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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
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.