AI Engineer London

About Intent HQ

Recognised by the Financial Times as one of the FT1000 Fast Growing Companies in Europe (2022–2024), and winners of both Analytics Company of the Year 2025 and AI Company of the Year 2024 at the British Data Awards, Intent HQ is a leader and innovator in Customer AI Analytics and Data Science. Backed by strong investors and trusted by a blue‑chip international enterprise customer base, our mission is to become the world’s preeminent Customer Intent Engine by combining privacy‑first signal intelligence, proprietary behavioural AI/ML analytics, and uniquely accessible enterprise insights into a single platform that enables organisations to build more genuine, sustainable, and profitable relationships with customers.

We began by solving complex challenges for clients in the telecommunications sector, including Verizon, O2, and Orange, and have since expanded into Financial Services, Retail, and Social Media, with clients such as HB Reavis and Zurich Group. Our clients typically manage tens of millions of customers and process billions of interactions daily. Our platform is purpose‑built to handle data at this enormous scale efficiently, delivering tangible results—one client achieved £26m in incremental revenue through our solutions.

What sets us apart is our focus on deep customer interaction data, doing the hard, specialised work so our clients can focus on applying insight to their business strategies.

Today, Intent HQ is home to an exciting, diverse, and fast‑growing team of 100+ people across London, Barcelona, Lisbon, Tel Aviv, New York, South Africa & India collectively speaking over 15 languages.

• AI Business of the Year 2025 - The National AI Awards

• Analytics Company of the Year 2025 – British Data Awards

• AI Company of the Year 2024 – British Data Awards

• FT1000 Europe’s Fastest Growing Companies 2022–2024 – Financial Times & Statista

• Top 100 Edge Computing Company 2024 – STL Partners

• Exciting Work Environment: Work on cutting‑edge technology at the intersection of AI and data analytics.

• Hybrid working: 3 days per week in our London or Barcelona office (or monthly equivalent if you live further afield)

• Growth Opportunities: Advance your career in a fast‑paced, innovative industry.

We're looking for an AI Engineer to help build the next generation of intelligent systems that help our clients understand and leverage their data. As an AI Engineer at Intent HQ, you'll bridge the gap between software engineering and AI—building agentic systems, tools, and workflows that turn cutting‑edge AI capabilities into reliable, production‑ready products.

This is a hands‑on role where you'll work end‑to‑end: from designing and prototyping features to deploying and iterating on them in production. You'll collaborate closely with product managers, designers, and other engineers to ship user‑facing functionality that delivers real value to our clients.

• Solid software engineering fundamentals: You understand the full SDLC, testing practices, and modern frameworks
• Production deployment experience: You can take code from development to production using cloud environments, infrastructure, and CI/CD pipelines
• Familiarity with agentic systems: You've worked with or are excited to learn about chat interfaces, tool use, workflows, evaluations, agent‑to‑agent communication, and protocols like MCP
• Product mindset: You focus on outcomes over outputs, iterate quickly, and always think about delivering value
• Curiosity and adaptability: The AI Engineer role is still evolving, and you're excited to grow with it

• Experience with data pipelines and/or data engineering
• Understanding of how large language models (LLMs) work and how to apply them in practice
• Exposure to our tech stack or similar tools

Don’t meet every requirement? If you meet some but not all of these, we still want to hear from you!

• Build reliable, scalable agentic software systems that solve real client problems
• Develop and maintain data pipelines, CI/CD workflows, and deployment processes
• Work end‑to‑end on features, from…