AI Engineer

Quantori is seeking an AI Engineer to design and implement evaluation strategies for AI agents within the Databricks environment. The role involves applying data science methodologies to assess model performance, contribute to MLOps workflows, and deliver client demonstrations of AI solutions.

• Design and implement an evaluation strategy for AI agents within the Databricks environment
• Apply data science methodologies to assess model and agent performance, reliability, and business relevance
• Contribute to MLOps workflows supporting the development and deployment of AI agents
• Contribute to AI solution refinement through experimentation, validation, and optimization
• Prepare and deliver client demos, including presentation preparation, demo planning, and showcasing AI use cases
• Perform basic domain research (chemistry-related) to support demo preparation and solution demonstrations

• Strong Python engineering skills, including writing production-quality code and tests
• Experience building and integrating REST APIs (e.g., FastAPI/Flask) for AI services
• Practical experience with LLM agents / agentic workflows, including state management, tool/function calling, iterative execution, and output validation/guardrails
• Familiarity with core ML tooling (e.g., NumPy, scikit-learn, PyTorch)
• Experience working with data stores (SQL databases such as PostgreSQL/MySQL, object storage such as S3, and/or NoSQL)
• Working knowledge of MLOps / LLMOps: experiment tracking, versioning, CI/CD for AI workflows, and deployment/monitoring basics
• Experience designing evaluation and QA frameworks for LLM/agent outputs
• Hands-on experience building production LLM applications and agents (RAG, multi-step reasoning, tool/function calling, MCP)
• Experience working with Databricks and Docker
• English level B2+
• Nice to have: cheminformatics experience (RDKit) and healthcare or life sciences project experience

• Competitive compensation
• Remote or office work
• Flexible working hours
• Healthcare benefits: medical insurance and paid sick leave
• Continuous education, mentoring, and professional development programs
• Company-paid certifications