Full-Stack AI Engineer at Traversal
Overview
Design and build core product surfaces powered by AI Site Reliability Engineer. Play a key role in owning complex systems end-to-end from user interface through backend services and infrastructure. Translate advanced AI capabilities into reliable production-grade experiences for engineers operating large-scale systems.
What You'll Do9
- 1Drive end-to-end development of core product capabilities translating AI-driven insights into intuitive workflows that empower engineers and reduce cognitive load.
- 2Design scalable system architectures spanning frontend backend services and data infrastructure to support real-time observability and automated operations.
- 3Create high-performance APIs and service layers that power the product and enable seamless integration between AI systems backend services and user interface.
- 4Build interactive interfaces for exploring operational data rapidly iterating with users to refine product workflows and usability.
- 5Develop efficient strategies for storing processing and retrieving large-scale operational data using PostgreSQL Redis and distributed systems.
- 6Collaborate with AI engineers to operationalize model outputs in production systems building reliable pipelines authentication systems and platform abstractions enabling AI-powered features.
- 7Help shape engineering best practices influence technical direction and raise the bar for system design performance and maintainability across codebase.
- 8Assemble and lead talented team members combining product intuition with deep engineering judgment working across distributed systems data pipelines and interactive front-end applications.
- 9Partner closely with product AI researchers and infrastructure engineers to shape platform architecture and build features for real-time incident detection root cause analysis and automated remediation.
Requirements12
- 18+ years building and operating complex full-stack systems in production environments
- 2Strong proficiency in Python and modern backend frameworks such as FastAPI or similar
- 3Deep experience building modern frontend applications using React and TypeScript
- 4Experience designing and operating scalable backend services and APIs
- 5Experience deploying and operating applications in cloud environments AWS including containerized workloads using ECS or Kubernetes
- 6Experience working with data-intensive systems including relational databases such as Postgres and distributed storage systems
- 7Strong product instincts and ability to translate technical capabilities into intuitive user-facing functionality
- 8Ability to operate effectively in early-stage startup environments with high ownership and evolving priorities
- 9Nice to have experience building data-heavy interfaces including time-series visualization or operational dashboards
- 10Experience working with observability platforms infrastructure tooling or developer platforms
- 11Familiarity with AI/LLM-powered products or agentic systems
- 12Background working on large-scale distributed or data-driven applications
Salary Insight
Salary not disclosed in listing
Location
Required Skills
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