AI Engineer

As an AI Engineer at RevoData, you will design and build AI solutions that solve real business problems. You combine strong technical skills with curiosity and pragmatism, and you enjoy bridging the gap between experimentation and production.

You are a builder equally comfortable in the early and final stages of AI—the space between a cool demo and a robust, production-ready system. You specialize in building AI systems that run in the real world, with experience across the full lifecycle from early experimentation to deployment and monitoring.

Key responsibilities:

• Develop production-grade GenAI applications, including RAG architectures, agentic workflows and fine-tuning
• Work with Databricks Data Intelligence Platform (PySpark, SQL, Delta Lake, Unity Catalog, MLflow)
• Implement LLMOps & MLOps best practices with experiment tracking, model versioning and monitoring
• Scale training and inference pipelines for production environments
• Work with clients: translate technical roadmaps from vague business challenges and lead projects from scoping to delivery
• Evaluation-driven development: establish baselines, define metrics and iterate with measurable results