Technical AI Lead

About the Role:

Job Description: Technical AI Lead - Senior Agents/Agentic AI & LLM Engineer (Python, vLLM/TGI)

Location: Remote

Timings: Full Time (As per company timings)

Notice Period: (Immediate Joiner - Only)

Experience: Min 6-8 Years

Shift - EST shift 5pm - 1am

 

Mandate Skills for Technical Lead AI. – Hands-on experience

VLLM TGI, GPU-based Model serving , Production open source LLM Optimization

Building custom tools, connectors, or model-controller interfaces (e.g., MCP).

 

 

Technical AI Lead

We are seeking a highly skilled lead engineer with deep expertise in Agentic AI, autonomous agents, and Large Language Models (LLMs). The ideal candidate has 6+ years of hands-on experience in Python and open-source model ecosystems, with proven ability to design and deploy tailored AI pipelines and work with a wide range of open models (e.g., Qwen, Llama, Mistral, and others).

 

Responsibilities


Build and optimize agentic systems and multi-agent workflows for real-world applications.
Develop tailored LLM pipelines using frameworks such as LangChain, LangGraph, and related ecosystems.
Deploy and optimize open-source LLMs using vLLM, TGI (Text Generation Inference), and Python-based inference stacks.
Work with diverse open models (Qwen, Llama, Mistral, etc.) including fine-tuning, evaluation, and integration.
Implement scalable AI services with robust prompt engineering, autonomous task planning, and tool execution.
Collaborate with cross-functional teams to define architecture, performance goals, and best practices.


Required Experience


Strong proficiency in Python
Expertise in Agentic AI, agent frameworks, and autonomous orchestration.
Hands-on experience with tailored pipelines for LLMs and multi-agent systems.
Experience with vLLM, TGI, and model serving infrastructure.
Extensive work with open-source LLMs (Qwen, Llama, Mistral, and similar families).
Experience with LangChain, LangGraph, and related agent frameworks.
Solid understanding of inference optimization, embeddings, vector search, and model integration patterns.
Clear Communication Effectively communicates with leadership and peers.
Delegation Skills– Able to delegate work efficiently and responsibly.
Influence & Persuasion: Capable of influencing management and peers toward effective solutions.


Preferred Experience


Multi-agent architectures for analytics, automation, or workflow systems.
. Skillset Required: python, artificial intelligence, LLM, NLP, Technical lead