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HI

Gen AI Engineer

Han IT Staffing
๐Ÿ‡บ๐Ÿ‡ธ United States
On-site
2 months ago
  • AI
  • LangGraph
  • Claude
  • GPT
  • AWS Bedrock
  • MCP
  • Python
  • ETL
  • RAG
  • Vector Search
  • FastAPI
  • REST API
  • CrewAI
  • AutoGen
  • Semantic Kernel
  • PostgreSQL
  • pgvector
  • AWS
  • Docker
  • ECS
  • EKS
  • CI/CD
  • Machine Learning
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Job Title: Gen AI Engineer
Location: Whippany, NJ (Hybrid)
Duration: Contract
Role Overview:
  • 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.
Key Responsibilities:
  • 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
Preferred Skills:
  • 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.

Gen AI Engineer ยท Han IT Staffing

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