Experian - Automation Engineer - Generative AI & Agentic AI

Note : If shortlisted, you will be invited for initial rounds on 8th November'25 (Saturday) in Hyderabad

We are seeking an Automation Engineer with a passion for automation and modern AI / GenAI / Agentic technologies. You will use your programming expertise and knowledge of AI / GenAI / Agentic to build and optimize automation workflows for our business :

• Develop Automation Workflows : Design, implement, and maintain automation scripts and tools (primarily in Python) to streamline operational processes (e.g. customer onboarding, transaction processing, reporting).
• Integrate AI and LLMs : Leverage generative AI and LLM capabilities to enhance automation. This includes calling OpenAI APIs or similar services to build intelligent features such as document processing, content generation, or decision support within workflows.
• Agentic Automation Solutions : Create and deploy agent-based automation (utilizing frameworks like LangChain, CrewAI or custom agents) that can perform multi-step tasks with minimal human intervention.
• Data Retrieval and RAG : Implement retrieval-augmented generation techniques when needed such as using vector databases to store and retrieve embeddings so that AI models have access to relevant data (e.g. knowledge bases or transaction history) for more accurate and context-aware outputs.
• Testing and Optimization : Rigorously test automation workflows to ensure reliability, accuracy, and security. Debug issues and optimize performance of scripts or AI components (e.g. fine-tune prompts or adjust logic for better results).
• Documentation : Document the design, steps, and usage of automation workflows clearly. Provide user guides or runbooks for automated processes to ensure maintainability and knowledge sharing within the :
• Bachelor's or master's degree in computer science, Software Engineering, or a related field with
• You should have overall experience of 5 yrs and 1-2 yrs experience in GenAI / AI / Agentic automation.
• AI / ML Tools : Familiarity with additional AI and data tools such as TensorFlow / PyTorch (for any ML model work), Pandas or SQL (for data manipulation and analysis in automation), or prompt engineering techniques to fine-tune AI behavior.
• AI / Generative AI : Knowledge of generative AI and LLMs. Hands-on experience using the OpenAI API (or similar AI / ML APIs) to build applications or prototypes.
• Agentic AI Frameworks : Exposure and deep understanding of Agentic AI and to frameworks like LangChain, CrewAI (or similar libraries for building AI-driven applications).
• Ability to design multi-step AI workflows or chains, prompt engineering, Evals, and integrate pre-built AI components into larger processes.
• Vector Databases & RAG : Good understanding of vector databases (LlamaIndex, ADA, FAISS, etc.) and Retrieval Augmented Generation (RAG) concepts.
• You will be reporting to a Senior Manager

(ref : hirist.tech)