Sr. Staff Engineer (Java Fullstack or Python, AI)

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 APIs
  • LangChain / 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 databases
  • Data pipelines and streaming (Kafka, etc.)
• Deploy systems using:
  • AWS / Azure / GCP
  • Docker, Kubernetes
• Implement CI/CD pipelines
• Provide technical leadership and mentorshipYou 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 platforms
  • RAG architectures and vector search
• Understanding of:
  • Prompt engineering
  • Model 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