AI Engineer, India, 2-3 years

About the role

Develop scalable ML pipelines and infrastructure including data processing, feature engineering, model training/evaluation and deployment using modern ML-Ops practices (Docker, Kubernetes, CI/CD, observability). Integrate agents with enterprise tools and APIs enabling autonomous planning, reasoning, and execution chains across cloud platforms, internal systems, and third‑party services.

What you'll do

• Design, build, and optimize agentic AI systems leveraging LLMs, multi-agent frameworks, tool‑use orchestration, retrieval systems
• Develop scalable ML pipelines and infrastructure including data processing, feature engineering
• Integrate agents with enterprise tools and APIs enabling autonomous planning, reasoning, and execution chains across cloud platforms, internal systems
• Collaborate cross‑functionally with product, engineering, and domain SMEs to design end‑to‑end intelligent workflows, ensure reliability/safety

What you need

• 2–3 yrs of experience
• Machine learning
• Python
• LLMs
• MLOps
• Prompt engineering
• AWS
• Any graduate

Good to have

• ETL
• PyTorch
• TensorFlow
• CI/CD
• Docker
• GCP