Applied Gen AI Engineer

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.

What you will do

• 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.