Senior AI Engineer (f/m/d) in London

About the AI Platform Team

The AI Platform Team enables Awin teams to build, ship, and operate AI-powered products safely, consistently, and efficiently. We focus on the shared platform and enablement layer for AI development across the company. That includes reusable services, internal APIs and SDKs, platform patterns, observability, evaluation support, guardrails, cost visibility, and practical guidance that helps teams move from experimentation to production with confidence.

This is a team for engineers who enjoy building internal platforms, creating paved roads for others, and raising the engineering quality bar for AI development across the organization.

About the role

We are looking for a Senior AI Platform Engineer — Foundations, Reliability & Architecture to join the AI Platform Team and help define, build, and operate the shared platform capabilities that other teams will use to develop AI-powered products. In this role, you will work on the technical foundations of AI development at Awin: shared services, internal APIs and SDKs, architecture patterns, observability, runtime reliability, and production readiness. You will help shape the platform's golden path and make sure it is scalable, supportable, and easy for other teams to adopt.

This role is best suited to a strong platform engineer with solid AI production judgment. We care more about evidence of technical ownership, architectural thinking, and operational maturity than about a specific number of years working with AI.

What You'll Do

• Design, build, and evolve shared AI platform capabilities used by multiple teams
• Define and improve platform architecture, technical standards, and recommended patterns for AI development
• Build and maintain reusable internal APIs, SDKs, templates, and reference implementations
• Improve the reliability, scalability, and operational maturity of platform-owned services
• Strengthen CI/CD, release engineering, cloud/runtime patterns, and service lifecycle practices for the platform
• Improve platform observability through better tracing, monitoring, debugging, and production feedback loops
• Help define what production-ready AI services should look like from an engineering and operational perspective
• Work closely with product teams to understand repeated needs and turn them into reusable platform capabilities
• Make pragmatic build‑vs‑buy decisions, preferring simple and durable solutions over unnecessary complexity
• Collaborate with Architecture, Security, Product, and engineering teams to ensure the platform is practical, safe, and easy to adopt
• Write clean, secure, well‑tested code and contribute to strong engineering practices across the team
• Mentor other engineers and contribute to technical direction, knowledge sharing, and platform thinking within the team

Requirements

• Strong software engineering fundamentals and experience building production systems
• Strong experience in backend and platform engineering
• Strong system design and architecture skills, especially for shared services or internal platforms
• Practical experience owning systems in production, including deployment, monitoring, support, and incident handling
• Strong understanding of reliability, observability, and operational excellence
• Practical experience with cloud environments and modern release engineering practices
• Experience building or contributing to AI‑ or LLM‑powered systems in production
• Good understanding of LLM integration patterns, model APIs, prompts, and the engineering trade‑offs involved in AI systems
• Good understanding of how to make AI systems observable, testable, and ready for production
• Comfortable working across the full lifecycle of a service, from design and implementation to deployment, support, and improvement
• Good understanding of information security and how to design platform capabilities with security in mind
• Comfortable applying unit testing, continuous integration, and continuous deployment
• Strong communication skills, both synchronous and asynchronous
• Comfortable working through ambiguity and helping shape technical direction where the path is not fully defined
• A platform mindset: able to think beyond one team or one feature and design for reuse, clarity, and long‑term maintainability

Nice to have

• Experience building internal developer platforms or shared engineering tooling
• Experience with AI platform architecture, model access layers, orchestration patterns, or reusable AI infrastructure
• Experience with AI observability tools such as LangSmith or similar tracing or evaluation platforms
• Familiarity with evaluation workflows, regression checks, and quality gates for AI systems
• Experience with cost visibility, usage attribution, or FinOps‑style patterns for AI workloads
• Experience working in environments where multiple teams consume shared services
• Experience improving developer experience through templates, examples, SDKs, or documentation
• Experience introducing standards in a way that improves quality without creating unnecessary process

Tools and technologies you may work with

• Python
• LLM APIs
• CI/CD tooling
• Observability and tracing tools
• Internal APIs, SDKs, and shared platform services

Working style

• We are looking for someone who enjoys building in a space that is evolving quickly, but who stays grounded in pragmatic engineering and long‑term platform value.
• Enjoys solving platform problems that help many teams, not just one product
• Thinks in terms of reusable patterns, clear interfaces, and production ownership
• Communicates clearly and keeps others aligned, both sync and async
• Cares about reliability, observability, maintainability, and operational simplicity
• Is comfortable making architectural trade‑offs and simplifying complexity
• Avoids overengineering and focuses on durable, high‑leverage solutions
• Is proactive about identifying repeated problems and turning them into reusable platform capabilities
• Enjoys mentoring others and helping raise the engineering bar across the team

Our Offer

• Flexi-Week and Work-Life Balance: We prioritise your mental health and wellbeing, offering you a flexible four‑day Flexi‑Week at full pay and with no reduction to your annual holiday allowance. We also offer a variety of different paid special leaves.
• Remote Working Allowance: You will receive a monthly allowance to cover part of your running costs. In addition, we will support you in setting up your remote workspace appropriately.
• Flexi-Office: We offer an international culture and flexibility through our Flexi‑Office and hybrid/remote work possibilities to work across Awin regions.
• Meal Vouchers: You will be supported with a certain net sum to spend it on a variety of lunches.
• Health & Wellbeing: The insurance covers several types of health, vision and/or dental treatments for you and for up to one additional family member.
• Remote Working Furniture Package: After 3 months of employment, you will be eligible for a furniture package, which should enable you to set up a proper workplace at your remote working location.
• Appreciation: Thank and reward colleagues by sending them a voucher through our peer‑to‑peer program.

Established in 2000, Awin is proud of its dynamic, social and inclusive culture. Diversity & Inclusion are paramount to us, and we proudly pursue and hire diverse team members. We champion uniqueness and authenticity; this is who we are at our core. Our network of affiliate partnerships are diverse and transparent, as are the employees powering our vision to build the world’s leading open partner ecosystem. We welcome all backgrounds, identities, and experiences. If you need support at any point in the application or interview process, please let us know.

We are committed to protecting and respecting your privacy. The Privacy Policy explains the basis on which personal information we collect will be processed.