AI Engineer

Location: London, United Kingdom; hybrid

Salary: £80,000–£85,000 per year

Company

hirify.global provides specialist market data, research, forecasts, and industry insight to the consulting industry.

What you will do

• Design, build, prototype, and operate AI-powered applications and workflows for research, structured data, conversational interfaces, and automation.
• Build search and retrieval over research content with traceable answers and permission-controlled access.
• Integrate AI applications with growth figures, forecasts, client perceptions, and market models to support quantitative analysis.
• Evaluate AI quality, factual grounding, reliability, usage, and cost, including human review where appropriate.
• Implement safeguards, responsible-AI practices, privacy controls, and transparency about system limitations.
• Collaborate with Product, Engineering, Data, Research, and Platform teams to deliver and support user-facing capabilities.

Requirements

• Around three or more years of experience in software engineering, AI/ML engineering, or a closely related role, including delivery and maintenance of software used by real users.
• Hands-on experience building LLM applications in production or substantial prototypes, including prompt design, model/API integration, structured outputs, or tool-calling.
• Strong Python skills and experience designing and integrating REST APIs.
• Experience with structured or quantitative data and validating numerical outputs from AI systems.
• Experience measuring LLM or retrieval quality through test question sets, factual-grounding checks, or similar evaluation methods.
• Understanding of prompt injection, data leakage, unsafe tool use, retrieved-content access control, and practical mitigations.
• Experience testing, debugging, and operating production software with attention to reliability, security, performance, and cost.
• Clear communication skills and ability to work with technical and non-technical colleagues, explain system limitations, and deliver iteratively.

Nice to have

• Experience with managed AI and search services such as Amazon Bedrock or OpenSearch, and with complex PDFs or research documents including tables.
• Experience with LLM tracing, monitoring, observability, automated evaluation, and regression testing.
• Experience with agent frameworks or multi-step orchestration, including judgement about when not to use them.
• Experience with governance, privacy, or regulatory approval processes such as GDPR.
• Practical SQL skills and experience reasoning about query correctness and validating analytical results.

Culture & Benefits

• Permanent, full-time hybrid position within the Technology & Data department.
• Work closely with the Director of Technology, Product Owner, software engineers, data analysts, and research teams.
• Contribute to code reviews, knowledge sharing, user adoption, and AI engineering practices.
• Support equality, diversity, and inclusion and a workplace free from unlawful discrimination.