Agentic AI Engineer

Role: Agentic AI Engineer

Location: Basking Ridge NJ / Irving TX – 3days Hybrid

Hire Type: Long term Contract

Key Responsibilities:

1.Architecting & Scaling Agentic AI Solutions

Design and develop multi-agent AI systems using LangGraph for workflow automation, complex decision-making, and autonomous problem-solving.

Build memory-augmented, context-aware AI agents capable of planning, reasoning, and executing tasks across multiple domains.

Define and implement scalable architectures for LLM-powered agents that seamlessly integrate with enterprise applications.

2.Hands-On Development & Optimization

Develop and optimize agent orchestration workflows using LangGraph, ensuring high performance, modularity, and scalability.

Implement knowledge graphs, vector databases (Pinecone, Weaviate, FAISS), and retrieval-augmented generation (RAG) techniques for enhanced agent reasoning.

Apply reinforcement learning (RLHF/RLAIF) methodologies to fine-tune AI agents for improved decision-making.

3.Driving AI Innovation & Research

Lead cutting-edge AI research in Agentic AI, LangGraph, LLM Orchestration, and Self-improving AI Agents.

Stay ahead of advancements in multi-agent systems, AI planning, and goal-directed behavior, applying best practices to enterprise AI solutions.

Prototype and experiment with self-learning AI agents, enabling autonomous adaptation based on real-time feedback loops.

4.AI Strategy & Business Impact

Translate Agentic AI capabilities into enterprise solutions, driving automation, operational efficiency, and cost savings.

Lead Agentic AI proof-of-concept (PoC) projects that demonstrate tangible business impact and scale successful prototypes into production.