You'll join our AI Platform Engineering team, which builds and runs the infrastructure connecting CreateFuture's engineers and client workloads to multiple LLM providers — from the inference control plane (the API gateway and routing layer for Anthropic, AWS Bedrock, OpenAI, and others) through to the orchestration and lifecycle tooling that turns individual AI integrations into a reusable 'capability marketplace', and the trust, safety, and governance controls that keep it all auditable as it scales.
AI platform engineer
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описание
задачи
- Build, run, and evolve the API gateway and routing layer connecting engineers and client workloads to multiple LLM providers (Anthropic, AWS Bedrock, OpenAI), including the failover and routing strategies you may need to defend in an incident.
- Design and build orchestration and lifecycle management for AI capabilities and agents, including the tooling that lets teams register, discover, and reuse capabilities rather than rebuilding them.
- Implement and maintain RBAC/OIDC access controls and disciplined API key lifecycle management across the platform.
- Build caching layers and cost/latency optimisation strategies, and the adoption and reuse analytics that show whether the platform is actually being used.
- Contribute to API design, versioning, and promotion workflows as capabilities move from experimental to production — with more senior engineers setting these standards and more junior engineers learning and applying them.
- Bring a trust, safety, and governance lens to the platform, helping ensure the agents and capabilities running on it are well-governed, auditable, and safe to scale.
требования
- Are proficient in Python or Go, with production experience appropriate to your level — from hands-on delivery (Mid) through to setting technical direction (Principal).
- Have production experience running API gateways (Kong preferred; Envoy or Apigee accepted), or are keen to build this experience.
- Have integrated with, or are curious about, multiple LLM providers (Anthropic, AWS Bedrock, OpenAI), including failover and routing strategies you've had to defend under pressure.
- Understand, or want to build expertise in, RBAC/OIDC and disciplined API key lifecycle management.
- Будет плюсом: Are familiar with, or interested in, MCP or comparable service-registry patterns — a strong signal at any level
условия
- 35 days leave (including bank holidays).
- Private medical insurance.
- Enhanced parental and adoption leave.
- Financial coaching + 5% pension match.
- 40 hours of paid learning and development.
- We trust people to do their best work. That means flexibility over rigid rules, impact over activity, and real investment in your growth both professionally and personally.
- You'll be part of a supportive, and friendly culture, surrounded by smart, curious people who care deeply about what they do.
- We offer flexible working, including hybrid and remote options. Our office hubs are located in Edinburgh, Leeds, Manchester, London and Bulgaria, with occasional travel to client sites or CreateFuture offices when needed.
- We trust you to manage your time balancing collaboration with client time and focused work. What matters is the impact you have, not how busy you look.
навыки
Если просят выйти из iCloud, прислать код из SMS, запустить или установить что-то, перевести деньги — не соглашайся: это мошенничество.