Generative AI Engineer, Data Engineering

About the Role

The Generative AI Engineer – Data Engineering role at Trusys is a full-time, on-site position based in Gurugram. This role involves designing, building, and maintaining data pipelines that power generative AI models and evaluation systems, including ingestion, transformation, and storage of structured and unstructured data. The engineer will collaborate with AI researchers and product teams to integrate data workflows with LLM endpoints, RAG pipelines, and monitoring tools, ensuring performance, reliability, and compliance.

Key Responsibilities

• Design, build, and maintain data pipelines for generative AI models and evaluation systems.
• Manage ingestion, transformation, and storage of structured and unstructured data.
• Collaborate with AI researchers and product teams to integrate data workflows with LLM endpoints, RAG pipelines, and monitoring tools.
• Implement scalable data architectures.
• Optimize data for training and inference.
• Build automation for quality checks.
• Troubleshoot issues in production environments.
• Document data processes.
• Contribute to internal tools and frameworks.
• Participate in code reviews and cross-functional planning.

Requirements & Tech Stack

• Python
• SQL
• Modern data frameworks or libraries
• Cloud platforms
• Data infrastructure tools (e.g., data warehouses, distributed storage, orchestration frameworks, workflow schedulers)

Qualifications

• Strong data engineering skills, including experience with data pipelines, ETL/ELT processes, and working with large-scale structured and unstructured datasets.
• Proficiency in programming languages commonly used for data and AI (e.g., Python, SQL).
• Familiarity with modern data frameworks or libraries.
• Understanding of generative AI concepts, LLMs, RAG architectures, and model evaluation workflows.
• Ability to collaborate closely with ML engineers and researchers.
• Experience with cloud platforms and data infrastructure tools (such as data warehouses, distributed storage, orchestration frameworks, or workflow schedulers).
• Knowledge of AI safety, governance, or compliance considerations.
• Interest in aligning data systems with industry standards and regulatory frameworks.
• Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Technology, or a related technical field, or equivalent practical experience.
• Ability to work on-site in Gurugram.
• Ability to collaborate in cross-functional teams.
• Ability to communicate clearly.
• Ability to take ownership of end-to-end technical deliverables.
• Experience in high-growth or startup environments is a plus.
• Prior work on production AI or analytics platforms is a plus.