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Gen AI Engineer
Ref No.: 26-00645
Location: Whippany, New Jersey
Position Type:Contract
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.