Job Title

Freelance opportunityJob Description Role: Tech Lead - Senior Agentic AI & LLM Engineer Exp: 8+ YearsJob Location: Remote Start Date: Immediate Shift Timings: 5pm-1am Duration: 6 Months(Extendable) Role Overview: Role: Technical AI Lead Job Description: Tech Lead - Senior Agents/Agentic AI & LLM Engineer (Python, vLLM/TGI) 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. ● Building custom tools, connectors, or model-controller interfaces (e.g., MCP). ● Experience with RAG pipelines, evaluation frameworks, and scalable inference environments.