Senior AI Platform Engineer
About the role
Platned, a rapidly growing enterprise services company headquartered in the UK, is seeking a Senior AI Platform Engineer to join their product team. The role involves designing and building core services that enable AI agents to operate reliably, securely, and at scale within enterprise environments. Key responsibilities include developing production services for AI agents, building secure integrations with business systems, implementing identity and security features, setting up monitoring and testing, and mentoring team members. The ideal candidate will have significant experience in backend or distributed systems engineering, hands-on work with AI agent frameworks, and strong Python skills. The position offers the opportunity to own a core part of the product in a high-growth, global company, with a competitive package and dedicated career development resources.
Must have
- 5 or more years in backend, platform or distributed systems engineering.
- At least 1.5 years building and running AI agent or LLM-based systems in production.
- Strong Python skills.
- Hands-on experience with at least one AI agent framework or SDK.
- Experience building guardrails, approval steps and safe controls for agents that act on business data.
- Experience with cloud platforms, containers and event-driven architecture.
- Solid understanding of API design, authentication and secure system design.
- Hands-on use of AI coding tools such as Claude Code, Cursor or GitHub Copilot in daily engineering work.
- Good judgement on where AI adds value and where a simpler approach works better.
- Ability to explain technical trade-offs clearly to product and business teams.
Nice to have
- Experience with agent interoperability standards and tool protocols.
- Experience with durable workflow engines.
- Integration experience with ERP, CRM or field service systems.
- Experience building multi-tenant SaaS platforms.
- Familiarity with JavaScript or TypeScript.
- Contributions to open source AI tooling.
Technologies
- Agentic AI
- Authentication
- Claude Code
- CRM
- Cursor
- ERP
- Event-Driven Architecture
- GitHub
- GitHub Copilot
- IFS
- JavaScript
- LLM
- Python
- SaaS
- Test Automation
- TypeScript
Highlights
Applicants should submit a CV along with a short note (up to 200 words) describing an AI system they helped deploy, including a challenge faced and how it was resolved. Interviews and decisions will be made promptly due to the company's rapid growth.
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