Staff Backend AI Engineer, Remote

Job Description

Staff Software Engineer

Location: Charleston, WV (On-site, Remote)

Machine Learning & Artificial Intelligence

Company

Experian is a global data and technology company operating across financial services, healthcare, automotive, agribusiness, insurance, and more. The company has 25,200 employees in 32 countries.

Overview

Job Description

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 engineers. Reports to 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 end-to-end design of agentic AI workflows using orchestration frameworks (LangGraph, AutoGen, CrewAI) with 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, EventBridge) aligned with 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 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 work for new technologies and evaluate 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 for systemic reliability improvements.

Qualifications

• B.S. or M.S. degree in Computer Science, Software Engineering, or related technical discipline
• 8+ years professional software engineering experience including 3+ years in staff-level, principal, or equivalent technical leadership role
• 4+ years 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 professional Python development with async patterns (asyncio, FastAPI, Pydantic); 2+ years 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, ElasticSearch) with query optimization and schema design at scale
• Proficiency with containerization and infrastructure-as-code (Docker, Terraform, CDK, Helm)
• Experience with observability tooling: Datadog, OpenTelemetry, CloudWatch, or equivalents
• Experience owning and evolving CI/CD pipelines using 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

• Great compensation package and bonus plan
• Core benefits including medical, dental, vision, and matching 401K
• Flexible work environment (remote, hybrid, or in-office)
• Flexible time off including volunteer time off, vacation, sick, and 12-paid holidays

Benefits details: https://yourexperianbenefits.com/cand-index.html

Machine Learning & Artificial Intelligence

Experian is an Equal Opportunity Employer.

Programming