🚀 Lead AI Engineer – Generative AI & Advanced ML

📍 Mumbai | 🏢 4 Days In Office | 🌐 1 Day Remote

We’re looking for a Lead AI Engineer – Generative AI who thrives at the intersection of innovation, leadership, and real-world impact. This is an opportunity to own and scale cutting-edge GenAI solutions end-to-end—from ideation to production.

If you’re passionate about building LLM-powered applications, AI agents, and intelligent systems at scale, and enjoy leading high-performing teams while shaping AI strategy, this role is built for you.

What You’ll Do

• Lead the design, development, and deployment of AI/ML and Generative AI solutions

• Architect end-to-end GenAI systems (data pipelines, training, evaluation, deployment, monitoring)

• Build and scale solutions across:

  • LLM-powered applications

  • Retrieval-Augmented Generation (RAG)

  • Prompt engineering & optimization

  • Fine-tuning & model adaptation

  • AI agents & orchestration workflows

• Deploy production-grade solutions using AWS (Bedrock & SageMaker)

• Apply ML/DL techniques for forecasting, prediction, and automation

• Mentor and lead a team of AI engineers and data scientists

• Collaborate with product and business teams to deliver high-impact AI solutions

• Ensure scalability, performance, and responsible AI practices

What We’re Looking For

Core Skills

• Strong expertise in Machine Learning, Deep Learning, and Statistical Modeling

• Hands-on experience with Generative AI (LLMs, RAG, prompt engineering, fine-tuning, AI agents)

• Proven experience deploying AI/ML solutions on AWS (Bedrock & SageMaker)

• Proficiency in Python (pandas, NumPy, scikit-learn, PyTorch/TensorFlow)

• Solid experience with SQL and large-scale data processing

• Strong understanding of ML system design and model evaluation

Required Experience

• 5–9 years in AI/ML, Data Science, or AI Engineering

• 1–2 years in a technical leadership role

• Proven track record of building and scaling production-grade AI/GenAI systems

Nice to Have

• Experience with MLOps (CI/CD, monitoring, model versioning)

• Exposure to big data tools (Spark, distributed systems)

• Familiarity with vector databases (FAISS, Pinecone, Weaviate)

• Understanding of AI governance and responsible AI frameworks

Why Join Us?

• Work on next-gen AI problems with real business impact

• Own solutions end-to-end (no siloed roles)

• Be part of a high-growth, innovation-driven environment

• Opportunity to lead, mentor, and shape AI strategy