Lead AI Engineer · Helpshift

Mon, 09 Mar 2026 10:54:45 GMT
Engineering

Helpshift · Pune, Maharashtra, India · hybrid
About the role: You will be part of the AI team responsible for building next-generation AI capabilities at Helpshift. The team works on various projects, including AI Agents for automated issue resolution, User Intent Detection, AI-Powered Answers and Knowledge Base Enhancements, Agent CoPilot for agent productivity, and LLM-based systems, proprietary ML models, and multimodal RAG pipelines. About the team: The team includes Backend Engineers, Full-stack Developers, ML Engineers, Data Scientists, and Frontend Developers—collaborating to deliver intelligent and scalable AI experiences. Responsibilities: - 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. Requirements: - 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: - AI Agents / Agentic workflows - LLM pipelines (inference, orchestration, guardrails) - RAG systems (vector search, knowledge bases, multimodal RAG) - LLM fine-tuning (SFT, LoRA, instruction tuning) - LLMOps workflows (monitoring, evaluation, optimization, versioning) - Strong 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.