Are you an AI engineer with strong software engineering fundamentals?Have you deployed AI models into production—not just trained them?Want to work on agentic systems, RAG pipelines, and LLM-powered tools?We're working with a high-growth GenAI consultancy building real-world, production-grade AI applications. With a team of 50+, the company partners with global clients across finance, energy, media, and tech. From hedge funds to energy and health-tech, their projects are diverse and technically challenging. With strong client demand and deep partnerships (including OpenAI), the team is scaling fast across the UK, Singapore, and Australia.As a Senior Applied AI Engineer, you’ll take ownership of designing and deploying AI-powered applications that solve real client problems. You’ll work across full-stack delivery, from architecture to production deployment, collaborating with cross-functional teams and mentoring other engineers.Key ResponsibilitiesBuild and deploy scalable AI tools using Python and LLM APIsDesign end-to-end agentic and RAG-based solutions for enterprise useOwn delivery from proof-of-concept through to productionWork with cloud-native architectures (e.g. AWS Lambda, Step Functions)Lead and guide junior engineers within project teamsKey DetailsSalary: £100,000–£130,000 + benefitsWorking model: Hybrid (3 days/week in London office)Tech stack: Python, LLMs (OpenAI/Claude), Docker, CI/CD, microservices, AWSIf you're a strong backend or platform engineer passionate about GenAI and excited to ship high-impact tools, this is the opportunity to step into it.BudgetSalary range: £100k–£130k baseBenefits: Standard packageSponsorship: YesHybrid: 3 days/week (London HQ)Note: this role cannot sponsorInterested? Please apply below.