Staff Backend AI Engineer, Remote

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, RDS, DynamoDB), messaging (SQS, Kafka), and networking (VPC, API Gateway, CloudFront).
• 2+ years of professional Python development with command of async patterns (asyncio, FastAPI, Pydantic); 2+ years of Go in production microservices.
• Demonstrated experience architecting and operating large-scale transactional systems (high-volume OLTP, event-driven architectures, distributed caches, saga/outbox patterns).
• Hands-on experience building agentic AI systems — including agent orchestration, tool/function calling, RAG pipelines, and LLM integration patterns.
• Command of relational and non-relational databases (PostgreSQL, Aurora, DynamoDB, Redis, or ElasticSearch) with experience with query optimization and schema design at scale.
• Proficiency with containerization and infrastructure-as-code (Docker, Terraform, CDK, or Helm).
• Experience with observability tooling: Datadog, OpenTelemetry, CloudWatch, or equivalents.
• Experience owning and evolving CI/CD pipelines using tools like Jenkins, GitHub Actions or Harness.
• Experience integrating async messaging systems (Kafka, SQS) and designing event-driven architectures.
• Experience mentoring engineers and driving company level improvements in engineering culture, quality, and velocity.

Additional Information

Benefits/Perks

• 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
• Explore all our exciting benefits here:

Our uniqueness is that we celebrate yours. Experian's people first, inclusive and purpose driven culture is multi award-winning; World's Best Workplaces™ 2025 (Fortune Global Top 25), Great Place To Work™ in 26 countries to name a few. Check out Experian Life on social or explore our Careers Site to understand why.

Our compensation reflects the cost of labor across several U.S. geographic markets. The base pay range for this position is listed above. Within this range, individual pay is determined by work location and additional factors such as job-related skills, experience, and education. This position is also eligible for a variable pay opportunity and a comprehensive benefits package.

Recruitment Fraud Awareness - Experian's recruitment process is conducted only through authorised channels. Recruitment communications will only be sent from an @ experian.com email address. Experian will never ask candidates to make any payment as part of an application, interview, assessment, onboarding, or recruitment process. To apply for roles or verify opportunities, please visit experian.com/careers .

Experian is proud to be an Equal Opportunity Employer for all groups protected under applicable federal, state and local law, including protected veterans and individuals with disabilities. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.