AIML Engineer

Role: GenAI / ML Engineer – Business AI Team
Experience: Senior | Domain: GenAI, LLMOps, Applied ML

About the Role
Join a specialized, business-facing AI team building production-grade GenAI applications. Work cross-functionally with product, engineering, and developer relations to shape strategic AI priorities and ship first-of-its-kind AI products.

Key Responsibilities

• Develop GenAI solutions using cutting-edge Mosaic AI research to solve real business problems
• Own end-to-end production rollout of consumer-facing and internal GenAI applications
• Collaborate with product and engineering to influence roadmap and priorities

Requirements

• Hands-on experience building GenAI applications — RAG, multi-agent systems, Text2SQL, fine-tuning — using HuggingFace, LangChain, DSPy
• Proven expertise deploying production-grade GenAI apps, including evaluation and optimization
• Strong industry experience with core ML/DS stack — pandas, scikit-learn, PyTorch
• Experience deploying production ML systems on AWS, Azure, or GCP
• Graduate degree in Computer Science or equivalent practical experience
• Fluency in English; willingness to work across time zones

Preferred

• Experience with Databricks Intelligence Platform and Apache Spark for large-scale data processing
• Ability to communicate technical concepts to non-technical stakeholders
• Understanding of Pharma Quality Standards and Practices