Lead AI Engineer (Product company only) Description :The team works on :- AI Agents for automated issue resolution- User Intent Detection- AI-Powered Answers and Knowledge Base Enhancements- Agent CoPilot for agent productivity- LLM-based systems, proprietary ML models, and multimodal RAG pipelinesThe team includes Backend Engineers, Full-stack Developers, ML Engineers, Data Scientists, and Frontend Developers-collaborating to deliver intelligent and scalable AI experiences.About the role :We are looking for an experienced engineer with deep technical expertise in AI and strong leadership skills. You will help design and deliver advanced AI products and AI Agents, lead a group of engineers, and drive end-to-end execution of LLM-powered initiatives.This role combines hands-on AI/ML and LLM engineering with technical leadership-guiding backend, frontend, and full-stack developers to build reliable, scalable production AI systems.Requirements :What you'll do :- Lead and mentor a team of backend and frontend developers, fostering a high-performing, collaborative engineering culture.- Own the technical direction, architecture, and strategy for LLM, AI Agent, and ML initiatives.- Architect and build AI Agents, RAG pipelines (including multimodal RAG), LLM-based services, and evaluation frameworks.- Design, build, and deploy scalable AI/ML systems from concept to production.- Collaborate closely with PMs, ML Engineers, and Data Scientists to convert business requirements into AI-driven solutions.- Oversee full SDLC for your squad-ensuring strong engineering practices around coding, testing, quality, and reliability.- Conduct detailed technical reviews and provide guidance to maintain code quality.- Troubleshoot performance, scalability, and reliability issues in production AI systems.- Champion continuous improvement, automation,



and innovation within the team.- Keep the team up-to-date with advances in LLMs, LLMOps, fine-tuning techniques, vector search, and generative AI.What you'll bring :- 8- 10 years of experience in software development.- More than 5 years of hands-on experience in AI/ML.- More than 2 years in an engineering leadership role, preferably leading a cross-functional team.- Hands-on experience building :1. AI Agents / Agentic workflows2. LLM pipelines (inference, orchestration, guardrails)3. RAG systems (vector search, knowledge bases, multimodal RAG)4. LLM fine-tuning (SFT, LoRA, instruction tuning)5. LLMOps workflows (monitoring, evaluation, optimization, versioning)- Solid understanding of ML algorithms, embeddings, transformers, vector semantics, and distributed systems.- Experience with Vector Databases such as Elasticsearch, Weaviate, Pinecone, or Milvus.- Proficiency with ML frameworks (PyTorch, TensorFlow, scikit-learn).- Experience with cloud platforms (AWS, GCP, Azure) and MLOps tooling.Good to have :- Solid foundation in backend technologies such as Python, Java, Go, Node.js, and experience with Kafka.- Knowledge of the Gaming industry or Customer Support domain.- Familiarity with frontend frameworks (React, Angular, Vue.js).- Exposure to functional programming (Clojure preferred; our team uses Clojure).- Experience in startup/high-growth environments.- Open-source contributions in AI/ML/LLM projects.- Experience with containerization and orchestration (Docker, Kubernetes).Bonus Points :- Experience building production-grade LLM-powered automation for customer support or gaming.- Publications, presentations, or contributions related to LLMs, RAG, or AI Agents.Benefits :- Hybrid setup- Worker's insurance- Paid Time Offs- Other employee benefits to be discussed by our Talent Acquisition team in India. (ref:hirist.tech)

📌 Lead AI Engineer (Pune)
🏢 Skyleaf
📍 Pune