описание
Quantori develops digital IT solutions for life sciences and healthcare, helping partners make data-driven decisions that advance drug development and improve patient care. It combines advanced data analytics, scientific knowledge management, and software engineering to accelerate research processes.
задачи
- Collaborate with machine learning engineers and data scientists to refine AI models, develop 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 Python applications and solutions
требования
- Strong knowledge of Python and experience writing clean, efficient, maintainable code
- Ability to design and develop autonomous agents using frameworks such as LangGraph, CrewAI, or OpenAI Agents SDK
- Experience rapidly prototyping with LLMs, vector databases, and knowledge graphs
- Expertise in RAG workflows and document retrieval techniques
- Hands-on experience with large language models such as GPT, Claude, Gemini, or Qwen, and understanding of prompt engineering and embedding techniques
- Familiarity with Model Context Protocol (MCP)
- Experience prototyping AI capabilities using LLMs, embeddings, and structured or unstructured data sources
- Experience with code generation and AI-assisted development tools such as Claude Code, GitHub Copilot, Cursor, or Codex
- Strong written and spoken English (B2)
- Будет плюсом: Python frameworks such as Django, Flask, or FastAPI, SQL, Dataiku, Snowflake, Tableau, Streamlit, Artifactory, dbt, PyTorch, TensorFlow, Transformers, graph RAG approaches, AI cost optimization
условия
- Competitive compensation
- Flexible working hours
навыки
компания
Digital IT company for life sciences, data science и scientific software.