Senior Full Stack Engineer, Agentic Security

Dynamo AI is building the future of trustworthy AI for the enterprise. The Senior Full Stack Engineer will own the production systems behind Agent Warden, developing backend services, frontend dashboards, and deployment infrastructure while ensuring reliability for enterprise customers.

Responsibilities:

• 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

Requirements:

• Strong full-stack experience - you're comfortable building APIs, writing database queries, and shipping React/Next.js UIs
• Built production services with FastAPI or similar frameworks
• Understand dependency management and packaging - you're comfortable with uv, pyproject.toml, editable installs, and managing dependency graphs across shared libraries
• Owned release cycles end-to-end - versioning, changelogs, binary packaging, and distribution
• 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
• 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
• Care about code quality, clear abstractions, and keeping things simple. You prefer explicit over clever
• Have working knowledge of Git and are comfortable with trunk-based development, rebasing, and clean commit hygiene
• Comfortable working in ambiguity - requirements change fast, priorities shift, and you're proactive about figuring things out rather than waiting for direction
• Communicate clearly and can own a feature end-to-end - from understanding the requirement to deploying it
• 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