Lead AI Engineer
Keywords Studios plc (company site, opens in a new tab)8–10 yrsPuneOn-siteDirect career pageEst. 35–55 LPA
Posted 16h ago
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Job description
Structured overview of role & requirements
About This Role
- Lead design and delivery of advanced AI products including AI Agents, LLM pipelines, and RAG systems from concept through production.
- Own technical architecture, strategy, and end-to-end execution of LLM-powered and AI/ML initiatives.
- Manage and mentor a cross-functional engineering team (backend, frontend, full-stack) ensuring coding quality, reliability, performance, and continuous improvement.
Minimum Requirements
- 8–10 years software development experience with over 5 years hands-on AI/ML experience.
- At least 2 years in an engineering leadership role leading cross-functional teams.
- Proven hands-on expertise building AI Agents, LLM pipelines (inference, orchestration, guardrails), RAG systems (vector search, multimodal), and fine-tuning LLMs (e.g., SFT, LoRA).
- Experience with ML frameworks (PyTorch, TensorFlow), vector databases (Elasticsearch, Weaviate, Pinecone, or Milvus), cloud platforms (AWS, GCP, Azure), and MLOps workflows.
Ideal Candidate Profile
- Experienced technical leader capable of driving architecture and strategy for complex AI/ML and LLM systems.
- Deep expertise in AI Agents, LLM engineering including RAG and fine-tuning techniques, coupled with strong backend/cloud/ML ops skills.
- Comfortable collaborating across frontend, backend, and data science teams in a product-driven, hybrid work environment focused on production-grade scalable AI solutions.