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Role

AI Engineer / LLM Engineer.

Leading the pack

Leading the pack. Focus on building, fine-tuning, and integrating (large language) models into existing software.

Hire a Radical LLM EngineerRead the APAC research

Overview

Placeholder. The AI / LLM Engineer is the person who turns promising model behaviour into a dependable product feature. They live at the intersection of applied research and production engineering, and they are comfortable moving between a notebook, a service, and a code review.

Placeholder. At Radical, every LLM Engineer has cleared the APAC assessment before they reach a shortlist. That means you are hiring not only for the prompt, the eval, and the vector store, but also for the judgement needed to know when a model is good enough to ship and when it is not.

Placeholder. Final founder copy to be imported here. This paragraph will describe typical company contexts in which a Radical LLM Engineer performs best, the kinds of problems they are most excited by, and the signals we look for during selection.

01·What this role does

What this role does

  1. 01
    Designs and ships LLM-powered features end to end, from prototype to production
  2. 02
    Implements retrieval, grounding, and evaluation pipelines around foundation models
  3. 03
    Fine-tunes, distils, or adapts models when the cost or quality case is there
  4. 04
    Writes robust evals so regressions are caught before customers feel them
  5. 05
    Partners with product, data, and platform engineers on latency, cost, and safety
02·Skills & experience

Skills and experience we look for

Strong Python and typed JavaScript / TypeScript on the service side
Hands-on with at least one major model provider SDK (OpenAI, Anthropic, Google, open weights)
Experience with RAG, vector search, and long-context strategies
Comfort with eval frameworks and systematic prompt iteration
A working mental model of cost, latency, and failure modes in production
03·How you engage

Typical engagement types

04·Why Radical
The APAC difference
Every Radical clears the APAC assessment before the shortlist.

APAC is our framework for evaluating the human qualities that make great AI professionals: Adaptability, Personality, Awareness, Connection. You are hiring for judgement, not only for a CV. Read the full method and findings in our research paper.

The best AI professionals do not sit on Toptal or LinkedIn Open To Work. They are already building. We know them, and we know how to reach them, because we have spent years inside this community.

Get in touch
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