Futurice Oy logo
Monthly
€5,680 - €8,520
Posted February 27, 2026 · 167 days agoLast seen August 13, 2026Est. expiry April 3, 2026

AI Engineer

Senior AI Engineer
London, United Kingdom
Remote · Software Engineering
Full-time · Senior
English
No People Management
5 years experience
How this salary compares
Salary Context: AI Engineer

Hover or tap a row for full statistics (EUR / month on this chart).

Salary analysis

Compared with the selected benchmark ("All roles in London, United Kingdom"), this listing's salary midpoint is about 36% lower. The offer still falls within the benchmark range (€3,789–€15,737). The listed pay band (€5,000–€7,500) is tighter than the benchmark, which suggests lower salary variability. This benchmark is based on 9 comparable listings.

Monthly salary comparison for AI Engineer
MarketLower bound (25th percentile)MedianUpper bound (75th percentile)
Market Average: AI Engineer€10,128/per month€12,298/per month€14,468/per month
All roles in London, United Kingdom€3,789/per month€7,003/per month€15,737/per month
From job ad (Senior)€5,000/per month€6,250/per month€7,500/per month
About the role

Join us! We’re always happy to hear from people who are eager to learn and grow, and share our values. Read more about the role and apply. About the role As a Senior AI Engineer at Futurice, you'll be part of our growing AI & Data team, designing and building the intelligent applications and workflows that sit at the heart of our client work. You'll be shaping solutions, advising clients, and helping define how Futurice builds and delivers AI at scale. You'll work across the full lifecycle: from early-stage ideation and proposals through to building and deploying production-quality, cloud-native GenAI applications for clients across industries like media, retail, and automotive. You'll also mentor junior engineers and make meaningful contributions to our internal AI practices. Skills & Requirements What we're looking for: - 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 is what matters most. - Proficiency in Python – You write clean, maintainable, production-quality code. You have experience taking systems from idea to production and keeping them running. - Modern GenAI tooling – You have hands-on experience with libraries and tools like Pinecone, HuggingFace, LangChain/LangSmith, or CrewAI, and you know how to pick the right tool for the job. - Understanding of agentic architectures – You're comfortable designing systems involving tool use, orchestration, evaluation, and multi-agent patterns, and you understand the trade-offs involved. - Experience with RAG systems – You have a solid understanding of retrieval-augmented generation systems and pipelines, and you've built them in real-world contexts. - Cloud platform experience – You're experienced with at least one of Azure, AWS, or GCP, and comfortable deploying and maintaining systems in production. - Interest in client-facing work – You enjoy the full picture. You're as happy in a client workshop or contributing to a proposal as you are building. You can explain complex ideas clearly and build trust with clients. - Curiosity over ego – You approach disagreement with empathy, learn from feedback, and care more about getting things right than being right. You don't need experience in everything in the world of GenAI, we know it moves fast. We're looking for people who are strong in a few areas and take the initiative to grow in others. What you'll do In this role, you will: - Design and build cutting-edge AI applications – from MCP servers and voice-to-voice real-time apps to RAG bots and multi-agent systems. - Advise clients on AI strategy – join workshops, contribute to proposals, and help clients understand what's possible and what's right for them. - Build demos and PoCs – fast, purposeful, and client-ready. - Mentor junior engineers – share knowledge, review code thoughtfully, and help grow the team around you. - Shape our AI practice – contribute to shared tools, frameworks, and ways of working. Next steps - who you’ll meet and for what 1. Talent screening call (30m) 2. Skills-based interview (45m) 3. Coding Task (1 hour) 4. Values interview (45m) What Futurice Offers You We use a transparent salary model based on your skills, responsibilities, and impact. The salary band for this role is £60,000 – £90,000 depending on experience. - A supportive, values-driven team culture where individuality is celebrated. - A personal learning budget (£1,200/year), mentoring, and knowledge-sharing sessions. - Flexible, remote-first working with colleagues across the UK and EU. - Private health insurance (WPA), pension contributions (6%+), and wellbeing support (£50/month via Juno). - 25 days holiday + bank holidays + your birthday off — increasing by 1 day per year after 3 years’ service (capped at 30). - A tiered parental leave policy (16 weeks maternity, 4 weeks partner, full pay depending on tenure). - EV salary sacrifice scheme (depending on tenure). - A clear career framework with review cycles every 6 months and a genuine path to a permanent role. What's it like to work here Ever since Futurice was founded, we’ve focused on creating a workplace people genuinely enjoy, Mondays included. We’ve built a welcoming culture where trust, kindness, and well-being matter as much as great work. Our atmosphere is open and warm, whether you’re in the office or working remotely. Please note: Unfortunately we won’t be able to offer visa sponsorship for this role.

Job Details

Responsibilities

  • Design and build cutting-edge AI applications (MCP servers, voice-to-voice apps, RAG bots, multi-agent systems)
  • Advise clients on AI strategy through workshops and proposals
  • Build fast, purposeful demos and PoCs
  • Mentor junior engineers through knowledge sharing and code reviews
  • Contribute to shared AI tools, frameworks, and internal ways of working

Requirements

  • 5+ years of experience in AI or applied data-intensive software engineering
  • Proficiency in Python for production-quality code
  • Experience with GenAI tools such as Pinecone, HuggingFace, LangChain/LangSmith, or CrewAI
  • Understanding of agentic architectures (tool use, orchestration, evaluation, multi-agent patterns)
  • Experience building RAG systems in real-world contexts
  • Experience with Azure, AWS, or GCP cloud platforms
  • Ability to explain complex ideas and build trust with clients
  • Empathy and openness to feedback

Skills & Technologies

PythonPineconeHuggingFaceLangChainLangSmithCrewAIRAGAzureAWSGCPAgentic Architectures

Recruitment Process

  1. 1
    Talent screening call (30m)
  2. 2
    Skills-based interview (45m)
  3. 3
    Coding Task (1 hour)
  4. 4
    Values interview (45m)
Seen 19 hours agoPartial Schema
Financial overview
€55.4M
Revenue
-€1.2M
Profit
-2.0%
Profit margin
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FuturiceOy · 87 open roles
Top locations: Helsinki, Finland · 45 · Tampere, Finland · 40 · Remote - Global · 2
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