AI & Data Engineer (GenAI & LLM Evaluation)

• Build and maintain scalable data pipelines and workflows.

• Develop evaluation frameworks for GenAI and LLM applications.

• Create and maintain golden datasets for model testing.

• Evaluate and benchmark LLM performance.

• Build ML-assisted tools to improve delivery and automation.

• Deploy production-ready AI solutions.

• Work closely with delivery teams to solve technical challenges.

• Continuously improve data quality, automation, and operational efficiency.

If you enjoy solving real-world problems and building practical AI solutions that make an impact, we’d love to hear from you.

Skills and experience required

Core skills

• 5+ years’ experience in Data Engineering, Machine Learning, AI Engineering, or Data Science.

• Strong Python and SQL skills.

• Hands-on experience with Generative AI and Large Language Models (LLMs).

• Experience evaluating LLMs using golden datasets, model benchmarking, or LLM-as-a-Judge techniques.

• Experience building and deploying production-ready ML solutions.

• Strong understanding of data pipelines, validation, and quality frameworks.

• Experience integrating APIs and cloud-based AI services.

Soft skills

• Strong problem-solving and analytical skills.

• Comfortable owning solutions end-to-end.

• Excellent communication and stakeholder management.

• Experience working in Agile, cross-functional teams.

• Consulting or customer-facing experience is a plus.