AI Engineering Manager

Requirements:

• Strong experience in software/data/ML engineering, including significant hands-on work building and operating AI/ML or LLM-based solutions in production.
• Proven experience leading AI/ML/LLM engineering teams or acting as a senior technical lead, ideally in a global or distributed setup.
• Deep practical knowledge of GCP and Vertex AI, with experience designing and operating production workloads using Vertex AI models, endpoints, pipelines and RAG/vector search.
• Experience with Microsoft AI / Azure AI Foundry or similar platforms, and familiarity with at least one modern agentic AI framework or platform.
• Solid understanding of LLMs and foundation models (transformers, tokenisation, context windows, embeddings, RAG, fine-tuning vs adapters vs prompts, tool calling and risks such as hallucinations or prompt injection).
• Hands-on experience designing and building AI agents or agentic workflows, integrating them with tools, APIs and internal systems, and managing their reliability, safety and observability.
• Strong background in security, governance and compliance for AI solutions, including handling of sensitive data, role-based access controls and auditability.
• Experience with DevOps/MLOps practices for AI: CI/CD, model and prompt versioning, environment management, infrastructure as code, monitoring and incident management.
• Knowledge of AI evaluation techniques and model testing, including experiment design, quantitative and qualitative evaluation, and human-in-the-loop processes.
• Excellent communication and stakeholder management skills; able to collaborate effectively with teams in India and internationally, and to balance ambition, feasibility and risk.