (Kafka/SQS), email ingestion pipelines, and document processing Exposure to MRM concerns and governance (model cards, risk assessments, validation processes) 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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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 At2026-04-28 13:28:00Z
Source Updated At—
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    "requisitionDescription": "<div><p style='margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;line-height:115%;font-size:16px;font-family:\"Aptos\",sans-serif;'><span data-teams=\"true\" data-pasted=\"true\"><strong>We are unable to sponsor or take over sponsorship of an employment visa at this time</strong></span></p><p style='margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;line-height:115%;font-size:16px;font-family:\"Aptos\",sans-serif;' data-pasted=\"true\"><strong>AI Developer / Agentic AI Engineer</strong></p><p style='margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;line-height:115%;font-size:16px;font-family:\"Aptos\",sans-serif;'><strong>Role Summary</strong></p><p style='margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;line-height:115%;font-size:16px;font-family:\"Aptos\",sans-serif;'>We are building an agentic AI platform to transform commercial banking customer service. The AI developer will design, build, and operate LLM-powered agents that interpret inbound servicing requests (e.g., email / case intake), retrieve grounded knowledge, and execute approved workflows through secure tool/API integrations &ndash; with enterprise-grade controls, observability, and human-in-the-loop patterns.</p><p style='margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;line-height:115%;font-size:16px;font-family:\"Aptos\",sans-serif;'>This role sits within a cross-functional team with Product, Operations, Technology, and Risk partners and focuses on delivering production-ready agentic AI capabilities for regulated financial services</p><p style='margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;line-height:115%;font-size:16px;font-family:\"Aptos\",sans-serif;'><strong>Responsibilities</strong></p><p style='margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;line-height:115%;font-size:16px;font-family:\"Aptos\",sans-serif;'>Agentic AI Solution Development</p><div style='margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;line-height:115%;font-size:16px;font-family:\"Aptos\",sans-serif;'><ul style=\"margin-bottom:0in;list-style-type: disc;\"><li style=\"margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;line-height:115%;font-size:16px;font-family: initial;\">Build and enhance LLM/agent orchestration (Planner/supervisor patterns, tool-using agents, routing, guardrails).</li><li style=\"margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;line-height:115%;font-size:16px;font-family: initial;\">Implement intent classification information extraction validation and decision logic for servicing workflows</li><li style=\"margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;line-height:115%;font-size:16px;font-family: initial;\">Developed tool calling integrations to downstream systems (CRM, workflow engine, core banking services, case management)</li><li style=\"margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;line-height:115%;font-size:16px;font-family: initial;\">Implement human-in-the-loop workflows (review, approval, escalation, override) based on confidence/risk thresholds</li></ul></div><p style='margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;line-height:115%;font-size:16px;font-family:\"Aptos\",sans-serif;'><strong>Knowledge and grounding (RAG)</strong></p><div style='margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;line-height:115%;font-size:16px;font-family:\"Aptos\",sans-serif;'><ul style=\"margin-bottom:0in;list-style-type: disc;\"><li style=\"margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;line-height:115%;font-size:16px;font-family: initial;\">Design and implement retrieval-augmented generation (RAG) for policy procedure grounding and resolution guidance</li><li style=\"margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;line-height:115%;font-size:16px;font-family: initial;\">Build knowledge ingestion pipelines with refresh/versioning</li><li style=\"margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;line-height:115%;font-size:16px;font-family: initial;\">Improve answer quality via chunking strategies, embeddings re ranking and context management</li></ul></div><p style='margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;line-height:115%;font-size:16px;font-family:\"Aptos\",sans-serif;'>Quality, Safety and Evaluation</p><div style='margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;line-height:115%;font-size:16px;font-family:\"Aptos\",sans-serif;'><ul style=\"margin-bottom:0in;list-style-type: disc;\"><li style=\"margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;line-height:115%;font-size:16px;font-family: initial;\">Define and run evaluation frameworks: golden datasets, scenario tests, regression tests, and automated scoring.</li><li style=\"margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;line-height:115%;font-size:16px;font-family: initial;\">Reduce hallucinations and risk by implementing prompt policies, constraints, structured outputs, and verification steps.</li><li style=\"margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;line-height:115%;font-size:16px;font-family: initial;\">Partner with risk slash compliance to ensure traceability, audit logs, explain ability requirements are met.</li></ul></div><p style='margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;line-height:115%;font-size:16px;font-family:\"Aptos\",sans-serif;'>Production Readiness and Operations</p><div style='margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;line-height:115%;font-size:16px;font-family:\"Aptos\",sans-serif;'><ul style=\"margin-bottom:0in;list-style-type: disc;\"><li style=\"margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;line-height:115%;font-size:16px;font-family: initial;\">Implement observability for agents (latency, cost, tool failures, drift, quality signals, escalation rates).</li><li style=\"margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;line-height:115%;font-size:16px;font-family: initial;\">Support CI/CD for agent prompts and configurations (versioning, approvals, rollback).</li><li style=\"margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;line-height:115%;font-size:16px;font-family: initial;\">Collaborate with platform and security teams on secrets management, access controls, PII protections, and safe deployments.</li></ul></div><p style='margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;line-height:115%;font-size:16px;font-family:\"Aptos\",sans-serif;'>Required Qualifications</p><div style='margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;line-height:115%;font-size:16px;font-family:\"Aptos\",sans-serif;'><ul style=\"margin-bottom:0in;list-style-type: disc;\"><li style=\"margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;line-height:115%;font-size:16px;font-family: initial;\">4+ years of software engineering experience or equivalent with strong CS fundamentals</li><li style=\"margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;line-height:115%;font-size:16px;font-family: initial;\">Hands-on experience building with LLMs and modern AI app stack (agents, RAG, tool/function calling).</li><li style=\"margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;line-height:115%;font-size:16px;font-family: initial;\">Strong proficiency in Python and building back-end services/APIs.</li><li style=\"margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;line-height:115%;font-size:16px;font-family: initial;\">Experience with at least one: LangChain / LangGraph, Llamalndex, Semantic Kernel or equivalent frameworks.</li><li style=\"margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;line-height:115%;font-size:16px;font-family: initial;\">Experience with vector databases and search (e.g., Pinecone, Weaviate, Milvus, OpenSearch/Elastic, pgvector)</li><li style=\"margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;line-height:115%;font-size:16px;font-family: initial;\">Experience deploying services in cloud environments (AWS/Azure/GCP) with basic DevOps practices</li><li style=\"margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;line-height:115%;font-size:16px;font-family: initial;\">Strong understanding of security and privacy principles (PII handling, least privilege, audit logging)</li></ul></div><p style='margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;line-height:115%;font-size:16px;font-family:\"Aptos\",sans-serif;'>Preferred Qualifications</p><div style='margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;line-height:115%;font-size:16px;font-family:\"Aptos\",sans-serif;'><ul style=\"margin-bottom:0in;list-style-type: disc;\"><li style=\"margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;line-height:115%;font-size:16px;font-family: initial;\">Experience in financial services or other regulated domains (risk controls, compliance audit readiness)</li><li style=\"margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;line-height:115%;font-size:16px;font-family: initial;\">Experience integrating with enterprise workflows (e.g., ServiceNow, Custom workflow engines, BPM/RPA)</li><li style=\"margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;line-height:115%;font-size:16px;font-family: initial;\">Familiarity with model evaluation approaches (LLM-as-judge, rubric scoring, retrieval evals, offline/online testing)</li><li style=\"margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;line-height:115%;font-size:16px;font-family: initial;\">Experience with messaging/eventing (Kafka/SQS), email ingestion pipelines, and document processing</li><li style=\"margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;line-height:115%;font-size:16px;font-family: initial;\">Exposure to MRM concerns and governance (model cards, risk assessments, validation processes)</li></ul></div><p style='margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;line-height:115%;font-size:16px;font-family:\"Aptos\",sans-serif;'><br></p><p style='margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;line-height:115%;font-size:16px;font-family:\"Aptos\",sans-serif;'><br></p><div style='margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;line-height:115%;font-size:16px;font-family:\"Aptos\",sans-serif;'><p><br></p><p><span data-teams=\"true\" data-pasted=\"true\"><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></div>\n",
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    "sponsoredVisaTypeCodes": []
  },
  "detail_meta": {
    "url": "https://workforcenow.adp.com/mascsr/default/careercenter/public/events/staffing/v1/job-requisitions/956181?cid=55192329-c32d-45ac-b4cb-49d65ab192d0&ccId=19000101_000001&lang=en_US&locale=en_US",
    "http_status": 200,
    "content_type": "application/json;charset=UTF-8",
    "response_bytes": 14588
  },
  "detail_errors": []
}
Get this page with API

Rendered from the bluedoor Job Postings API. Reproduce it:

GET https://api.bluedoor.sh/job-postings/v1/jobs/a6e9e224af6c18ac03b5a75d59e22d77358e66a7?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/a6e9e224af6c18ac03b5a75d59e22d77358e66a7/eventsJSON

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