Senior Full Stack Engineer, Agentic Security

• 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

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., * 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

• 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)