Python/AI Developer

2 недель назад

Дистанційно, Украина IT Craft YSA GmbH Полный рабочий день 120 000 ₴ - 250 000 ₴ в год

IT Craft invites a Python/AI Developer to join our team. We're looking for a specialist passionate about AI technologies, Large Language Models, and intelligent data processing. Your primary focus will be on developing and integrating AI-based solutions – from RAG systems and LLM integrations to API development and intelligent automation – contributing to projects across domains such as finance, healthcare, and knowledge management.

The role also involves experimenting with models, evaluating AI project requests during presale stages, and collaborating with backend and DevOps teams to deliver reliable, production-ready systems.

Requirements:

  • 3+ years of hands-on experience with Python 3.x and frameworks like FastAPI, Django, or Flask;
  • Solid understanding of LLMs (GPT, Claude, Mistral, Llama, etc.) and their API integrations;
  • Experience building RAG pipelines, chatbots, or AI agents using frameworks such as LangChain or LlamaIndex;
  • Familiarity with vector databases (FAISS, Pinecone, Milvus, pgVector) and embedding workflows;
  • Knowledge of model fine-tuning techniques (LoRA/QLoRA, SFT, RLHF);
  • Ability to integrate automation tools (n8n, Make, Zapier) into AI-driven workflows;
  • Practical use of Docker, Git, CI/CD, and testing best practices;
  • Strong communication, ownership, and collaboration skills;
  • At least an Upper Intermediate level of spoken and written English.

Key Responsibilities:

  • Develop and maintain Python-based AI systems, from data ingestion to inference APIs;
  • Build and optimize LLM workflows: RAG, fine-tuning, evaluation, and integration;
  • Create chatbots and intelligent agents capable of reasoning and tool invocation;
  • Work with vector databases for semantic search and retrieval optimization;
  • Connect AI components to automation platforms for scalable workflows;
  • Expose internal tools and actions via MCP servers for safe model interaction;
  • Ensure clean, test-driven code with proper CI/CD, monitoring, and logging;
  • Collaborate cross-functionally to deliver reliable, production-ready AI solutions.
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