Gen AI Engineer

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 #LI-hybrid 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 :

• Bachelors 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 and shipping Retrieval-Augmented Generation (RAG) solutions using vector stores (OpenSearch pgvector Pinecone FAISS) and hybrid retrieval patterns.
• Practical experience with prompt engineering structured outputs function/tool calling and agentic patterns; familiarity with frameworks such as LangChain LlamaIndex Bedrock Agents or similar.
• Experience defining and running LLM evaluation frameworks - golden datasets automated evals regression testing and online metrics for quality safety and cost.
• Building and consuming REST / gRPC APIs using microservices / SOA with strong API design versioning and security practices.
• Experience writing unit and integration tests (pytest) applying TDD and building eval harnesses for LLM-based components.
• Expertise in creating maintaining and reusing frameworks / libraries for GenAI utilities and shared platform capabilities.
• Experience with model fine-tuning and parameter-efficient techniques (LoRA QLoRA) distillation and small-language-model deployment.
• Experience with agentic frameworks multi-agent orchestration and emerging standards such as Model Context Protocol (MCP).
• Clean code clean architecture SOLID principles and design patterns applied to data- and ML-intensive systems.
• Expertise with SQL / NoSQL databases (PostgreSQL DynamoDB MongoDB) for application and feature/metadata storage.
• Proficient with Docker Kubernetes and Git (Bitbucket GitHub GitLab) and CI/CD practices.
• Experience working in Agile teams (Scrum or Kanban).
• Familiar with static code analysis dependency scanning and vulnerability management for AI/ML applications.

Desirable Skills

• Demonstrable experience building GenAI utilities or copilots for QA and/or developer productivity (test generation defect triage code/test review assistants documentation generation).
• AWS certifications - especially AWS Certified Machine Learning - Specialty AI Practitioner Solutions Architect or Developer Associate.
• Experience deploying and scaling services on Amazon ECS / EKS and serverless GenAI architectures.
• Working knowledge of GenAI tools for coding (e.g. GitHub Copilot Amazon Q Developer Claude Code).
• Familiarity with Domain-Driven Design (DDD) and Event-Driven Architecture (EDA).
• Event streaming / messaging tools (Kafka EventBridge Kinesis RabbitMQ ActiveMQ).
• Proficient in Infrastructure as Code (IaC) using Terraform CloudFormation or AWS CDK.
• CI/CD tools such as GitHub Actions GitLab CI or Jenkins with experience building MLOps / LLMOps pipelines.
• Experience with LLM observability and evaluation tooling (LangSmith LangFuse RAGAS Helicone Arize) and responsible-AI guardrails.

Additional Information :

Our uniqueness is that we celebrate yours. Experians culture and people are important differentiators. We take our people agenda very seriously and focus on what matters; DEI work/life balance development authenticity collaboration wellness reward & recognition volunteering... the list goes on.

Experians people first approach is award-winning; Worlds Best Workplaces 2024 (Fortune Global Top 25) Great Place To Work in 24 countries and Glassdoor Best Places to Work 2024 to name a few. Check out Experian Life on social or our Careers Site and Glassdoor 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.

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.

Experian Careers - Creating a better tomorrow together

This is a hybrid remote/in-office role.

Experian Careers - Creating a better tomorrow together

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Remote Work :

No

Employment Type :

Full-time