Agentic AI Lead

Hi,

Hope you are doing good, This is Rajeev from FutureTech Consultants, LLC and I have a job opening with our direct client.

Please have a look at the below job description and let me know your interest. Please share me the latest copy of your resume.

Role: Agentic AI Lead

Location: Tampa, FL (or) Dallas, TX (Hybrid 3 days)

Duration: Long Term Contract

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.

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.

Mentorship & Capability Building

• Lead and mentor a team of AI Engineers and Data Scientists, fostering deep technical expertise in LangGraph and multi-agent architectures.
• Establish best practices for model evaluation, responsible AI, and real-world deployment of autonomous AI agents.

Regards

Rajeev Mudakala

Sr. Talent Acquisition Specialist

FutureTech Consultants, LLC

5655 Peachtree Parkway, Suite 212, Peachtree Corners, GA 30092

Direct:

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