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 fast-moving model and tooling landscape, and share learnings

- across the team.

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

- Technical Skills & Tooling (Hands-On)

- Rapid development tools as daily drivers: Cursor, Claude Code, Replit, Google AI Studio,

- GitHub Copilot demonstrated ability to ship real software with AI-assisted workflows.

- Agentic SDKs & frameworks: hands-on experience with OpenAI Agents SDK, Anthropic

- Claude APIs/Agent SDK, Google Gemini/ADK, and LangChain or LangGraph.

- Robust programming skills in Python and/or TypeScript/JavaScript; comfort building full-

- stack prototypes (React/Node) and REST APIs.

- LLM application patterns: prompt engineering, function/tool calling, structured outputs,

- RAG with vector stores (pgvector, Pinecone, FAISS, or similar).

- Testing & observability basics: writing evals, using tracing tools (LangSmith, Langfuse, or

- similar), and monitoring cost/latency/quality.

- Engineering foundations: Git, Docker, CI/CD, and at least one cloud (AWS/Azure/GCP).

- Good to have: voice/multimodal experience (ElevenLabs, HeyGen), MCP-based tool

- integration, fine-tuning or open-source LLM experience.

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