About the Role
You'll build and own the production systems behind Agent Warden - the backend services, frontend dashboards, CLIs, and deployment infrastructure that make the product work end-to-end. You'll ship features fast, keep things simple, and make the systems reliable enough for enterprise customers to depend on. You can see what we're buildinghere.
This is a full stack, backend heavy role with a strong agentic development philosophy. We develop using AI-assisted workflows (Cursor, Claude Code, agent skills) as a first-class part of how we build software - not as an afterthought. You'll be expected to be highly productive in this mode of working.
Ideal profile: roughly 2-4 years of hands-on software engineering experience, high agency, strong communication, and hunger to grow.
In this role you will:
- Own end-to-end multiple backend services - APIs, data pipelines, shared libraries, and ML-adjacent packages (Python, FastAPI, NestJS)
- Build frontend dashboards and UIs with clean DOM rendering, efficient state management, and solid UX principles (React, TypeScript)
- Design and work with data models and migrations (PostgreSQL), and caching layers (Redis)
- Contribute to CI/CD and deployment infrastructure (Dockerfiles, Helm charts, GitHub Actions, K8s, AWS) and own release cycles end-to-end - versioning, binary packaging (PyInstaller), and distribution
- Write and use agent skills, cursor rules, and structured AI-assisted workflows as part of your daily development process
- Own the quality of what you ship - unit tests, latency tests, performance benchmarks, load tests, and debugging production issues
- Collaborate closely with the Applied Research team to productionize new capabilities
You might thrive in this role if:
- You have strong full-stack experience - you're comfortable building APIs, writing database queries, and shipping React/Next.js UIs
- You've built production services with FastAPI or similar frameworks
- You understand dependency management and packaging - you're comfortable with uv, pyproject.toml, editable installs, and managing dependency graphs across shared libraries
- You've owned release cycles end-to-end - versioning, changelogs, binary packaging, and distribution
- You're comfortable with infrastructure: Docker, Kubernetes, Helm, GitHub Actions, AWS. You don't need to be a DevOps engineer, but you can read a Helm chart, debug a failed deploy, and add an environment variable without hand-holding
- You develop using AI-assisted tools (Cursor, Claude Code, Copilot) and are productive in agentic workflows - writing skills, using structured prompts, and leveraging AI to move faster. No AI slop.
- You care about code quality, clear abstractions, and keeping things simple. You prefer explicit over clever.
- You have working knowledge of Git and are comfortable with trunk-based development, rebasing, and clean commit hygiene
- You're comfortable working in ambiguity - requirements change fast, priorities shift, and you're proactive about figuring things out rather than waiting for direction
- You communicate clearly and can own a feature end-to-end - from understanding the requirement to deploying it
Nice to have:
- Experience building CLIs with clean argument parsing, help text, and user-friendly error handling
- Understanding of Model Context Protocol (MCP), have built MCP servers/clients, and understand how LLMs invoke tools and interact with external systems
- Experience with Redis Streams, event-driven architectures, or real-time data pipelines
- Experience with ArgoCD, GitOps workflows, or managing multi-environment deployments
- Interest in AI security - understanding how agentic systems can be exploited and how to defend against it
What we offer
- Competitive salary + equity, so you share in the company's upside
- Work at the forefront of AI security, helping define a new category
- Remote-friendly, with a preference for candidates based in Amsterdam, Paris, Poland, New York, or San Francisco
- Fully funded team retreats every 8 weeks
- Health insurance allowance for you and your dependents
- Wellbeing, learning, and home office allowances (to support health, growth, and your setup)