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# Gen AI Engineer

- **Company:** HAN IT STAFFING, INC.
- **Location:** Hanover, NJ, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** LangGraph Framework, Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Audit Trail, Continuous Integration, Data Integration, Extract Transform Load (ETL), Graph Database, Information Retrieval, Python (Programming Language), PostgreSQL, Search Technologies, Workflow Management Systems, Cloud Platform System, Retrieval-Augmented Generation, Large Language Models, Multi-Agent Systems, Prompt Engineering, Generative AI, Agentic-AI, Fastapi, Pgvector, AI Platforms, CrewAI, AutoGen, Data Management, Machine Learning Operations, Claude, Restful APIs, Agent SDK, Semantic Kernel, GPT, Human in the Loop, Docker
- **Published:** November 5, 2026
- **Apply:** https://www.thejobnetwork.com/job/98593b4d-b234-40f3-8be5-b36d327f5252/gen-ai-engineer

## About the Role

* MCP Server Development
 * Knowledge Graphs
 * Multi-modal Document Processing
 * Agent Evaluation & Monitoring Frameworks
 * Sustainability / Climate Data Platforms
 * AWS Solution Architecture Certification

Experience:

 * 3 years of GenAI/LLM engineering experience.
 * Proven experience building production-grade AI agents and cloud-native platforms.
 * Strong understanding of AI governance, risk controls, and enterprise deployment practices.

## Description

* The candidate will be responsible for designing, building, and deploying agentic AI solutions using modern frameworks and LLM technologies. The role will focus on multi-agent orchestration, AI reasoning, tool integration, knowledge retrieval, and production-scale AI platforms., * Develop autonomous AI agents capable of planning, reasoning, and task execution.
 * Build and orchestrate multi-agent workflows using LangGraph or similar frameworks.
 * Integrate LLMs such as Claude/GPT through AWS Bedrock and other enterprise AI services.
 * Develop MCP-based tools and integrations for APIs, document processing, search, analytics, and reporting.
 * Build scalable Python services, APIs, ETL pipelines, and data integrations.
 * Implement RAG, vector search, and knowledge retrieval solutions.
 * Ensure observability, monitoring, auditability, security, and AI governance controls.
 * Develop Human-in-the-Loop (HITL) workflows and validation mechanisms.

Mandatory Skills:

 * Python, FastAPI, REST APIs
 * LangGraph and Agentic AI frameworks (Claude Agent SDK, CrewAI, AutoGen, Semantic Kernel, etc.)
 * Multi-Agent Systems and Workflow Orchestration
 * Claude/GPT Models and AWS Bedrock
 * Prompt Engineering and Context Engineering
 * PostgreSQL, pgVector, Vector Databases, RAG
 * AWS, Docker, ECS/EKS, CI/CD
 * AI Governance, Monitoring, and Audit Controls