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Staff Backend AI Engineer, Remote
Experian
Remote, USA
Full-time
Mid-Senior
Remote
Discovered 4 weeks ago
Free
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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
Full Job Posting
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
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.
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