Generative AI Engineer resume example & templates

A realistic Generative AI Engineer resume shown in every design. Start from the example or use the design with your own resume.

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Generative AI Engineer resume example

Summary

Generative AI engineer with 5 years in machine learning and 2 years shipping LLM features to production. Built a retrieval-augmented support assistant that now resolves 31% of customer chats without a human handoff. Focuses on evaluation harnesses, cost control and guardrails so model features stay reliable after launch.

Experience

Generative AI Engineer, Brightkeel Software (Austin, TX)

Apr 2024 – Present

  • Built a RAG support assistant with LangChain, pgvector and a hosted LLM API that resolves 31% of 18,000 monthly chats without escalation
  • Designed an offline evaluation suite of 1,200 labeled questions with LLM-as-judge and exact-match checks, gating every prompt and model change in CI
  • Cut inference cost per conversation by 46% by routing simple intents to a smaller model and caching embeddings in Redis
  • Added PII redaction and prompt-injection filters that passed the company's SOC 2 Type II review with no findings

Machine Learning Engineer, Quarrystone Analytics (Denver, CO)

Jul 2021 – Mar 2024

  • Trained and deployed document classification models in PyTorch on SageMaker, processing 2M insurance forms a month at 94% accuracy
  • Fine-tuned a BERT-based extractor for invoice fields, replacing a rules engine and reducing manual review by 22 hours a week

Education

  • M.S. Computer Science, University of Colorado Boulder (Aug 2019 – May 2021)

Skills

  • LLM: RAG, prompt engineering, LoRA fine-tuning, function calling, evaluation design
  • Frameworks: PyTorch, Hugging Face Transformers, LangChain, LlamaIndex, vLLM
  • Data: PostgreSQL with pgvector, Pinecone, Redis, Spark, Airflow

How to write a Generative AI Engineer resume

A strong Generative AI Engineer resume shows the systems you built, the scale they run at, and the measurable effect on speed, reliability or cost. Put your most relevant recent role first and make every bullet show a result, not a duty.

Sections, in order

  1. Summary
  2. Experience
  3. Projects
  4. Skills
  5. Education

Length: One page for most candidates; move to two only if every line is relevant.

Summary: Write two or three lines: your role, your strongest skills, and one result that proves them.

Skills to feature

Example bullet points

Tips from recruiters

Recommended templates

Generative AI Engineer resume FAQ

What should a Generative AI Engineer resume include?

A Generative AI Engineer resume should show the systems you built, the scale they run at, and the measurable effect on speed, reliability or cost. Use these sections in this order: Summary, Experience, Projects, Skills and Education. Put your most relevant recent role first and make every bullet show a result, not a duty.

What is the best resume template for a Generative AI Engineer?

Classic, Tech and Modern work well for Generative AI Engineer roles. They are single-column with standard headings, so applicant tracking systems (ATS) parse them reliably.

How long should a Generative AI Engineer resume be?

One page for most candidates; move to two only if every line is relevant.

Which skills should a Generative AI Engineer put on a resume?

Prioritize the skills named in the job posting. Common ones for Generative AI Engineer roles are Programming languages, System design, Cloud platforms (AWS, GCP, Azure), CI/CD, Testing and code review and Databases and SQL.

How do I write strong Generative AI Engineer resume bullet points?

Start with an action verb, say what you did, and end with a measurable result such as latency, uptime and deploy frequency. For example: "Rebuilt the checkout service in Go, cutting p95 latency from 900 ms to 180 ms for 2M monthly users."

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