AI Engineer, India, 2-3 years

AI Engineer, India, 2-3 years

Minimum 2 year(s) of hands-on experience with Python (comfortable with PyTorch/TensorFlow)

Minimum 1 year(s) of experience with LangChain/LlamaIndex

Minimum 1 year(s) of experience with RAG pipelines and vector databases

Practical exposure to agentic/LLM systems such as toolcalling, autonomous task execution, workflow orchestration, reasoning chains, prompt engineering, and integrating models with APIs or enterprise systems.

Strong MLOps & engineering discipline including experience with cloud platforms (Azure/AWS/GCP), containerization (Docker), CI/CD, data pipelines, and deploying ML systems into production environments.

Problemsolving mindset and crossfunctional communication skills with the ability to translate business requirements into intelligent workflows, run experiments, and iterate quickly in a fast-paced AI environment.

Design, build, and optimize agentic AI systems leveraging LLMs, multi-agent frameworks, tooluse orchestration, retrieval systems, and autonomous workflows to solve complex realworld problems.

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 thirdparty services.

Collaborate crossfunctionally with product, engineering, and domain SMEs to design endtoend intelligent workflows, ensure reliability/safety, and translate business needs into productiongrade agentic solutions.