Sr. Staff Engineer (Java Fullstack or Python, AI)
Experian - Hyderabad, , India
Posted Jun 10, 2026
Benefits
- Parental leave
- Not verified
- Non-birth-parent leave
- Not verified
- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
- Not verified
- Relocation assistance
- Not verified
- Childcare support
- Not verified
- Learning budget
- Not verified
- Verification
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- Salary
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Market context
- U.S. role benchmark (BLS OEWS)
- $111,944 U.S. median for this role
- Projected growth (BLS Employment Projections)
- +13.7% - Much faster than average
Matched to SOC 15-1252 - Data and ML aggregate by role bucket.
Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.
Schedule
- Shift type
- Not verified
- Weekend work
- Not verified
Application
- Cover letter
- Not verified
- Assessment
- Not verified
- Deadline
- Not stated
Where they hire
State eligibility is not yet verified.
About this role
Sr. Staff Engineer (Java Fullstack or Python, AI) Hyderabad, , India Company Description: Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people to realize their financial goals and help them save time and money. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more industry segments. We invest in people and new advanced technologies to unlock the power of data. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 22,500 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at experianplc.com. 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
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