AI Developer / Agentic AI Engineer - Onsite - Charlotte, NC

We are currently looking to hire a AI Developer / Agentic AI Engineer and we believe your skills and expertise are a better match for this role. We have an exciting career opportunity for you with one of our esteemed clients at Charlotte NC

NJTECH is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

NJTECH is a globally managed IT service, IT consulting and Business solutions partner. Our "High Performance Business" strategy builds our expertise in technology and consulting. Our offshore consulting plays a major role in helping clients to achieve their objectives in the highest level; ultimately creating sustainable value to customers. Come, transform your career with us and be a part of our high-performing team.

Role: AI Developer / Agentic AI Engineer

Location: Charlotte NC

Duration : Long term

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/Google Cloud Platform) 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)