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)
Numbers & Facts
Location
San Francisco, California
Website
dynamo.ai/agentwarden
Skills
Amazon Web Services (AWS)unmatched
Application Programming Interface (API)unmatched
Artificial Intelligence (AI)unmatched
Benchmarkingunmatched
Cachingunmatched
Category Developmentunmatched
Communication Skillsunmatched
Continuous Deployment/Deliveryunmatched
Continuous Integrationunmatched
DOM (Document Object Model)unmatched
Data Managementunmatched
Data Migrationunmatched
Data Modelingunmatched
Debugging Skillsunmatched
DevOpsunmatched
Dockerunmatched
Engineeringunmatched
Error Handlingunmatched
Gitunmatched
GitHubunmatched
JavaScriptunmatched
Load Testingunmatched
MCP - Microsoft Certified Professionalunmatched
Natural Language Parsingunmatched
Performance Testingunmatched
Philosophyunmatched
PostgreSQLunmatched
Production Systemsunmatched
Python Programming/Scripting Languageunmatched
React.jsunmatched
Redisunmatched
Reporting Dashboardsunmatched
Software Engineeringunmatched
Unit Testunmatched
User Interface/Experience (UI/UX)unmatched
Writing Skillsunmatched
🎯
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