Staff Backend AI Engineer, Remote

**Company Description** Experian is a global data and technology company, powering opportunities for people and businesses around the world. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more. Experian invests in people and new advanced technologies to unlock the power of data. We have an amazing team of 25,200 people in 32 countries. **Job Description** 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, and technical coaching. * Contribute to on\-call rotations, incident response, and post\-mortem processes to guide systemic reliability improvements. **Qualifications** * 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 — with deep familiarity across compute (ECS/Fargate, EKS, Lambda), storage (S3, R