Senior Python AI/ML Developer

Workplace: remote 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