Senior AI Engineer

🕒 vor 1 Monat

🇬🇧 Vereinigtes Königreich – Remote

💵 £60.000 - £90.000 / Jahr

⏰ Vollzeit

🟠 Senior

🤖 KI-Ingenieur

🇬🇧 UK-Skilled-Worker-Visum-Sponsor

Dieses Unternehmen hat in der Vergangenheit UK-Skilled-Worker-Visa gesponsert.

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Futurice

WebsiteLinkedInAlle Stellen

501 - 1000 Mitarbeiter

Gegründet 2000

💼 Beratung

🏥 Gesundheitswesen

🏭 Fertigung

💰 Series unknown im 2020-01

Consulting • Healthcare • Manufacturing

Futurice ist eine multidisziplinäre digitale Unternehmensberatung, die mit Organisationen zusammenarbeitet, um messbare digitale Transformationen voranzutreiben. Sie kombinieren Strategie, Design, Software-Engineering, Daten und KI, Plattformmodernisierung und Managed Services, um digitale Produkte, KI-gesteuerte Workflows und resiliente Betriebsmodelle für Unternehmenskunden zu entwickeln. Futurice legt besonderen Wert auf agile Arbeitsweisen, interdisziplinäre Teams und langfristige Wertschöpfung in Branchen wie Automobil, Finanzen, Medien und öffentlicher Sektor.

Beschreibung

• 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 without over-engineering. • 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.

🎯 Anforderungen

• 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. • Experience with modern GenAI tooling such as Pinecone, HuggingFace, LangChain/LangSmith, or CrewAI. • Understanding of agentic architectures – You're comfortable designing systems involving tool use, orchestration, evaluation, and multi-agent patterns. • Experience with RAG systems – Have a solid understanding of retrieval-augmented generation systems and pipelines. • Cloud platform experience – You're experienced with at least one of Azure, AWS, or GCP. • Interest in client-facing work – You enjoy the full picture, contributing to proposals, and explaining complex ideas clearly. • Curiosity over ego – You approach disagreement with empathy and care more about getting things right than being right.

🏖️ Vorteile

• 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.