AI Developer / Agentic AI Engineer

Location: Charlotte, NC

AI Developer / Agentic AI Engineer

AI Developer / Agentic AI EngineerRole SummaryWe are building an agentic AI platform to transform commercial banking customerservice. The AI developer will design, build, and operate LLM-powered agents thatinterpret inbound servicing requests (e.g., email / case intake), retrieve groundedknowledge, and execute approved workflows through secure tool/API integrations – withenterprise-grade controls, observability, and human-in-the-loop patterns.This role sits within a cross-functional team with Product, Operations, Technology, andRisk partners and focuses on delivering production-ready agentic AI capabilities forregulated financial servicesResponsibilitiesAgentic 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 logicfor servicing workflows Developed tool calling integrations to downstream systems (CRM, workflowengine, core banking services, case management) Implement human-in-the-loop workflows (review, approval, escalation, override)based on confidence/risk thresholdsKnowledge and grounding (RAG) Design and implement retrieval-augmented generation (RAG) for policyprocedure grounding and resolution guidance Build knowledge ingestion pipelines with refresh/versioning Improve answer quality via chunking strategies, embeddings re ranking andcontext managementQuality, 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 abilityrequirements are met.Production Readiness and Operations

 Implement observability for agents (latency, cost, tool failures, drift, qualitysignals, escalation rates). Support CI/CD for agent prompts and configurations (versioning, approvals,rollback). Collaborate with platform and security teams on secrets management, accesscontrols, PII protections, and safe deployments.Required Qualifications 4+ years of software engineering experience or equivalent with strong CSfundamentals 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, SemanticKernel 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) withbasic DevOps practices Strong understanding of security and privacy principles (PII handling, leastprivilege, audit logging)Preferred Qualifications Experience in financial services or other regulated domains (risk controls,compliance audit readiness) Experience integrating with enterprise workflows (e.g., , Customworkflow 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, anddocument processing Exposure to MRM concerns and governance (model cards, risk assessments,validation processes)