AI product Engineer - Engagereel

Location: Gurgaon (Onsite: 5 days)

Comp: ₹15-20 LPA

What we are looking for :

  • 2+ years building software, Python-first
  • At least one LLM or agent thing you have built and can show - work or personal
  • Comfort owning a problem end to end: the PRD, the spec, and the Python/LLM MVP
  • You can explain and debug your own code, including the parts AI wrote
  • Hands-on builder energy. This is an IC seat, not a management role

Process :

  • Pre-call with MantriAI
  • Technical screen with MantriAI
  • Assignment / Interview rounds with EngageReel hiring team
  • In-office final round at Gurgaon HQ
  • Offer

Posted by MantriAI (search partner) for our client.

Every submission goes through my screen before any forwarding. I'll be in touch within 48 hours if there's a fit.

Required Information:

  • Name
  • Email
  • Whatsapp Number
  • LinkedIn profile
  • Resume (PDF)
  • Current Company and Designation
  • Total years of experience
  • Current CTC (in LPA)
  • Expected CTC (in LPA)
  • Notice Period
  • Are you comfortable with a 5-day onsite role in Gurgaon? (Yes/No)
  • Do you write Python regularly? (Yes/No)

Which best describes your last two years?

  • Engineer building AI / LLM features in production
  • Engineer, mostly non-AI, building LLM things on the side
  • PM or APM who also writes code
  • Founder or indie hacker building AI products
  • Student or early-career, building AI projects

Which of these have you actually built with - not just read about?

  • LLM APIs (OpenAI / Gemini / Anthropic)
  • Agents (LangGraph / CrewAI / custom)
  • RAG / vector databases
  • MCP servers or custom tools
  • Eval harnesses / LLM-as-judge
  • Prompt and context engineering
  • Video or image automation (ffmpeg / ComfyUI / Remotion)
  • AI coding tools daily (Cursor / Claude Code / Copilot)

One LLM or agent thing you've built.
Paste a link, and in 2-3 lines tell us what it does, what you did, and who used it.

Something you built that got shelved or killed.
What it was, and how you took it.

Any other comments