AI Product Engineer
- Location
- Pune, MH, India
- Work mode
- On-site
- Employment type
- Full-time
About the job
Experience: 3–5 years
Must-Have Skills:
• Strong software engineering fundamentals in at least one stack — clean APIs, sensible data models, tests, real debugging. Depth in one stack beats familiarity with five. • Learning agility — a provable track record of entering an unfamiliar domain or codebase and shipping within weeks. This can substitute for most stack requirements. • AI-native development with judgment — uses Claude Code or equivalent agentic tools as a primary way of building. Should be able to drive one live in the interview and explain where they took the keyboard back. • High agency and builder's bias — takes an ambiguous ask and drives it to a shipped, measured fix. • PostgreSQL competence — real queries, indexes, transactions, and the instinct that a wrong query is a customer-visible bug. • Clear communication — can explain trade-offs to non-engineers without jargon, writes clearly, and is comfortable with real client contact. • Working understanding of LLM agents — should be able to speak to what they've built with an LLM API and how it failed on them. Production-level depth is not required; we teach that. Good-to-Have Skills: Our environment (depth in some is a plus; candidate ramps on the rest):
• Python 3.11 (FastAPI, asyncio, pydantic)
- Python 3.11 (FastAPI, asyncio, pydantic)
- Anthropic and OpenAI SDKs
- Next.js / React / TypeScript at working proficiency
- Redis, Typesense
- AWS (EC2/ALB, RDS, SQS, SES)
- GitHub Actions, Datadog
• Production LLM/agent work (evals, guardrails, multi-agent, MCP)
- Production LLM/agent work (evals, guardrails, multi-agent, MCP)
- Prior forward-deployed or consulting-style client work
- Airflow or data pipelines
- Browser automation, OCR/vision
- Build and operate AI agents and LLM-powered products — copilots, workflow agents, extraction pipelines, internal tools — and maintain/evolve existing ones.
- Own problems end to end: from the client conversation through design, code, deploy, and production support.
- Work AI-first, with humans owning judgment and outcomes — validate what the tools produce and own every line that ships.
- Take part in client and partner conversations: discovery, live demos of work in progress, pilot support.
- Write short proposals and design docs; decisions move through documents and PRs, not meeting chains.
- Run a lane end to end within a small, async-first team.
- Write tests where they protect what matters — agent behaviour and money paths. No coverage theatre.
- Apply AI security basics: prompt injection via untrusted content, least-privilege tool permissions, secrets hygiene, verifying anything inbound before acting on it.
From Coditude's careers page (Keka), checked 29 Oct 2026.
How to apply
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Posted 3 Sept 2026 · checked 29 Oct 2026 · Report this job