Technical leader in Data Science Products developing machine learning solutions at Arrive. Driving engineering excellence and architecting robust data services for urban mobility.
About the role
- AI Software Engineer building AI-powered development tools in legal tech startup. Focused on enhancing automation and development workflows within specialized AI systems.
Responsibilities
- Build and extend The Factory, our multi-agent system that processes GitLab issues end-to-end through specialised agents.
- Ship production-grade workflows that move from issue → plan → code → review → merge request.
- Iterate quickly while keeping quality high through strong interfaces, tests, and system design.
- Design robust agentic workflows using tools like BAML, MCP, and DSPy (or equivalents).
- Write the glue between LLMs and real codebases: implement context retrieval across repos: ownership boundaries, relevant files, conventions, and dependencies.
- Build code generation and automated review loops that respect architecture and patterns in the codebase.
- Stay AI-native and keep us ahead: work daily with AI-native dev tools: Claude Code, Codex, Gemini CLI, and decide what’s worth integrating (and what isn’t).
Requirements
- You’ve actually built with AI coding/agent tools in real workflows (not just demoed them).
- Strong TypeScript and/or Python (bonus if you’ve worked with Ruby on Rails).
- Comfort with prompt design, agent orchestration patterns, and basic LLM evaluation (offline and/or in-product signals).
- You understand software architecture well enough to teach an agent about it: boundaries, trade-offs, conventions, and what “good” looks like in a real codebase.
- Hard requirement (the only one): hands-on experience with at least one AI-native dev/agent tool (e.g. Claude Code, Codex, Gemini CLI, or similar).
Benefits
- Autonomy over how and when work is delivered
- Access to necessary systems, tools, and documentation
- Clear scope of work, with clear success criteria and meaningful deliverables
- Opportunity to work on complex, high-impact problems
- Exposure to enterprise / scale-up environments
- Ability to shape systems, processes, or architecture
- Strong portfolio / reference value
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
No Education Requirement
Tech skills
Location requirements
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