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.

Location:

Quantori is an international team: we have colleagues who work not only from office but also remotely from all over the world.

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 Python

What 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 sources
• Experience in rapid prototyping of AI-driven capabilities using LLMs, embeddings, and structured/unstructured data sources
• Experience 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 FastAPI
• Proficiency 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

If you don't see an open position that suits your skills stack and/or professional background but you are interested in working with us — please send your CV to recruiter contact. We will try to find something special and interesting for you!