Senior Python AI/ML Developer

Quantori

Deutschland

Vor Ort

EUR 60.000 - 80.000

Vollzeit

14 Tage+

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Benefits dieser Stelle

Competitive compensation
Remote or office work
Excellent tech expertise

Zusammenfassung

Quantori is seeking a skilled AI Developer to work closely with machine learning engineers to optimize AI models and create efficient solutions. The role involves developing AI agent systems, implementing RAG pipelines, and enhancing applications using Python.

Ideal candidates will have strong Python skills, experience with large language models, and the ability to design autonomous agents. We offer competitive compensation with the flexibility of remote or office work.

Qualifikationen

  • Solid knowledge of Python and experience in writing clean, efficient code.
  • Ability to design and develop autonomous agents using AI frameworks.
  • Experience with large language models and rapid prototyping.

Aufgaben

  • Collaborate with machine learning engineers on AI models.
  • Develop and optimize AI agent systems and pipelines.
  • Maintain applications and solutions using Python.

Kenntnisse

Python programming
AI and ML frameworks
Prompt engineering
English communication skills (B2)
SQL proficiency

Tools

Django
PyTorch
Tableau

Jobbeschreibung

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
  • A team with excellent tech expertise
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