Description

You will design, develop, and maintain backend services and APIs that support AI/ML applications at scale.

This role is on-site.

Responsibilities

• Productionize ML and deep learning models with efficient, reliable, low-latency inference.
• Build scalable microservices and REST/gRPC APIs for deploying AI solutions in enterprise environments.
• Optimize model serving and inference performance using production deployment frameworks and runtimes.
• Implement MLOps practices including model versioning, monitoring, and automated deployments.

Required Skills

• 7+ years of experience in Computer Science, Software Engineering, Data Science, or related fields.
• Python and FastAPI for building backend services and AI/ML APIs.
• LLM and AI/ML experience, including prompt engineering and integrating LLMs into backend systems.
• Containerization with Docker to support consistent deployments.
• Production experience with inference pipelines and backend model serving.

Preferred Skills

• CI/CD practices for automated build, test, and deployment.
• Agentic AI experience and building agent workflows.
• Cloud experience with AWS, Azure, or GCP.

Key Skills

Education

Any Graduate