At a Glance
- Tasks: Build and own production systems for cutting-edge AI security products.
- Company: Join Dynamo AI, a leader in trustworthy AI for enterprises.
- Benefits: Competitive salary, equity, remote work, and wellness allowances.
- Other info: Dynamic team retreats every 8 weeks and excellent career growth.
- Why this job: Be at the forefront of AI security and make a real impact.
- Qualifications: Strong full-stack experience with APIs, databases, and React.
The predicted salary is between 80000 - 100000 £ per year.
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’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. 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.
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)
Senior Full Stack Engineer, Agentic Security employer: Dynamo AI
Dynamo AI is an exceptional employer located in the vibrant Greater London area, offering a dynamic work culture that fosters innovation and collaboration. Employees benefit from competitive salaries, comprehensive growth opportunities, and the chance to work at the forefront of AI technology, making a meaningful impact in enterprise settings. With a focus on professional development and a supportive environment, Dynamo AI is committed to empowering its team members to excel in their careers.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Full Stack Engineer, Agentic Security
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at meetups. A personal connection can often get you a foot in the door faster than any application.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repo showcasing your projects, especially those that align with what Dynamo AI is doing. This gives potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by practicing common questions and coding challenges. Use platforms like LeetCode or HackerRank to sharpen your skills. The more prepared you are, the more confident you'll feel!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in being part of the StudySmarter team.
We think you need these skills to ace Senior Full Stack Engineer, Agentic Security
Some tips for your application 🫡
Show Your Passion for AI Security:When writing your application, let us know why you're excited about AI security! Share any relevant experiences or projects that highlight your interest in this field. We love seeing candidates who are genuinely passionate about what we do.
Tailor Your Application:Make sure to customise your application to fit the Senior Full Stack Engineer role. Highlight your full-stack experience, especially with the technologies mentioned in the job description. This helps us see how you can contribute to our team right away!
Be Clear and Concise:We appreciate clarity in applications. Keep your language straightforward and avoid jargon unless necessary. This makes it easier for us to understand your skills and experiences without getting lost in technical terms.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at Dynamo AI
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, like Python, FastAPI, React, and PostgreSQL. Brush up on your knowledge of Docker, Kubernetes, and CI/CD processes, as these are crucial for the role.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous projects, especially those related to building APIs or managing release cycles. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your problem-solving abilities.
✨Demonstrate Your Collaboration Skills
Since this role involves working closely with the Applied Research team, be ready to share examples of how you’ve successfully collaborated with others in the past. Emphasise your communication skills and how you handle feedback and changes in requirements.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s approach to AI security and the specific challenges the Agentic Security Team is facing. This shows your genuine interest in the role and helps you assess if the company is the right fit for you.
