The role focuses on designing and implementing components for AI-enhanced tooling that ensures safety and resilience across distributed systems
Job Summary
The role focuses on designing and implementing components for AI-enhanced tooling that ensures safety and resilience across distributed systems.
Candidates will collaborate with cross-functional teams including product, security, and SRE to translate high-level needs into robust technical implementations.
The position requires integrating quality feedback loops and runtime guards into build, deploy, and release pipelines to maintain operational quality.
Matching Summary
The role focuses on designing and implementing components for AI-enhanced tooling that ensures safety and resilience across distributed systems.
Skills & Requirements
Must-have
5-8 years software engineering experience
Python Go or TypeScript proficiency
Distributed system design expertise
AI/ML concepts application
Cloud environment familiarity AWS GCP Azure
Container orchestration Kubernetes knowledge
Nice-to-have
Hands-on LLM and agent framework experience
Semantic chunking implementation background
Formal methods or symbolic analysis understanding
Developer productivity tool development
Runtime observability dashboard experience
Key Requirements
5-8 years of software engineering experience
Solid foundation in Python, Go, or TypeScript
Strong understanding of microservices architectures