Agentic AI Lead

Agentic AI Lead

Dallas, Texas, OR Tampa FL (Onsite)

1 Year

Job requirements

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 :

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.

3. Driving AI Innovation & Research

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

4. AI Strategy & Business Impact

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

5. Mentorship & Capability Building

Lead and mentor a team of AI Engineers and Data Scientists, fostering deep technical expertise in LangGraph and multi-agent architectures.

Required Skills & Experience

✅ Strong hands-on experience with LangGraph and multi-agent AI development

✅ Proficiency in LLM orchestration (LangChain, LlamaIndex, OpenAI Function Calling)

✅ Expertise in reinforcement learning (RLHF, RLAIF) and self-improving AI agents

✅ Knowledge graph construction & RAG implementation for enhanced agent reasoning

✅ Experience deploying AI agents in production (GCP)

Thanks & Regards

Naveen Vulupala

(An eVerified Participant)

1159 Sonora Court, Suite 120

Sunnyvale, California 94086

naveen@codebaseinc.com

www.codebaseinc.com