Project Role : AI / ML Engineer
Project Role Description : 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.
Must have skills : Large Language Models (LLMs)
Good to have skills : NA
Minimum 3 Year(s) Of Experience Is Required
Educational Qualification : 15 years full time education
Summary:
Build complete user-facing agentic AI products across frontend, backend, AI orchestration, data integration, and deployment.
Hands-on proficiency with v0, Lovable, Bolt.new and Replit Agent for rapid full-stack generation, combined with Cursor, Claude Code or Copilot to convert prototypes into tested React/TypeScript and Python services with secure authentication, databases, APIs and deployment pipelines.
Must have shipped and operated full-stack applications used by real users. Portfolio projects and AI demos without production ownership are insufficient.
Roles & Responsibilities:
- Develop responsive interfaces for conversational and workflow-based AI applications.
- Build backend services, APIs, agent orchestration, retrieval, and tool integrations.
- Implement streaming, state management, approvals, notifications, and exception handling.
- Integrate authentication, authorization, enterprise systems, and data sources.
- Build evaluation, telemetry, error handling, and production monitoring.
- Optimize user experience, latency, reliability, accessibility, and cost.
- Participate in production support and continuous improvement.
Professional & Technical Skills:
- React, TypeScript, or comparable modern frontend frameworks.
- Python, APIs, asynchronous processing, and databases.
- LLM APIs, RAG, agent frameworks, streaming, and structured outputs.
- Cloud deployment, containers, CI/CD, identity, security, and observability.
