Lorien
Test Lead - GenAI & LLM Testing

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Senior QA Automation Engineer / SDET - GenAI & LLM Testing
6 Month Contract
Banking Client
Remote / Hybrid (UK)
Competitive Day Rate
We're supporting a leading banking client on a large-scale AI transformation programme and are looking for an experienced Senior QA Automation Engineer / SDET with a strong background in GenAI and LLM testing.
This role will focus on defining and implementing automated testing frameworks for AI-driven products, ensuring the quality, reliability and safety of LLM-powered solutions deployed within a highly regulated banking environment.
Key Responsibilities
- Design and develop scalable automated test frameworks using Python.
- Create test strategies from architecture and solution design documentation.
- Test RESTful APIs and microservice-based applications.
- Define and execute testing approaches for event-driven architectures and Kafka-based systems.
- Validate GenAI and LLM solutions through functional, non-functional and behavioural testing.
- Develop automated prompt testing and evaluation frameworks.
- Verify AI guardrails, safety controls and compliance requirements.
- Implement validation approaches for non-deterministic LLM outputs.
- Build and maintain contract tests using Pact Flow.
- Collaborate closely with Engineering, Architecture, Data Science and Product teams.
- Support CI/CD pipelines and quality engineering best practices.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Required Skills & Experience
Core Automation
- Strong Python 3.x development skills with experience building testing frameworks from the ground up.
- Extensive experience with Pytest.
- Strong API testing experience.
- Experience creating test strategies and quality approaches from architectural diagrams and solution designs.
Cloud & Platform
- Working knowledge of AWS services including:
- Lambda
- Bedrock
- S3
- EKS
Event-Driven Systems
- Experience testing Kafka-based architectures.
- Strong understanding of asynchronous messaging and event-driven systems.


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GenAI / LLM Testing (Essential)
- Proven experience testing LLM and GenAI applications.
- Prompt testing and prompt evaluation.
- Non-deterministic output validation.
- AI guardrail verification and safety testing.
- Hallucination and response quality assessment.
- Experience establishing quality standards for AI solutions.
LLM Evaluation Tooling
- Experience with one or more of:
- DeepEval
- Promptfoo
- RAGAS
- LangSmith
- Similar LLM evaluation frameworks
Contract Testing
- Hands-on experience with Pact Flow.
- Consumer-driven contract testing within distributed systems.
Desirable
- Banking or Financial Services experience.
- Experience working in highly regulated environments.
- Exposure to RAG architectures.
- Knowledge of LLM observability and monitoring.
- Kubernetes experience.
- CI/CD pipeline integration.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
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