AGENTIC AI ENGINEER - ONLY LOCALS (IN-PERSON INTERVIEW)

Agentic Al Engineer Charlotte, NC - HYBRID Long Term Contract Interview Mode: In-Person interview is a must 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 • 5+ 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 & Regards Prabhash SYSTEM EDGE USA LLC