Senior Applied AI Engineer
About the role
Platned, a UK-headquartered enterprise services company, is seeking a Senior Applied AI Engineer to join their product team focused on building enterprise AI solutions for complex business operations. The role involves designing, building, and improving AI agents that support real business workflows, including automation and guided decision making. Key responsibilities include developing AI agents, designing information retrieval and context management, building integration tools, creating evaluation sets and automated tests, and collaborating with users and stakeholders to refine solutions. The ideal candidate will have significant software engineering experience, hands-on AI agent development, strong Python skills, and expertise in integrating with business systems. The company offers a high-growth environment, competitive compensation, and dedicated resources for career development. Applicants are asked to submit a CV and a short note about an AI feature they have shipped.
Must have
- 5 or more years in software engineering.
- At least 1 year shipping LLM or AI agent features used by real users.
- Strong Python skills.
- Experience with retrieval augmented generation, tool calling and structured outputs.
- Experience writing evaluations and measuring AI quality.
- Experience with context engineering, guardrails and human review steps for agents used by real people.
- Solid API and integration skills.
- 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.
- Comfortable working with business users and translating needs into technical solutions.
Nice to have
- Integration experience with ERP, EAM, CRM or field service systems.
- Domain knowledge in asset maintenance, field service, supply chain, procurement, project delivery or finance within operations-heavy industries.
- Experience building assistants for chat or email channels.
- Experience with more than one AI agent framework.
- Experience with knowledge graphs or search systems.
- Familiarity with JavaScript or TypeScript.
Technologies
- Agentic AI
- Claude Code
- CRM
- Cursor
- ERP
- GitHub
- GitHub Copilot
- IFS
- JavaScript
- LLM
- Python
- RAG
- Test Automation
- TypeScript
Highlights
Applicants should submit a CV and a short note (up to 200 words) about an AI feature they shipped, including its users, measurement of success, and post-launch changes. Interviews and decisions will be made promptly due to rapid company growth.
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