Staff Backend AI Engineer, Remote

Role Overview

Overview

We are looking for a Staff Software Engineer to lead the delivery of high-throughput, large-scale transactional systems and agentic AI applications. You will serve as a technical anchor across engineering squads - setting the bar for code quality, cloud architecture, and engineering excellence while mentoring the next generation of engineers. You will report to the Sr. Principal Engineer.

Responsibilities

• Architect, build, and own services for large-scale transactional platforms — ensuring high availability, fault tolerance, and sub-second performance at millions of transactions per second.
• Lead the end-to-end design of agentic AI workflows using orchestration frameworks, such as LangGraph, AutoGen, and CrewAI. Implement these workflows using tool-calling patterns and multi-agent coordination on AWS.
• Write production-grade Python and Go services; establish language-specific idioms, patterns, and performance baselines adopted across engineering teams.
• Design and govern AWS-native infrastructure (ECS, EKS, Lambda, MSK, RDS Aurora, DynamoDB, SageMaker, or EventBridge) - ensuring solutions align with the AWS Well-Architected Framework.
• Establish engineering standards: code review practices, test coverage requirements, CI/CD pipelines, and observability instrumentation (distributed tracing, structured logging, alerting).
• Conduct and lead technical design reviews for new services, integrations, and platform changes; produce high-quality architecture decision records (ADRs) and technical specs.
• Resolve performance bottlenecks in distributed systems, including database query optimization, caching strategies, and async processing patterns.
• Guide proof-of-concept (PoC) work for new technologies and evaluate their production readiness; present recommendations to engineering leadership.
• Mentor and level up senior and mid-level engineers through structured code reviews, pairing sessions, an