About this role
Design and build end-to-end full stack applications (frontend, backend, APIs, data layers)Architect scalable, resilient systems using microservices and cloud-native patternsIntegrate Generative AI models (LLMs) into applications for automation, insights, and user experienceBuild and optimize AI-driven workflows (RAG pipelines, agents, prompt engineering)Develop applications using tools like:OpenAI / Azure OpenAI / Anthropic APIsLangChain / LlamaIndex / Semantic KernelImplement:Retrieval-Augmented Generation (RAG)Vector databases (Pinecone, Weaviate, FAISS)Embedding pipelines and semantic searchDesign prompt strategies and evaluation frameworksEnsure responsible AI practices (safety, bias mitigation, monitoring)Build modern UI using:React, Next.js, Angular, or VueCreate intuitive interfaces for AI-powered features (chat, copilots, dashboards)Backend Development
Develop scalable services using:Node.js, Python, Java, or GoBuild REST/GraphQL APIs and real-time systemsHandle orchestration of AI services and workflowsWork with:SQL/NoSQL databasesData pipelines and streaming (Kafka, etc.)Deploy systems using:AWS / Azure / GCPDocker, KubernetesImplement CI/CD pipelinesProvide technical leadership and mentorshipYou will report to a Senior Engineering Manager
You need to have 8–12+ years of full stack development experienceYou need to be expertise in:Frontend frameworks (React/Next.js preferred)Backend systems (Node.js / Python / Java)Experience with system design, scalability, and performanceGenAI & AI/ML
Hands-on experience with:LLM APIs and GenAI platformsRAG architectures and vector searchUnderstanding of:Prompt engineeringModel evaluation and tuningExperience building AI-powered applications in productionModern Tooling
Cloud platforms (AWS, Azure, GCP)Containerization (Docker, Kubernetes)DevOps practices and CI/CDGit, testing frameworks, observability tools3+ years of experience with AI agents and autonomous workflowsExperience in enterprise-scale systemsPreferred Qualifications
Experience with AI agents and autonomous workflowsExposure to MLOps pipelinesExperience in enterprise-scale systems
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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