Agentic AI (LLM/RAG) Developer @ Charlotte, NC (Hybrid) - W2 Contract

Role 1 :- Agentic AI (LLM/RAG) Developer (Minimum 5 + Years Exp)

Location:- Charlotte, NC (Hybrid)

LOng term contract

LinkedIn ID mandatory --- 10 Position -- Locals are given First Preference - 5 Years Experience OPT also works.

Independent Conultants should be on our w2

Skills:- Python, LangGraph/Lang Chain, Agentic AI Solution Development, Knowledge and grounding (RAG)

Role Summary:- We are building an agentic AI 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 to/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

Required Qualifications:-

• 5+ years of software engineering experience or equivalent with strong CS fundamentals
• Hands-on experience building with LLMs and a modern AI app stack (agents, RAG, tool/function calling).
• Strong proficiency in Python and building back-end services/APIs.
• Experience with at least one: Lang Chain/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).