Description

You will design, build, and scale AI-powered product features for enterprise clients.

This role is on-site.

Responsibilities

• Design and develop AI-driven features using ML, GenAI, and LLMs.
• Implement RAG pipelines, vector databases, and conversational AI systems.
• Develop RESTful APIs and microservices for model serving.
• Containerize and orchestrate applications using Docker and Kubernetes.
• Ensure system reliability, scalability, security, and cost efficiency.

Required Skills

• Up to 2 years of engineering experience.
• Proficiency in Python and SQL.
• Familiarity with AI agents and frameworks like LangChain or LangGraph.
• Understanding of agent design patterns and evaluation techniques.
• Experience with Model Context Protocol (MCP) servers.
• Hands-on experience with LLMs and prompt engineering.
• Knowledge of RAG architectures and vector databases.
• Experience with Docker, Kubernetes, and CI/CD pipelines.
• Understanding of microservices architecture, serverless design, and 12-factor apps.

Preferred Skills

• MLOps practices and experience with autoscaling and high availability.

Key Skills

Education

Any Graduate