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-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