Role hiring

Hire AI, GenAI & ML Engineers

Machine learning, LLM, RAG and agent engineers. We screen on what a candidate has built and shipped, not on certificates or keywords.

What the role is

AI engineering covers several different jobs that résumés blur together. ML engineers train and evaluate models. GenAI and LLM engineers build applications on top of foundation models: prompting, retrieval, tool use and evaluation. Applied scientists and data scientists focus more on analysis and research.

We help you decide which of these you actually need before we search, because a wrong brief is the main reason AI hires fail.

  • Machine Learning Engineer
  • GenAI Engineer
  • LLM Engineer
  • AI Engineer
  • Applied Scientist
  • NLP Engineer

How we screen

What we check before a profile reaches you.

  • Shipped work, not coursework

    We ask what reached production, who used it, and what broke.

  • Evaluation discipline

    How the candidate measures quality for models and LLM outputs, including test sets and failure analysis.

  • Retrieval and agents

    RAG design, chunking, vector stores, tool calling and guardrails, for GenAI roles.

  • Engineering fundamentals

    Code quality, testing and deployment. A model that cannot be deployed is not a hire.

How we get you from role to hire

Four steps, one accountable team, and a guarantee after the offer.

  1. Intake

    We map the role, tech stack, seniority, budget and must-haves with your hiring manager.

  2. AI screen, expert interview

    AI screening filters the pool in seconds. Experienced recruiters and technical leads interview whoever passes.

  3. Shortlist

    3 to 5 interview-ready profiles, typically within 48 hours for core tech stacks.

  4. Offer and guarantee

    We coordinate interviews, offer and joining. Permanent hires carry a 90-day replacement guarantee.

Common questions

What is the difference between an ML engineer and a GenAI engineer?
ML engineers typically train, tune and evaluate models. GenAI engineers build products on top of existing foundation models using prompts, retrieval and tools. Many roles need some of both, and we help you scope it.
Do you hire for research roles?
Our focus is applied engineering. For research-heavy positions we will tell you honestly whether we are the right partner.
How do you vet AI candidates?
AI-assisted screening for evidence of real project work, followed by technical interviews run by people who have built similar systems. We share the notes with you.

Other roles we hire

Hiring AI, GenAI & ML Engineers?

Tell us the role and the stack. We will send a shortlist plan within 48 hours.