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 Responsibilities

Build and deploy scalable AI tools using Python and LLM APIs Design end-to-end agentic and RAG-based solutions for enterprise use Own delivery from proof-of-concept through to production Work with cloud- architectures (e.g. AWS Lambda, Step Functions) Lead and guide junior engineers within project teams

Key Details

Salary: £100,000–£130,000 + benefits Working model: Hybrid (3 days/week in London office) Tech stack: Python, LLMs (OpenAI/Claude), Docker, CI/CD, microservices, AWS

If 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. Budget

Salary range: £100k–£130k base Benefits: Standard package Sponsorship: Yes Hybrid: 3 days/week (London HQ)

Note: this role cannot sponsor Interested? Please apply below. #J-18808-Ljbffr