Software Engineer - AI Tooling

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.

• At least 5 years of professional software engineering experience.

• Strong proficiency in TypeScript and extensive knowledge of the JavaScript ecosystem, including npm, ES modules, bundlers, and compatibility considerations.

• Deep familiarity with the AI ecosystem, including current tools, agent architectures, development patterns, and their practical trade-offs.

• Ability to distinguish sustainable and effective AI engineering approaches from short-lived trends or unnecessary complexity.

• Previous experience building developer tools, product interfaces, or platform components used by other engineers.

• Experience designing, implementing, or working with evaluation frameworks to measure AI quality, reliability, and task success.

• Understanding of evaluation fundamentals, including baselines, performance variance, cost considerations, and measurable quality improvements.

• Strong technical judgment when identifying opportunities to use AI effectively while avoiding fragile, unnecessary, or overly complex solutions.

• Solid testing practices and experience validating software reliability under real-world conditions.

• Good knowledge of PostgreSQL and relational database principles.

• Excellent written communication skills and the ability to collaborate effectively across engineering, product, and documentation teams.

• Comfortable working in asynchronous, globally distributed teams and managing priorities independently.

• Ability to navigate ambiguity, adapt to rapidly evolving technologies, and deliver high-quality solutions in a fast-paced environment.

Additional experience that would be an advantage:

• Experience working with vector databases, embeddings, and semantic search technologies, particularly pgvector.

• Previous experience shipping customer-facing AI features, intelligent assistants, or autonomous agents.

• Experience designing technical documentation, structured knowledge bases, or information systems optimised for developers and AI agents.

• Familiarity with Braintrust or similar AI evaluation and tracing platforms, or experience implementing automated quality gates within CI/CD pipelines.

• Contributions to open-source projects or experience maintaining developer-focused tools and libraries.

• Experience collaborating across multiple product areas, engineering teams, or technical platforms.