Experian

Staff Backend AI Engineer, Remote

Experian • $130K — $180K *
US-AnywhereRemote in United States
Enterprise Technology
8 - 10 years of experience
Today
Be an Early Applicant
Job Overview by Ladders

Qualifications

  • B.S. or M.S. in Computer Science, Software Engineering, or related field
  • 8+ years of software engineering experience; 3+ years in a technical leadership role
  • 4+ years building production services on AWS
  • 2+ years of professional Python development; 2+ years using Go
  • Experience with large-scale transactional systems and agentic AI applications
  • Proficiency in relational and non-relational databases with optimization skills
  • Familiarity with containerization and infrastructure-as-code tools.

Responsibilities

  • Architect and build services for high-throughput transactional platforms
  • Lead design of agentic AI workflows using orchestration frameworks
  • Write production-grade services in Python and Go
  • Design AWS-native infrastructure aligning with Well-Architected Framework
  • Establish engineering standards including code review and CI/CD pipelines
  • Conduct technical design reviews and produce architecture decision records
  • Resolve performance bottlenecks in distributed systems.
  • Mentor engineers through code reviews and coaching.

Benefits

  • Great compensation package and bonus plan
  • Core medical, dental, and vision benefits
  • Matching 401K plan
  • Flexible work environment: remote, hybrid, or in-office
  • Flexible time off including volunteer, vacation, sick leave, and paid holidays
Full Job Description
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: https://yourexperianbenefits.com/cand-index.html

Videos To Watch
https://www.youtube.com/watch?v=m2lY6B78g6s

About Experian

Experian is a global information services company that provides data and analytical tools to clients around the world. The company was founded in 1996 and is headquartered in Dublin, Ireland. Experian operates in four main business areas: Credit Services, Decision Analytics, Marketing Services, and Consumer Services. The company provides credit reporting services to businesses and consumers, helping them to make informed decisions about credit and financial risk. Experian also provides data and analytics to help businesses manage risk, prevent fraud, and improve their marketing efforts. The company has operations in 45 countries and serves clients in more than 100 countries.
Learn more about Experian
Size
51,493 employees
Industry
Finance & Insurance
Founded
1980
NASDAQ
EXPGY
* Ladders Estimates

Similar Jobs

Ad banner background

Get Ready For Your
Next Interview

More Jobs at Experian

More Enterprise Technology Jobs

Find similar Staff Backend AI Engineer, Remote jobs:

NationwideRemote