AI / ML Engineer

About the role

Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing.

What you'll do

• Build and maintain full-stack applications (React/Next.js front-end Python or Node.js back-end) that expose agentic AI and LLM-powered features to end users
• Integrate agentic AI orchestration (e.g., CrewAI or equivalent) for automated validation, evaluation, and workflow-automation use cases
• Build and consume RAG pipelines — embedding generation, vector search, and context construction — to ground LLM features in enterprise data
• Design and ship RESTful/microservice APIs with authentication, RBAC, and API-gateway patterns for multi-tenant enterprise products
• Implement queue-based, asynchronous processing for high-concurrency workloads

What you need

• 6–8 yrs of experience
• Machine learning
• Python
• SQL
• LLMs
• AWS
• Prompt engineering
• MCA or B.Tech or B.E. or M.Tech or B.Sc or BCA

Good to have

• CI/CD
• Jenkins
• Figma
• Azure
• Next.js
• Node.js