ExperianGen AI Software Engineer Senior
AI in this role
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.
We are looking for an Automation Engineer with experience with automation and modern AI/GenAI/Agentic technologies. You will use your programming knowledge of AI/GenAI/Agentic to build automation workflows for our business processes. You will integrate large language models (LLMs) and agentic automation solutions into our processes, helping the team improve operations and improve efficiency. This is a fantastic opportunity to engage with educational credentials and explore personal and professional projects in AI and automation. You will report to the Smart Automation Delivery Manager.
- Build Automation Workflows: Develop scripts and tools to improve processes like onboarding, transactions, and reporting.
- Integrate AI and LLMs: Enhance workflows using generative AI (e.g., OpenAI APIs) for tasks like document handling and decision support.
- Agentic AI Solutions: Design agent-based automations using frameworks like CrewAI to perform multi-step tasks independently.
- Data Retrieval & RAG: Use vector databases and RAG techniques to allow context-aware AI outputs from stored knowledge.
- Cross-Team Collaboration: Partner with product, operations, and data teams to translate our needs into automation solutions.
- Maintain: Test, document, and increase workflows; stay current with AI trends and support deployed solutions.
Qualifications
- Education & Experience: Bachelor's in Computer Science or related field, with 5+ years of overall experience and 1–2 years in GenAI/Agentic AI technologies.
- Programming Skills: Python proficiency with clean, efficient coding; experience in TypeScript or JavaScript.
- Generative & Agentic AI: Hands-on experience with LLMs, OpenAI API (or similar), prompt engineering, and frameworks like CrewAI.
- Vector Databases and RAG: Understanding of vector databases (e.g., FAISS, LlamaIndex) and Retrieval-Augmented Generation techniques.
- API & Cloud Integration: Experienced in RESTful APIs, JSON/XML handling, and deploying automation workflows using AWS, Azure, or GCP.
- Problem Solving & Communication: Experience building scalable, resilient, and observable distributed systems and experience creating detailed technical documentation and concepts across teams.
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.
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.
- Benefits/Perks:
Our benefits include: Medical, life and dental insurance, Asociacion Solidarista, International Share Save Plan, Flex Work/Work from home, Paid time off, Annual Performance Bonus, Education Reimbursement, Family Bonding, Bereavement Leave, Referral Program, and more.
- This is a fully remote job opportunity. #LI-Remote
How we rate this
Gen AI Software Engineer Senior at Experian rates 84 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
Prepare for this job
A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.
Skills and AI tools this role asks for
Questions you could be asked
- How do you structure and test a prompt to get consistent output from a language model?
- How would you design a retrieval step so the model answers from real data instead of guessing?
- What are the limits of OpenAI that you've run into, and how did you work around them?
- What's a project where you used LlamaIndex hands-on?
- Walk me through how you've used CrewAI in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Prompt Engineering, RAG, OpenAI, LlamaIndex, and CrewAI. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped — this role is judged on the AI system itself, not the tools around it.
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