About Dynamo AI
Dynamo AI is building the future of trustworthy AI for the enterprise. Our platform provides real-time guardrails, red-teaming, and observability for generative and agentic AI systems-ensuring safe, compliant, and reliable deployments across regulated sectors such as financial services, insurance, healthcare and government.
We’re backed by leading partners and rapidly expanding with some of the world’s most sophisticated enterprises. Our products are in production at some of the largest institutions in the world (including Intel, Lenovo, Experian, and the US Army), actively unlocking AI deployments. We're well recognized and well funded (>$30M raised), with offices in NYC, SF, Bangalore, and a European office planned to open soon.
The Agentic Security Team builds the product and infrastructure behind Agent Warden - a security layer for agentic systems that detects risk patterns, enforces guardrails, and gives teams visibility into what their AI agents are actually doing. We ship backend services, frontend dashboards, CLI tools, and the deployment infrastructure that runs them. We work in tight loops with the Applied Research team, turning their insights into production systems. You can see what we're building here.
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 building here.
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 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)
