Agentic AI Engineer Lead

Position: Agentic AI Engineer Lead

Location: Dallas TX & Basking ridge NJ Day one Onsite ( 5 days)

Duration: Long term contract

** Prior Telecom domain experience will be a plus***

We have 2 in Dallas TX and 1 Lead and Developer in Basking NJ.

All are hybrid role and need urgent attention.

Primary - LangGraph ReAct LangChain LlamaIndex Python

Secondary - GCP Google Spanner/Neo4j CrewAI AutoGen OpenAI

Job Description:

The Agentic AI Lead is a pivotal role responsible for driving the research development and deployment of semi-autonomous AI agents to solve complex enterprise challenges. This role involves hands-on experience with LangGraph leading initiatives to build multi-agent AI systems that operate with greater autonomy adaptability and decision-making capabilities.

The ideal candidate will have deep expertise in LLM orchestration knowledge graphs reinforcement learning (RLHF/RLAIF) and real-world AI applications. As a leader in this space they will be responsible for designing scaling and optimizing agentic AI workflows ensuring alignment with business objectives while pushing the boundaries of next-gen AI automation.

Key Responsibilities:

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.

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.

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.

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