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Career coaching · London

AI QA & LLM Evaluation Engineer — A New Career in Testing AI

Every company shipping AI needs people who can prove it works. Testing AI apps and agents is a fast-growing specialism — a natural next step for QA.

Common problems

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A strong QA background, but unsure how testing non-deterministic AI differs from testing classic software

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Confusing job titles: AI QA Engineer, LLM Evaluation Engineer, AI Test Engineer, Model Evaluation

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No portfolio showing AI testing — only traditional test automation

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Not knowing which evaluation tools and methods employers actually expect

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Domain expertise (finance, legal, customer support) that is valuable for human evaluation — but no idea how to position it

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Worrying that AI will replace testers, rather than seeing the new work it creates

What recruiters check

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Automated tests for AI: evaluation suites in CI with code-based checks and thresholds that fail the build

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Evaluation datasets built from real user tasks, each with a clear definition of done

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LLM-as-judge — and calibrating it against human review

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Human-in-the-loop: rubrics, annotation workflows, inter-annotator agreement, human approval for risky agent actions

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Agent testing: task success, trajectory and tool-call evaluation (including MCP), cost and latency

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Agent skills evaluation: does the agent trigger the right skill, with-skill vs without-skill comparisons, consistency across runs

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Safety: prompt injection, data leakage, red-teaming (OWASP Top 10 for LLM Applications)

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Python, plus tools such as DeepEval, Ragas, Promptfoo, LangSmith or LangFuse

How to move into AI testing

A practical path from QA or from your own domain:

  • →Learn how LLMs and agents fail: hallucinations, wrong tool calls, loops, prompt injection
  • →Build one portfolio project: an evaluation suite for an open-source agent or RAG app — dataset, automated checks, an LLM judge calibrated against your own labels, all running in CI
  • →Add agent skills evaluation and human-in-the-loop review — it shows you know where automation stops
  • →Rewrite your CV around outcomes: what you measured, what you caught, what improved
Read the full guide: how to evaluate AI agents →

UK salaries

Junior

£45–60k (moving from QA automation)

Middle

£60–85k

Senior

£85–120k+ (lead / evaluation engineer)

Indicative — a new role with few UK benchmarks. The UK Automation QA median is £60k (IT Jobs Watch, Oct 2026); senior evaluation roles track LLM engineer pay, higher in London

Where to look for jobs

Job boards

  • · LinkedIn
  • · Otta
  • · Indeed
  • · AI company career pages

Agencies

  • · Harnham
  • · Harvey Nash
  • · Hays

Recommended sessions

Extended ConsultationAI in Your RoleFull CV RebuildInterview Preparation

I built the evaluation framework and testing strategy for GenAI and agentic AI products that became my company’s standard, and I hire for AI roles — and I coach QA engineers and other professionals moving into AI testing and evaluation. Sessions in English or Russian.

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