Senior AI Engineer

Salary: £60,000 - 100,000 per year

Requirements

• 5+ years of hands-on experience in AI or applied data-intensive software engineering, or equivalent experience.
• A track record of taking projects from idea to production.
• Proficiency in Python and the ability to write clean, maintainable, production-quality code.
• Hands-on experience with modern GenAI tooling such as Pinecone, HuggingFace, LangChain/LangSmith, or CrewAI.
• Understanding of agentic architectures, including tool use, orchestration, evaluation, and multi-agent patterns.
• Experience with retrieval-augmented generation (RAG) systems and pipelines in real-world contexts.
• Experience with at least one cloud platform: Azure, AWS, or GCP.
• Interest in client-facing work, including workshops and proposals.
• Curiosity, openness to feedback, and a collaborative mindset.
• Experience in some areas of GenAI and willingness to keep learning in others.

Responsibilities

• Design and build AI applications, including MCP servers, voice-to-voice real-time apps, RAG bots, and multi-agent systems.
• Advise clients on AI strategy through workshops and proposals.
• Build demos and proofs of concept that are fast, purposeful, and client-ready.
• Mentor junior engineers through knowledge sharing and thoughtful code review.
• Contribute to shared tools, frameworks, and ways of working that shape our AI practice.
• Work across the full lifecycle from early-stage ideation through to production deployment of cloud-native GenAI applications.
• Help define how we build and deliver AI at scale.
• Support client work across industries such as media, retail, and automotive.

Technologies

• AI
• AWS
• Azure
• Cloud
• GCP
• Support
• MCP
• Python
• RAG

More

We are Futurice, and we are growing our AI & Data team to design and build intelligent applications and workflows at the heart of our client work. We offer a transparent salary model, with a band of 60,000–90,000 depending on experience, alongside a supportive, values-driven culture built on care, trust, transparency, and continuous improvement. We provide a personal learning budget of 1,200 per year, mentoring, knowledge-sharing sessions, flexible remote-first working across the UK and EU, private health insurance, pension contributions, wellbeing support, 25 days holiday plus bank holidays and your birthday off, tiered parental leave, an EV salary sacrifice scheme, and a clear career framework with review cycles every six months. We are a welcoming, open, and warm workplace where individuality is celebrated and everyone can help shape how we work and grow together.

last updated 34 week of 2026