Architect, build, and own services for large-scale transactional platforms
Lead the end-to-end design of agentic AI workflows using orchestration frameworks
Implement these workflows using tool-calling patterns and multi-agent coordination on AWS
Write production-grade Python and Go services
Design and govern AWS-native infrastructure
Establish engineering standards: code review practices, test coverage requirements, CI/CD pipelines, and observability instrumentation
Conduct and lead technical design reviews for new services, integrations, and platform changes
Resolve performance bottlenecks in distributed systems
Guide proof-of-concept work for new technologies
Mentor and level up senior and mid-level engineers
Contribute to on-call rotations, incident response, and post-mortem processes

B.S. or M.S. degree in Computer Science, Software Engineering, or a related technical discipline
8+ years of professional software engineering experience, including 3+ years in a staff-level, principal, or equivalent technical leadership role
4+ years of hands-on experience building and operating production services on AWS
2+ years of professional Python development with command of async patterns
2+ years of Go in production microservices
Demonstrated experience architecting and operating large-scale transactional systems
Hands-on experience building agentic AI systems
Command of relational and non-relational databases
Proficiency with containerization and infrastructure-as-code
Experience with observability tooling
Experience mentoring engineers and driving company level improvements in engineering culture, quality, and velocity.

Great compensation package and bonus plan
Core benefits including medical, dental, vision, and matching 401K
Flexible work environment, ability to work remote, hybrid or in-office
Flexible time off including volunteer time off, vacation, sick and 12-paid holidays

Staff Backend AI Engineer

Key skills