Back to jobs15+ years of progressive software/AI/ML engineering experience, with 5+ years in senior engineering leadership managing multi-team organisations
Deep hands-on expertise in GenAI engineering: LLM-based applications, RAG pipelines, agentic systems, prompt engineering, and LLM evaluation at production scale, with a proven track record of shipping AI/GenAI products end-to-end
Strong experience with modern AI/GenAI technology stacks including LangChain/LangGraph, Azure OpenAI, OpenAI APIs, vector databases (Pinecone, Weaviate, pgvector), and embedding models
Experience architecting multi-agent systems and agentic orchestration frameworks in production environments, combined with MLOps practices and production AI system reliability at scale
Demonstrated ability to lead large, high-performing engineering teams – including hiring, performance management, and career development – while translating complex business requirements into AI engineering strategy and delivered outcomes
Strong commercial acumen with ability to build business cases, define ROI, and communicate AI investment decisions to executive stakeholders
MSc/MBA/B.Tech/M.Tech in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a closely related technical discipline (Bachelor’s degree with exceptional industry experience will be considered)
