Job Description

We currently have three urgent hybrid openings:

• 2 Developer roles Dallas, TX
• 1 Lead Developer Basking Ridge, NJ

Rate: Open Work Mode: Hybrid

Lang Graph, React, Lang Chain, Llama Index, Python

Google Cloud Platform, Google Spanner / Neo4j, CrewAI, AutoGen, OpenAI

The Agentic AI Lead will drive the research, development, and deployment of semi-autonomous AI agents designed to solve complex enterprise challenges. This role requires hands-on expertise with LangGraph and the ability to lead initiatives that build multi-agent systems capable of autonomy, adaptability, and intelligent decision-making. The ideal candidate should have deep knowledge of LLM orchestration, knowledge graphs, reinforcement learning (RLHF/RLAIF) , and real-world AI implementation.

• Architecting & Scaling Agentic AI Solutions
• Design and develop multi-agent AI systems using LangGraph for workflow automation, complex decision-making, and autonomous operations.
• Build memory-augmented, context-aware agents capable of reasoning, planning, and executing tasks across domains.
• Define scalable architectures for LLM-powered agents integrated with enterprise applications.
• Hands-On Development & Optimization
• Develop and optimize orchestration workflows using LangGraph with a focus on modularity, scalability, and performance.
• Implement knowledge graphs , vector databases (Pinecone, Weaviate, FAISS), and RAG techniques to enhance agent reasoning.
• Apply reinforcement learning (RLHF/RLAIF) to fine-tune AI agents for better decision-making and adaptability.
• Driving AI Innovation & Research
• Lead cutting-edge initiatives in Agentic AI, LangGraph, and LLM orchestration.
• Stay ahead of advancements in multi-agent systems, AI planning, and self-improving agents.
• Prototype and experiment with self-learning AI systems that adapt via real-time feedback.
• AI Strategy & Business Impact
• Translate Agentic AI capabilities into enterprise-grade solutions for automation, efficiency, and ROI.
• Lead PoCs to validate business impact and scale successful prototypes to production.

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