AI Engineers
About the role
- Design and implement "loop engineering" workflows using Claude Code and similar tools, defining how agents plan, execute, test, and iterate on code changes
- Architect Model Context Protocol (MCP) servers and tool schemas that are legible and safe for LLM agents to use
- Define human-in-the-loop checkpoints, autonomy boundaries, and rollback strategies for agent-driven changes
- Build evaluation harnesses and observability practices to measure agent output quality and catch regressions
- Design and review microservice and microfrontend architecture using C4 diagrams and Domain-Driven Design principles
- Drive test-driven development practices across teams, including contract testing between services
- Own technical decisions across our Java microservices, Node.js services, React/microfrontend UI, and Python tooling
- Design REST APIs and headless component architectures that support both human developers and AI agents
- Establish CI/CD practices that safely incorporate agent-authored pull requests
- Set and enforce security practices for agentic workflows, including prompt injection risk and tool-permission boundaries
- Mentor senior and staff engineers on effective agent-assisted development
- Write RFCs and design docs that translate ambiguous problems into actionable technical plans, documents that both humans and agents can act onRequired Skills & Experience
- Agentic Development
- Hands-on experience with Claude Code or comparable agentic coding tools in production settings
- Strong understanding of MCP (Model Context Protocol) building and consuming MCP servers
- Context engineering: managing context windows, prompt caching, and information architecture for long-running agent sessions
- Awareness of prompt injection and agent-specific security risks
- Architecture & Backend
- Deep experience with Java microservices
- Strong REST API design skillsC4 model architecture documentation and system design
- Domain-Driven Design principles
- Node.js and Python for tooling, services, and automation
- MongoDB schema design, performance, and scaling.
Before you apply
Applying takes about a minute. These four things decide how fast it moves after that.
Your profile is current
It's what we read first. Occupations, seniority and locations matter more than a long history.
Two examples you can talk through
Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.
A number in mind
What you're on now and what would make you move. We negotiate better when we know both.
Your notice period
Employers plan around it, and it's the question that stalls offers most often.
Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.
