Sr. Staff Engineer

• 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 Angular or Vue
• Create intuitive interfaces for AI-powered features (chat copilots dashboards)

Backend Development

• Develop scalable services using:
  • 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 812 years of full stack development experience
• You need to be expertise in:
  • Frontend frameworks (React/ preferred)
  • Backend systems ( / 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. Experians 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. Experians 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 Experians 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 employees work life balance health safety and support of this endeavor we offer best-in-class family well-being benefits enhanced medical benefits and paid time off.

#LI-Onsite

Experian Careers - Creating a better tomorrow together

Find out what its like to work for Experian by clicking here

Remote Work :

No

Employment Type :

Full-time