Software Engineer - AI Tooling

About the role

A partner company is looking for a Software Engineer - AI Tooling based in Slovenia. You will help shape the next generation of AI-powered developer experiences and tools, designing, building and maintaining intelligent agents, Model Context Protocol (MCP) servers, agent skills and AI-powered assistants so that development platforms are accessible to AI agents. The role champions an evaluation-first engineering approach and works with Documentation, CLI, Frontend, SDK and Infrastructure teams in a fast-moving, open-source-oriented environment alongside a globally distributed team.

Key responsibilities

• Design, develop and improve AI-powered developer tools, including MCP servers, intelligent agents, agent skills and dashboard assistants, and ensure they are accessible to AI agents from launch.
• Explore emerging AI technologies and agent architectures, prototype solutions, assess their effectiveness and decide which are suitable for production.
• Establish an evaluation-first culture with frameworks, instrumentation and feedback loops, and benchmark tools against no-tool baselines to define quality indicators and release criteria.
• Analyse how developers and AI agents use tools and turn insights into improvements to interfaces, documentation and functionality.
• Design how technical documentation and product knowledge are exposed to AI agents, and build reusable patterns such as MCP integrations with Edge Functions, vector embeddings and AI agents on Edge Functions.
• Provide contribution guidelines, templates and documentation for other engineering teams, centralise shared AI logic and components, and ensure production readiness through testing, benchmarking and stress testing.
• Collaborate with AI Tooling Infrastructure engineers on hosting, authentication, scalability and reliability, and stay up to date with the AI ecosystem.

Required profile

• At least 5 years of professional software engineering experience.
• Previous experience building developer tools, product interfaces or platform components used by other engineers.
• Experience with evaluation frameworks to measure AI quality, reliability and task success, including baselines, performance variance and cost considerations.
• Solid testing practices and good written communication; comfortable in asynchronous, globally distributed teams.

Required skills

• TypeScript and deep knowledge of the JavaScript ecosystem (npm, ES modules, bundlers).
• Deep familiarity with the AI ecosystem, agent architectures and development patterns.
• PostgreSQL and relational database principles.

Advantages: vector databases and embeddings (pgvector), customer-facing AI features or assistants, technical documentation design, Braintrust or similar evaluation/tracing platforms, open-source contributions, and cross-team collaboration.

What we offer

• Fully remote work with a WeWork membership or co-working allowance.
• Employee Stock Option Plan (ESOP) and technology allowance.
• Health coverage covering 100% of employee insurance and 80% of dependents where applicable.
• Annual off-sites, flexible asynchronous hours, and a professional development allowance.