Forward Deployed AI Engineer
LB467
Posted: 16/06/2026
- £60,000 - £80,000
- United Kingdom
Forward Deployed AI Engineer
We're partnering with a high-growth AI infrastructure company helping enterprises deploy, operationalise, and scale AI systems in production.
They're looking for a Forward Deployed AI Engineer to work at the intersection of customers, product, and engineering - building AI-powered solutions that solve real-world business problems. This is a highly technical, customer-facing role where you'll own deployments end-to-end, from discovery and solution design through implementation and production rollout.
What You'll Do
- Partner directly with customers to understand business objectives, workflows, and technical challenges.
- Design, build, and deploy AI-powered applications tailored to customer needs.
- Develop production-grade software across backend services, APIs, integrations, and data systems.
- Build and optimise AI workflows, agentic systems, and LLM-powered applications.
- Integrate AI capabilities into existing customer infrastructure and business processes.
- Work across cloud infrastructure, data pipelines, model serving, and application layers.
- Translate ambiguous customer requirements into scalable, robust technical solutions.
- Collaborate closely with product, engineering, and customer success teams to drive successful deployments.
- Leverage AI-native development tools and automation to accelerate delivery and iteration.
- Shape product direction through customer feedback, implementation learnings, and field insights.
What We're Looking For
- 1-3 years of software engineering experience, or equivalent startup, founder, or project experience.
- Strong engineering fundamentals with experience building and shipping production software.
- Hands-on experience with modern AI technologies, including LLMs, agents, RAG systems, or AI application development.
- Ability to quickly understand complex business problems and develop practical technical solutions.
- Strong customer-facing communication skills and a passion for working directly with end users.
- High ownership mentality with the ability to operate effectively in fast-moving, ambiguous environments.
- Experience working across multiple parts of the stack, from infrastructure and backend systems to AI applications.
- Curious about AI infrastructure, model deployment, and emerging AI technologies.
- Experience incorporating AI-assisted development tools into your workflow.
Why Join?
- Build and deploy AI solutions that create immediate impact for customers.
- Work across the full AI stack—from infrastructure and data to applications and deployment.
- Gain exposure to complex enterprise environments and cutting-edge AI systems.
- Take ownership of customer engagements and technical delivery from day one.
- Learn from experienced operators, engineers, and AI practitioners.
- Help define how organisations adopt, deploy, and scale AI in production.
Anna Heneghan
Head of Machine Learning & AI Recruitment