AI Software Developer in London

We are a forward-thinking services company at the forefront of AI-native innovation. Our engineers embed deeply with customers, moving projects beyond experimentation into operational reality.

An AI Native Engineer with a strong foundation in building cloud-native solutions and hands-on experience designing and deploying agentic systems, especially for enterprise environments. You’re a critical thinker who thrives in ambiguity, delivering concrete results by designing, building, and running AI agents that augment workflows and scale across modern infrastructure.

You'll shape how enterprises adopt AI-native engineering - either by leading complex agentic solutions and developing engineering talent, or by owning critical technical areas E2E as a senior IC. Often, these will be net-new platforms and systems that need to be stitched together in our clients’ environments alongside our ecosystem partners.

• Design and build enterprise-ready AI agents incorporating retrieval, orchestration, policy-based routing, tool invocation, evaluation harnesses, and lifecycle observability.
• Develop and/or extend abstraction layers across AI providers (Anthropic, Google, OpenAI, etc.).
• Leverage containerization (Kubernetes, Docker), microservices, serverless, event-driven architectures, CI/CD, and observability stacks to deliver scalable AI-native systems.
• Own deployment, monitoring, and troubleshooting for your services in production.
• Participate in and/or lead design workshops, POCs, and code-with sessions to shape data-driven agent workflows with stakeholders, fostering trust and adoption.
• Communicate trade-offs, risks, and recommendations clearly to both technical and non-technical audiences.
• Iterate rapidly based on data, feedback, and changing requirements.
• Craft reusable patterns, documentation, and best practices that influence internal assets and client roadmaps.
• Contribute to internal communities of practice around AI-native and agentic engineering.

Travel may be required for this role. The amount of travel will vary from 25% to 75% depending on business need and client requirements.

Engineering experience with cloud-native systems (APIs, microservices, containerization, serverless). Hands-on experience designing and deploying agentic solutions (agents, orchestration, context engineering, RAG, workflows) in production or near-production environments. Experience with modern AI platforms — OpenAI, Claude, Vertex AI, or open-source models — including building or using abstraction layers for multi-provider pipelines. Strong Python, Java or equivalent experience building 12 factor applications + Infrastructure as Code (Terraform, Helm).

Bachelor's degree in Computer Science, Engineering or equivalent OR equivalent (minimum 12 years) work experience. (If Associate’s Degree, must have minimum 6 years work experience).

Bonus Points If You Have:

• Relevant AI certifications or agentic tooling experience are a plus.
• You’ve served as an Agentic / AI Engineer in an enterprise environment.
• You’ve built multi-agent orchestrations using (Lang-graph, Crew AI, Claude SDK, Open AI SDK, etc).
• You have additional AI certifications or experience with agentic tooling and frameworks.
• You’ve defined or worked with enterprise-grade architectures for compound AI systems, orchestration frameworks, or agent registry / stream-based architectures.
• You understand the AI-native paradigm — blending cloud-native with generative model architectures — optimizing for performance, modularity, and efficiency.
• Driven execution across multiple workstreams, ensuring quality, delivery, and alignment with client outcomes.