Gen AI Engineer

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 an enthusiastic Senior GenAI Engineer to drive our generative AI initiatives, with a strong focus on building GenAI utilities that elevate Quality Assurance practices and accelerate developer productivity across the engineering organisation.

You will design, build, and operationalise LLM-powered tools, agents, and platforms on AWS that are secure, scalable, and production-ready in a regulated environment.

Key Responsibilities

• You will be based in Hyderabad and reporting to Director Engineering
• Work as a senior GenAI engineer in an agile team to deliver high-quality, production-grade GenAI solutions within agreed timelines, aligned with business requirements and agile principles.
• Design and build GenAI-powered utilities for QA - including intelligent test case generation, test data synthesis, automated defect triage, log/anomaly summarization, and assistive code/test review tooling - to measurably improve quality and engineering velocity.
• Develop reusable GenAI accelerators, libraries, and internal copilots that increase productivity across software engineering, QA, and operations teams.
• Translate business and engineering requirements into clean, scalable Python code, applying design patterns, secure coding practices, and modern LLM application architectures (RAG, tool-use, agents).
• Build and operate LLM applications on AWS using services such as Amazon Bedrock, SageMaker, Lambda, ECS/EKS, API Gateway, S3, DynamoDB, and OpenSearch.
• Establish patterns and frameworks for prompt engineering, retrieval-augmented generation, evaluation, observability, and continuous improvement of GenAI systems.
• Champion responsible AI - guardrails, PII protection, model governance, hallucination mitigation, and compliance with security and regulatory requirements.
• Collaborate closely with cross-functional team members - QA engineers, software engineers, architects, product, and security - to design, develop, test, and release GenAI-powered software.
• Contribute to development processes and practices, fostering a culture of continuous integration, delivery, evaluation, and improvement for GenAI systems.
• Provide clear and concise documentation for prompts, models, datasets, code, processes, and system architecture to support knowledge sharing and maintainability.

Qualifications

• Bachelor’s degree in engineering or a related discipline.
• 3+ years of hands-on experience in software development, with at least 1+ years working on production GenAI / LLM-based applications.
• Proven experience building secure, high-volume, mission-critical systems in regulated industries (finance / insurance / healthcare).
• Expertise in translating business requirements into clean, scalable code using design patterns and security best practices.
• Strong individual contributor and effective team collaborator, comfortable working with QA, engineering, and product stakeholders.

Technical Skills

• Strong Python development skills - building production services with frameworks such as FastAPI / Flask, Pydantic, asyncio, and modern packaging/testing tooling.
• Hands-on expertise with AWS for designing, deploying, and operating applications - Bedrock, SageMaker, Lambda, ECS/EKS, API Gateway, S3, DynamoDB, OpenSearch, IAM, CloudWatch, Step Functions.
• Strong working knowledge of GenAI fundamentals - LLMs (Claude, GPT, Llama, Mistral and similar), embeddings, tokenisation, context windows, model selection, and cost/performance trade-offs.
• Experience designing a…