Resume sample · ATS-friendly · Updated

AI Product Engineer resume sample

Target role: AI Product Engineer / Full Stack Engineer (AI). Sample profile: full stack developer (4 years) moving into AI product engineering. Edit it right here, watch the ATS keyword checklist update, then download it.

This is a sample. Replace every name, company, date and number with your own, real details. Never claim results you didn't achieve: interviewers will ask you about each bullet.

Your Name

AI Product Engineer / Full Stack Engineer (AI)

City, India · +91 98XXX XXXXX · your.name@email.com · linkedin.com/in/yourname · github.com/yourname

Professional Summary

Full stack engineer with 4 years of React, TypeScript and Node.js experience, now shipping LLM powered product features. Built a streaming AI assistant with RAG and citations used by 9,000 customers a month, backed by an evaluation suite and feedback loop. Strong in product UX for AI, Prompt Engineering and turning prototypes into reliable features.

Skills

  • Languages: TypeScript, JavaScript, Python, SQL
  • Frontend & Backend: React, Next.js, Node.js, FastAPI, REST APIs
  • AI: LLM APIs (Anthropic, OpenAI), Vercel AI SDK, RAG, Vector Database (pgvector), Prompt Engineering, Structured Output, Streaming
  • Quality: LLM Evaluation, A/B Testing, Observability, Jest, Playwright

Professional Experience

Software Engineer II (AI Features), Woodgrove Travel Tech, Bengaluru Mar 2023 to Present

  • Shipped a Streaming AI trip assistant in Next.js and the Vercel AI SDK; 9,000 monthly active users with a 4.5/5 rating.
  • Built RAG over 3,000 help articles with pgvector and citations, deflecting 27% of support tickets in an A/B Testing rollout.
  • Created an LLM Evaluation suite of 150 real queries; improved correct and cited answers from 72% to 91% through Prompt Engineering and retrieval fixes.
  • Added structured JSON output with schema validation for itinerary extraction, cutting production parsing errors from 4% to 0.
  • Cut LLM cost per conversation by 38% with response caching and model routing.

Frontend Developer, Tailspin Media, Pune Jul 2021 to Feb 2023

  • Built React and TypeScript dashboards used by 200 editors; improved Lighthouse performance from 61 to 94.
  • Developed Node.js APIs for content scheduling serving 50K requests/day.

Projects

Chat with your Docs · Next.js, RAG, evals github.com/yourname/DocsChat

  • Open source RAG starter with citations, a 'not found' rule, 👍/👎 feedback and a one command eval script (380+ GitHub stars).

Education

B.Tech, Electronics and Communication, Your University · 2021

Certifications

  • Building Systems with the ChatGPT API, DeepLearning.AI
  • Meta Front End Developer Certificate

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