Senior Python AI/ML Developer

Quantori is transforming life sciences and healthcare with the power of digital IT. We develop intelligent solutions that provide insights to help our partners make data-driven decisions that innovate drug development and improve patient care. With deep domain knowledge, Quantori combines Advanced Data Analytics, Scientific Knowledge Management, and Best-in-Class Software Engineering to speed up time to market and improve the agility of the research process.Responsibilities:Ability to collaborate closely with machine learning engineers and data scientists to refine AI models, develop robust model embeddings, and optimize prompts for accuracy, performance, and cost-efficiencyDevelop and optimize AI agent systems, including multi-agent orchestration and tool integrationImplement and iterate on RAG pipelines, evaluation frameworks, and LLM-powered data processing solutionsMaintain and enhance applications and solutions on PythonWhat we expect:A solid knowledge of Python, with experience in writing clean, efficient, and maintainable codeAbility to design and develop autonomous agents using frameworks such as LangGraph/CrewAI/OpenAI Agents SDK, enabling intelligent decision-making and task automationExperience in rapid prototyping using large language models (LLMs), vector databases, and knowledge graphs to explore and implement new AI-driven capabilitiesExpertise in retrieval-augmented generation (RAG) workflows and document retrieval techniques to enhance content relevanceHands-on experience working with large-scale language models, such as GPT/Claude/Gemini/Qwen, along with a solid understanding of prompt engineering, embedding techniquesFamiliarity with the Model Context Protocol (MCP) for connecting LLM agents to external tools and data sourcesExperience in rapid prototyping of AI-driven capabilities using LLMs, embeddings, and structured/unstructured data sourcesExperience with code generation and AI-assisted development tools (Claude Code, GitHub Copilot, Cursor, Codex)Strong written and spoken English communication skills (B2)Nice to have:Experience with Python frameworks such as Django, Flask, or FastAPIProficiency in SQL for working with structured databases, querying data, and optimizing database performanceFamiliarity with platforms Dataiku, Snowflake, Tableau, Streamlit, Artifactory, dbtHands-on experience with NLP deep learning frameworks such as PyTorch, TensorFlow, and TransformersFamiliarity with graph RAG approaches (Microsoft GraphRAG, LightRAG, or Neo4j-based solutions)Understanding AI cost optimization: model routing, caching strategies (semantic caching), prompt compression, and token managementWe offer:Competitive compensationRemote or office workFlexible working hoursA team with excellent tech expertise