Job Description:

1. Rapid Prototyping & Application Development

Build AI applications, copilots, and agentic workflows end-to-end UI, APIs, business logic, and model integration.

Use rapid development tools (Cursor, Claude Code, Replit, Google AI Studio) to compress build cycles and iterate quickly with users and stakeholders.

Turn loosely-defined requirements into working demos and prototypes within days, then refine based on feedback.

2. Agentic & GenAI Engineering

Develop with agentic SDKs and frameworks OpenAI Agents SDK, Anthropic Claude (Agent SDK / API), Google Gemini & ADK, LangChain/LangGraph.

Implement RAG pipelines, tool/function calling, structured outputs, and prompt engineering with systematic testing and evals.

Integrate models and agents with enterprise data sources and APIs, handling auth, rate limits, and error paths properly.

3. Engineering Quality & Productionization





Write clean, testable, well-documented code; use Git, containers, and CI/CD as standard practice.

Partner with Forward Deployment Engineers and platform teams to take successful prototypes into production, adding monitoring, guardrails, and cost controls.

Balance speed and quality pragmatically knowing when to hack and when to harden.

4. Collaboration & Continuous Learning

Work closely with architects, data scientists, and designers; contribute to demos, accelerators, and internal hackathons.

Stay current with the quick-moving model and tooling landscape, and share learnings across the team.

Evangelize AI-assisted development practices that raise the whole team's velocity.

📌 AI Engineering Lead (Noida)
🏢 Acme Services Private
📍 Noida