AI Engineer (AI)

Location: Newbury, United Kingdom; hybrid working with office attendance 2–3 days per week and at least 8 days per month.

Salary: Excellent basic salary plus bonus and hirify.global benefits.

Company

hirify.globalThree is building and operating UK connectivity infrastructure while supporting digital growth, communities and businesses across the country.

What you will do

• Build and ship end-to-end AI-powered applications across front end, back end and data.
• Design agentic and multi-agent workflows using tool calling, MCP, memory and orchestration.
• Implement RAG, context and prompt engineering, conversational interfaces and LLM integrations.
• Build APIs and integrations connecting AI models with data platforms and business systems.
• Evaluate AI solutions with curated test sets, regression testing and LLM-as-judge techniques.
• Embed responsible AI, security, safety, governance and data protection controls while supporting CI/CD, releases and production monitoring.

Requirements

• Bachelor’s or MSc degree in Computer Science, Artificial Intelligence, Software Engineering or another relevant STEM discipline related to AI development.
• Experience building and shipping AI-powered applications for real users, or strong personal or open-source projects demonstrating comparable hands-on capability.
• Strong software engineering skills, ideally in Python or a similar programming language, with a focus on clean, secure and maintainable code.
• Understanding of modern LLM application patterns, including prompt and context engineering, RAG, agent frameworks, tool calling and orchestration.
• Understanding of how to evaluate LLM-based systems for quality, reliability and safety, with a thoughtful approach to responsible AI.
• Experience or knowledge across APIs, application architecture, cloud services, containers, CI/CD and system integration.
• Ability to consider latency, cost, security, safety and observability in production while adapting to an evolving technology landscape.
• Proactive and collaborative approach, curiosity about emerging technologies, comfort experimenting with new ideas and ability to turn learning into products at pace.

Culture & Benefits

• Hybrid working combining home working with regular office collaboration.
• Full-time schedule of 37.5 hours per week, Monday to Friday.
• Bonus, competitive pay, up to 28 days off plus bank holidays, pension plan, discounts and vouchers.
• Paid time for charity work, learning tools, parental and adoption leave, and wellbeing services.
• Offers are subject to criminal (DBS) and financial background checks required by the Financial Conduct Authority.
• Reasonable adjustments and accessibility support are available during recruitment.

Hiring process

• Interview performance should reflect the candidate’s own knowledge, skills, experience and achievements; AI-generated preparation should not replace authentic responses.
• Applicants can request reasonable adjustments for online assessments and may indicate participation in the ‘Offer an Interview’ scheme for disabled candidates.