AI QA Engineer

AI Engineer- London or Manchester office.

We are seeking a Full Stack Software Engineer with strong AI/ML expertise to design, build, and scale LLM‑enabled applications, including QA Agentic Frameworks and AI‑driven SDLC platforms. The role emphasizes building and validating production‑grade AI systems, ensuring the quality, reliability, robustness, and trustworthiness of LLM‑powered applications, agentic workflows, and ML pipelines.

What We Offer:

• Opportunity to work on enterprise‑scale AI systems, including LLM‑driven and agentic workflows
• Ownership of AI‑specific quality strategy, tooling, and automation
• Close collaboration with Software Engineers, Product Owners, and AI Platform teams
• Exposure to agentic and AI‑driven testing frameworks
• A mandate to shape how AI quality is measured, validated, and governed across teams

We’ll Count on You To:

 Full‑Stack Application Development

• Design, build, and maintain end‑to‑end applications—from front‑end UI to back‑end services.
• Implement scalable APIs, microservices, and integrations supporting AI‑enabled workflows.
• Drive architectural decisions and contribute to technical design reviews.
• Build secure, intuitive user experiences that integrate smart, context‑aware AI components.

 AI/ML & LLM Integration

• Embed Large Language Models (LLMs) into applications, services, and workflows.
• Implement and optimize agentic workflows, including planners, evaluators, and autonomous task agents.
• Develop LLM‑powered features such as content generation, semantic search, test‑case generation, and intelligent orchestration.
• Contribute to prompt engineering, output validation, RAG pipelines, and model behavior evaluation.

Production‑Grade AI Systems Engineering

• Build reliable and observable AI systems with telemetry, monitoring, and fail‑safes.
• Ensure robustness through structured validation, guardrails, and human‑in‑the‑loop controls.
• Collaborate with QA and platform teams to ensure compliance, governance, and safe deployment of AI components.

Quality, Testing, and SDLC Automation

• Integrate automated tests (unit, integration, regression, AI‑behavior checks) into CI/CD workflows.
• Validate LLM responses, model performance, and agent reliability across changing datasets and prompts.
• Partner with QA to enhance AI‑driven SDLC capabilities, including automated acceptance tests and intelligent issue detection.

 Collaboration & Cross‑Functional Partnership

• Partner closely with Product, Design, Data Engineering, and AI/ML teams.
• Help shape best practices for AI‑enabled software development and contribute to internal engineering standards.
• Provide guidance on feasibility, technical tradeoffs, and implementation strategy.

What You Need to Have:

• Bachelor’s degree in computer science, Software Engineering, Data Science, Artificial Intelligence, Machine Learning, or a related technical discipline
  OR equivalent practical experience in Quality Engineering for data‑driven or AI‑based systems
• 4+ years of experience in software engineering (full‑stack or backend‑focused).

• strong proficiency in modern full‑stack development, using frameworks such as: Frontend: React, Vue, or similar, Backend: Node.js, Python, Java, or equivalent
• Experience building containerized, cloud‑native applications (AWS or Azure).

• Hands‑on experience integrating LLMs, generative AI APIs, or agent‑based systems.
• Experience with agentic testing frameworks or autonomous test agents

• Hands‑on experience testing LLM‑based systems (chatbots, RAG, summarization, classification)
• Familiarity with AI governance, model risk management, or regulated environments
• Experience validating data pipelines and large‑scale datasets

Why Fitch?

At Fitch Group, the combined power of our global perspectives is what differentiates us. Our global network of colleagues comes together to accomplish things greater than they ever could alone.

Every team member is essential to our business and each perspective is critical to our success. We embrace a diverse culture that encourages a free exchange of ideas, guaranteeing your voice will be heard and your work will have an impact, regardless of seniority.

We are building incredible things at Fitch, and we invite you to join us on our journey.

Fitch Group is a global leader in financial information services with operations in more than 30 countries. Wholly owned by the Hearst Corporation, we are comprised of three main businesses: Fitch Ratings | Fitch Solutions | Fitch Learning.

For more information please visit our websites:  

www.fitchratings.com | www.fitchsolutions.com | www.fitchlearning.com

Fitch is committed to providing global securities markets with objective, timely, independent and forward-looking credit opinions. To protect Fitch’s credibility and reputation, our employees must take every precaution to avoid conflicts of interests or any appearance of a conflict of interest. Should you be successful in the recruitment process at Fitch Ratings you will be asked to declare any securities holdings and other potential conflicts prior to commencing employment. If you, or your immediate family, have any holdings that may conflict with your work responsibilities, you may be asked to divest yourself of them before beginning work.

Fitch Group is proud to be an Equal Opportunity and Affirmative Action Employer. We evaluate qualified applicants without regard to race, color, national origin, religion, sex, sexual orientation, gender identity, disability, protected veteran status, and other statuses protected by law.

FOR NEW YORK ROLES ONLY: Expected base pay rates for the role will be between XX and XX per year. Actual salaries will be determined on an individualized basis and may vary based on factors including but not limited to education, training, experience, past performance, and other job-related factors.  Base pay is one part of Fitch’s total compensation package, which, depending on the position, may also include commission earnings, discretionary bonuses, long-term incentives, and other benefits sponsored by Fitch. 

Section 3: Appendix – “About Company” Boilerplates

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