AI Dev 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.

Description

The AI Dev Engineer develops and improving Agentic AI solutions deployed across Experian's ecosystem. You will ensure that AI agents (i.e. CrewAI), GenAI workflows, and RPA/automation components operate reliably at scale, meeting performance, quality, and compliance expectations.

Development and Testing

• Develop, test, and deploy AI/ML models and services for real‑world applications.
• Build data pipelines, integrate APIs, and implement MLOps practices for smooth production workflows.
• Collaborate with product, data, and engineering teams to provide end‑to‑end AI solutions.

Operational Support & Troubleshooting

• Monitor the performance, reliability, and behavior of Agentic AI solutions across production and non-production environments.
• Resolve incidents involving LLM outputs, agent flows, RPA steps, API integrations, or orchestration failures.
• Support incident response, root cause analysis, and documentation of corrective actions.
• Provide frontline technical support to business teams and internal users of AI-driven workflows.

Maintenance, Optimization, & Continuous Improvement

• Review logs, telemetry, and metrics to identify issues and performance bottlenecks.
• Recommend improvements to prompts, context structures, workflow orchestration, and automation logic.
• Maintain documentation on operational guides, troubleshooting guides, and system behavior expectations.

Deployment & Release Support

• Support deployments of new AI agents, MCP tool definitions, updates to prompts, and workflow changes.
• Participate in regression testing and environmental validation to ensure continuity across teams.
• Contribute to automated testing and runbooks for sustainable operations.

Collaboration & Partner Interaction

• Work with AI Engineers, RPA teams, Operational Excellence, Product Owners, and Security to ensure end-to-end solution stability.
• Participate in Agile ceremonies including standups, backlog grooming, sprint planning, and retrospectives to ensure operational needs and system reliability are represented.

MCP (Model Context Protocol) Support

• Understand and maintain basic MCP tool definitions used in agent workflows.
• Troubleshoot issues involving MCP-based interactions such as schema mismatches or context failures.
• You will report to a Senior Manager
• We require you to WFO 2 days a week, as they implement Hybrid working from Hyderabad.

Qualifications

• B E/ BTECH

• ME/MTECH/MCA
• We require you to have 3 to 6 or more years of experience in technical support, DevOps, automation support, software maintenance, or similar operational roles.
• You need to have familiarity with AI, LLM-based systems, or automation workflows (RPA, APIs, event-driven logic).
• Working knowledge of Python, PowerShell, or similar scripting languages for diagnostics and automation.
• Understanding of APIs, integrations, and common troubleshooting techniques.

Preferred Skills

• Experience supporting LLM/GenAI applications or automation platforms (CrewAI, UiPath, Automation Anywhere, Airflow, LangChain).
• Understanding of cloud environments (AWS, Azure, GCP) and monitoring tools.
• Familiarity with observability practices (metrics, tracing, logs, alerts).
• Experience operating within Agile delivery teams and applying Agile practices in support and maintenance workflows.

Additional Information

Our uniqueness is that we truly celebrate yours. Experian's 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. Experian's 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 Experian's 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 employee's work life balance, health, safety and wellbeing. In 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

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

Client-provided location(s): Hyderabad, India

Job ID: Experian-744000109247121

Employment Type: FULL_TIME

Posted: 2026-02-14T18:36:56