Senior Software Engineer at Experian

Hyderabad, Telangana, India -

Full Time

Start Date

Immediate

Expiry Date

12 May, 26

Salary

0.0

Posted On

11 Feb, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Retrieval-Augmented Generation, Large Language Models, Vector Databases, Cloud Computing, AWS, LangChain, Docker, FastAPI, Uvicorn, Datadog, Asynchronous Programming, API Development, Containerized Environments, Monitoring, Observability

Industry

Information Services

Description

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 We are looking for a python developer with minimum 6-8 years specializing in Retrieval-Augmented Generation (RAG) systems, with experience in large language models (LLMs), vector databases, and cloud-based microservices. Your role will focus on building, integrating, and optimizing LLM workflows using LangChain and managing complex infrastructure with AWS services like Lambda and ECS. You'll bring expertise in containerized environments, using Docker, and work with vector databases to power data-driven applications. You'll have opportunity to: • RAG Workflow Development: Design and deploy LLM-driven RAG workflows using LangChain and vector databases to provide high-accuracy data retrieval and enhanced content generation. • Vector Database Management: Integrate and manage vector databases like Qdrant for optimized, high-speed vector searches and data retrieval. • Cloud Computing: Use AWS services, including Lambda and ECS, to build serverless architectures and scalable containerized applications. • API & Backend Development: Build APIs with FastAPI and Uvicorn to support low-latency interactions and handle high traffic volumes. • Monitoring & Observability: Implement observability best practices using Datadog, ddtrace, and logging tools to maintain performance and troubleshoot complex workflows. Qualifications • Proficiency in LLM and RAG Workflows: experience with LangChain and vector databases, applying RAG techniques for intelligent data retrieval and generation. • Python Proficiency (>=3.11,

Responsibilities

The role involves building, integrating, and optimizing LLM workflows using LangChain and managing complex infrastructure with AWS services. Responsibilities include designing RAG workflows, managing vector databases, and developing APIs for data-driven applications.