Position : Agentic AI Engineer
Location: Basking Ridge NJ(2 roles) and Irving TX(2 roles) – 3days Hybrid
Duration : 6+ Months
Primary – LangGraph, ReAct, LangChain, LlamaIndex, Python
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.