Software Engineer - AI Tooling
This position is listed on behalf of a partner company, which manages all applications and next steps. Our partner is looking for a Software Engineer - AI Tooling based in Portugal.
As a Software Engineer on the AI Tooling team, you will help shape the next generation of AI-powered developer experiences and tools.
You will design, build, and maintain intelligent agents, Model Context Protocol (MCP) servers, agent skills, and AI-powered assistants.
Your work will make development platforms and products more accessible to AI agents, enabling developers to build smarter applications and workflows.
You will champion an evaluation-first engineering approach, ensuring that every tool is measured against clear quality, reliability, and performance benchmarks.
Working closely with Documentation, CLI, Frontend, SDK, and Infrastructure teams, you will contribute to a consistent and scalable developer experience.
You will also explore emerging AI technologies, experiment with new approaches, and turn promising innovations into production-ready solutions.
This is an opportunity to make a significant impact in a fast-moving, open-source-oriented environment alongside a globally distributed engineering team.
Accountabilities
- Design, develop, and continuously improve AI-powered developer tools, including MCP servers, intelligent agents, agent skills, and dashboard assistants.
- Ensure new products and features are accessible to AI agents from launch by developing the necessary tools, skills, integrations, and evaluation frameworks.
- Explore emerging AI technologies and agent architectures, rapidly prototype new solutions, assess their effectiveness, and collaborate with the team to determine which innovations are suitable for production.
- Establish and promote an evaluation-first engineering culture by developing evaluation frameworks, instrumentation, and feedback loops to measure AI tool quality and effectiveness.
- Benchmark AI-powered tools against no-tool baselines, monitor performance, and define quality indicators and release criteria to prevent regressions.
- Analyse how developers and AI agents interact with existing tools and translate usage insights into improvements to interfaces, documentation, and overall functionality.
- Design and optimise how technical documentation and product knowledge are structured and exposed to AI agents, measuring their effectiveness and accessibility.
- Develop reusable patterns and tools that enable customers to integrate AI capabilities into their own applications, including MCP integrations with Edge Functions,...
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.
Sed ut perspiciatis unde omnis iste natus error sit voluptatem accusantium doloremque laudantium, totam rem aperiam, eaque ipsa quae ab illo inventore veritatis.