Role: Sr AI Developer/Agentic AI Engineer with banking exp.
Location: Charlotte NC - Need Local interview will be face to face
Duration: Long term contract
Exp: 6 Years
Role Summary
We are building an agentic Al platform to transform commercial banking customer service. The Al 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 too/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 Al capabilities for regulated financial services Responsibilities
Agentic Al 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 PIl 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 Al app stack (agents RAG tool/function calling).
- Strong proficiency in Python and building back-end services/APls.
- 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 )
- Experience deploying services in cloud environments (AWS/Azure/GP) with basic DevOps practices
- Strong understanding of security and privacy principles (PIl 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)
Thanks
Sanjay Kumar
Role: Sr AI Developer/Agentic AI Engineer with banking exp. Location: Charlotte NC - Need Local interview will be face to face Duration: Long term contract Exp: 6 Years Role Summary We are building an agentic Al platform to transform commercial banking customer service. The Al developer will d...
Role: Sr AI Developer/Agentic AI Engineer with banking exp.
Location: Charlotte NC - Need Local interview will be face to face
Duration: Long term contract
Exp: 6 Years
Role Summary
We are building an agentic Al platform to transform commercial banking customer service. The Al 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 too/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 Al capabilities for regulated financial services Responsibilities
Agentic Al 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 PIl 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 Al app stack (agents RAG tool/function calling).
- Strong proficiency in Python and building back-end services/APls.
- 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 )
- Experience deploying services in cloud environments (AWS/Azure/GP) with basic DevOps practices
- Strong understanding of security and privacy principles (PIl 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)
Thanks
Sanjay Kumar
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