Staff Backend AI Engineer

🕒 Yesterday

🇺🇸 United States – Remote

💵 $115.7k - $208.3k / year

⏰ Full Time

🔴 Lead

🔙 Backend Engineer

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Experian

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1996

🤖 Artificial Intelligence

🤝 B2B

☁️ SaaS

Artificial Intelligence • B2B • SaaS

Experian is a global leader in digital experience, technology, and transformation. They partner with recognized brands to enhance customer understanding, innovate product strategies, and implement agile technology solutions. With a focus on delivering superior customer experiences through AI, cloud architecture, and project management, Experian helps businesses streamline their operations and achieve their objectives effectively.

📋 Description

• 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

🎯 Requirements

• 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.

🏖️ Benefits

• 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