AI LEAD ENGINEER

Job Description

Position: AI Lead – LLMs, RAG, Agentic AI

We are looking for a highly experienced and hands-on AI Lead to drive the development of advanced AI solutions, with a core focus on Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and agentic AI systems. The ideal candidate will lead a small team, architect scalable systems, and collaborate across departments to build production-grade AI applications.

Duties & Responsibilities

• Lead and architect LLM projects including fine-tuning, distillation, and deployment.

• Design and prototype RAG and GraphRAG pipelines with vector and graph databases.

• Build agentic AI frameworks using LangGraph, CrewAI, AutoGen, and Pydantic agents.

• Mentor junior engineers and guide technical research and implementation strategies.

• Optimize inference pipelines via quantization, pruning, and caching.

• Evaluate models such as GPT, Claude, Mistral, LLaMA for custom use cases.

• Experiment with multimodal inputs, document processing, and prompt engineering.

Knowledge & Skills

• Deep understanding of LLM internals, transformer architecture, Hugging Face ecosystem.

• Proficient in Python, Pydantic, FastAPI (or equivalent frameworks).

• Experience with LangChain, LangGraph, CrewAI, AutoGen, or similar.

• Familiar with RAG systems, vector databases (FAISS, Pinecone, Weaviate), and graph DBs.

• Strong hands-on skills with LoRA, QLoRA, PEFT, and model evaluation.

• Knowledge of Docker, cloud platforms (GCP, AWS, Azure), and GPU orchestration.

Experience

• Minimum 3 years of total experience, with 2+ years in LLM-focused R&D.

Education

• Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or relevant field.

Job Skill

Job Details