Job Description
Design and build end-to-end full stack applications (frontend, backend, APIs, data layers) Architect scalable, resilient systems using microservices and cloud-native patterns Integrate Generative AI models (LLMs) into applications for automation, insights, and user experience Build and optimize AI-driven workflows (RAG pipelines, agents, prompt engineering) Develop applications using tools like:OpenAI / Azure OpenAI / Anthropic APIsLangChain / LlamaIndex / Semantic Kernel Implement:Retrieval-Augmented Generation (RAG)Vector databases (Pinecone, Weaviate, FAISS)Embedding pipelines and semantic search Design prompt strategies and evaluation frameworks Ensure responsible AI practices (safety, bias mitigation, monitoring) Build modern UI using:React, Next.js, Angular, or Vue Create intuitive interfaces for AI-powered features (chat, copilots, dashboards) Backend Development
Develop scalable services using:Node.js, Python, Java, or Go Build REST/GraphQL APIs and real-time systems Handle orchestration of AI services and workflows Work with:SQL/NoSQL databasesData pipelines and streaming (Kafka, etc.) Deploy systems using:AWS / Azure / GCPDocker, Kubernetes Implement CI/CD pipelines Provide technical leadership and mentorship You will report to a Senior Engineering Manager Qualifications
You need to have 8–12+ years of full stack development experience You need to be expertise in:Frontend frameworks (React/Next.js preferred)Backend systems (Node.js / Python / Java) Experience with system design, scalability, and performance GenAI & AI/ML
Hands-on experience with:LLM APIs and GenAI platformsRAG architectures and vector search Understanding of:Prompt engineeringModel evaluation and tuning Experience building AI-powered applications in production Modern Tooling
Cloud platforms (AWS, Azure, GCP) Containerization (Docker, Kubernetes) DevOps practices and CI/CD Git, testing frameworks, observability tools 3+ years of experience with AI agents and autonomous workflows Experience in enterprise-scale systems Preferred Qualifications
Experience with AI agents and autonomous workflows Exposure to MLOps pipelines Experience in enterprise-scale systems Additional Information
Our uniqueness is that we truly celebrate yours. Experian's culture and people are important differentiators. We take our people agenda very seriously and focus on what truly matters; DEI, work/life balance, development, authenticity, engagement, collaboration, wellness, reward & recognition, volunteering... the list goes on. Experian's strong people first approach is award winning; Great Place To Work in 24 countries, FORTUNE Best Companies to work and Glassdoor Best Places to Work (globally 4.4 Stars) to name a few. Check out Experian Life on social or our Careers Site to understand why.
Experian is proud to be an Equal Opportunity and Affirmative Action employer. Innovation is a critical part of Experian's DNA and practices, and our diverse workforce drives our success. Everyone can succeed at Experian and bring their whole self to work, irrespective of their gender, ethnicity, religion, color, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.
Experian Careers - Creating a better tomorrow together
Benefits
Experian care for employee's work life balance, health, safety and wellbeing. In support of this endeavor, we offer best-in-class family well-being benefits, enhanced medical benefits and paid time off.
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Experian Careers - Creating a better tomorrow together
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