Senior Python AI/ML Developer
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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-efficiency
- Develop and optimize AI agent systems, including multi-agent orchestration and tool integration
- Implement and iterate on RAG pipelines, evaluation frameworks, and LLM-powered data processing solutions
- Maintain and enhance applications and solutions on PythonWhat we expect:
- A solid knowledge of Python, with experience in writing clean, efficient, and maintainable code
- Ability to design and develop autonomous agents using frameworks such as LangGraph/CrewAI/OpenAI Agents SDK, enabling intelligent decision-making and task automation
- Experience in rapid prototyping using large language models (LLMs), vector databases, and knowledge graphs to explore and implement new AI-driven capabilities
- Expertise in retrieval-augmented generation (RAG) workflows and document retrieval techniques to enhance content relevance
- Hands-on experience working with large-scale language models, such as GPT/Claude/Gemini/Qwen, along with a solid understanding of prompt engineering, embedding techniques
Familiarity 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 performance
- Familiarity with platforms Dataiku, Snowflake, Tableau, Streamlit, Artifactory, dbt
- Hands-on experience with NLP deep learning frameworks such as PyTorch, TensorFlow, and Transformers
- Familiarity 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 management
- We offer:
- Competitive compensation
- Remote or office work
- Flexible working hours
- A team with excellent tech expertise