Generative AI Application Developer (Open to Graduates)

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.

Role Summary:

We are looking for a motivated Entry-level Generative AI Application Developer to join our team and help build AI-powered internal applications such as chatbots, copilots, and workflow automations. In this role, you will support senior engineers in developing generative AI applications that integrate with Experian’s internal systems and APIs, using modern Python frameworks and large language models. This is a great opportunity for someone passionate about generative AI, eager to learn, and looking to build a career in AI application development.

Work that matters - What you’ll be doing 

• Help develop, and test internal generative AI applications, including chatbots, assistants, and automations that support teams across the company.
• Implement and maintain Python-based backends and APIs that connect AI applications to internal services, data sources, and business workflows.
• Use frameworks such as LangChain, LlamaIndex, and OpenAI Agents / Assistants SDK to orchestrate prompts, tools, and agents.
• Contribute to retrieval-augmented generation (RAG) pipelines (e.g., indexing internal documents, configuring retrievers, and wiring them into LLM flows) – as a strong plus, not a prerequisite
• Help document application architectures, workflows, and technical decisions in a clear and structured way for both technical and non-technical audiences.
• Participate in testing and evaluating AI applications to ensure they are robust, aligned to business requirements, and safe to use (including checking prompts, guardrails, and failure modes).
• Collaborate closely with product teams and business stakeholders to understand internal use cases and translate them into practical AI-powered solutions.

Why this role is important to us:

This role is vital to us because it supports our commitment to safely and effectively adopting Generative AI across the organization. By joining our team, you will gain hands-on experience building real internal AI applications that will improve productivity and decision-making for our colleagues. You will work alongside experienced engineers who will mentor you in modern AI application design, APIs, cloud deployment, and good software engineering practices. Over time, this role provides a strong foundation to grow into a mid-level or senior Generative AI Application Developer, with a deep understanding of how to build reliable, secure, and impactful AI solutions on a scale. Your contributions will directly influence how we use Generative AI to simplify workflows, automate repetitive tasks, and unlock new value from our data and systems.

More About You:

• A Bachelor’s degree (or final-year student) in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field.
• 0–1 years of experience in software development (internships, projects, or coursework are acceptable).
• Solid programming skills in Python, including working with virtual environments, packages, and basic debugging.
• Basic understanding of generative AI concepts, such as LLMs, prompts, tokens, and model limitations (hallucinations, bias, etc.).
• Familiarity with at least one Python-based generative AI application framework, for example: LangChain, LlamaIndex, OpenAI Agents / Assistants SDK, or similar agent/orchestration frameworks.
• General understanding of how tools, plugins, or Model Context Protocol (MCP)–style connectors enable AI agents to interact with external systems (training will be provided, but curiosity here is important).
• Fundamental understanding of how applications and APIs work, including: calling REST/HTTP APIs (JSON, authentication, error handling) and structuring simple backend services or scripts (ex: FastAPI).
• Exposure to AI/ML or data libraries such as openai, transformers, pydantic, or similar is a plus.
• Some exposure to databases (e.g., SQL Server, PostgreSQL) is an advantage, but not a strict requirement.
• Some exposure to cloud platforms (AWS, GCP, or Azure) is a plus.

Our uniqueness is that we celebrate yours. Experian's 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. Experian's people first approach is award-winning; World's Best Workplaces™ 2024 (Fortune 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 to understand why.

Experian is proud to be an Equal Opportunity and Affirmative Action employer. Innovation is an important 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, colour, 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

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