AI Engineer - Full-Stack

Traversal is the AI Site Reliability Engineer (SRE) for the enterprise—already trusted by some of the largest companies in the world to troubleshoot, remediate, and even prevent the most complex production incidents. Our mission is to free engineers from endless firefighting and enable them to focus on creative, high-impact work. 

Our roots remain deeply embedded in AI research, and we’re channeling that scientific rigor and creativity into building the premier AI agent lab for the enterprise. Hence, what we’re proudest of is assembling the most talented yet nicest group of individuals, including researchers from MIT, Harvard, and Berkeley, to world-class engineers from industry: Citadel Securities, Cockroach Labs, Datadog, DE Shaw, ServiceNow, Glean, Perplexity, Pinecone, and more, to take on one of the hardest problems for AI to solve. Without the entire team, none of this would be possible.

As a Full-Stack AI Engineer at Traversal, you’ll play a key role in designing and building core features powered by our AI site reliability engineer. From the user interface to the backend and infrastructure, you’ll develop product components to enable real-time incident detection, root cause analysis, and automated remediation in some of the most complex production environments. This role will focus on the ability to work across the full pipeline of our product, and someone who can have a strong product sense while also being comfortable working around AI and data processing infrastructure will be the best fit. 

• Product Impact: Translate AI-powered insights into user-friendly features that empower engineers and reduce cognitive load.
• User Experience: Innovate and drive the evolution of UX/UI design, rapidly iterating based on user feedback to improve overall usability.
• API Development: Design and implement high-performance APIs to enable seamless communication between backend systems and frontend interfaces.
• Data Management: Ensure efficient data storage, retrieval, and processing, leveraging technologies like PostgreSQL, Redis, or others.
• AI Integration: Collaborate with AI engineers/researchers to integrate AI-driven insights and solutions into backend systems, and take ownership of API authentication and authorization frameworks.
• Data Visualization: Develop intuitive interfaces for presenting and interacting with complex time-series and topological data.

• 3+ years of software engineering experience, with a strong focus on full-stack systems.
• Proven ability to lead in fast-paced startup environments, with limited resources, shifting priorities, and minimal structure.
• Strong experience with Python and web frameworks such as FastAPI.
• Hands-on experience with React, TypeScript, Next.js, and TailwindCSS to build fast, responsive, and maintainable frontends. React experience is essential, but we’re happy to support learning the other tools.
• Experience deploying applications on AWS, working with ECS or Kubernetes, Postgres for data storage, and S3 for large-scale object storage.
• Note: You don’t need to meet every single requirement. If you have deep experience in a subset of these areas, we encourage you to apply.

• Familiarity with Python-based ecosystems is a plus.
• Experience working with Agentic AI systems or in the observability domain.
• Background in large-scale, complex, data-driven applications.
• Familiarity with AI or LLM-powered products.

We offer competitive compensation, startup equity, health insurance, and additional benefits. The U.S. base salary range for this full-time, in-person role in New York is $150,000–$300,000, plus equity and benefits. Our salary ranges are based on location, level, and role. Individual compensation is determined by experience, skills, and job-related knowledge.

We’ll make sure you’re fully supported with health insurance, a great tech setup, flexible time off, and plenty of in-office snacks. We offer competitive salary and equity packages, and take thoughtful consideration with every hire on our small, high-impact team.

Traversal is fully in-office, 5 days a week, based in New York near Madison Square Park. We have a collaborative, hard-working culture and are energized by building the future of AI-powered software maintenance.

Working here means owning meaningful parts of the product, having the flexibility to move fast, and learning constantly. This is a place to grow your career, make a real impact, and help define a new category of infrastructure software.