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AI/ML Engineer

📅 Jan 14
AI SolutionsLLM ArchitecturesRAGEmbeddings

📜 Description

  • Build internal AI solutions from the ground up, from architecture to production.
  • Transform business requests into effective LLM architectures (RAG, embeddings, vector search).
  • Establish a scalable AI infrastructure that grows with the business.
  • Work closely with the CTO to influence technical product strategy and make quick decisions.

🛠️ Requirements

  • 1+ years of experience in developing and integrating AI/LLM solutions.
  • Experience implementing RAG, embedding processes, or configuring vector databases.
  • Familiarity with LLM, prompt engineering, and context management.
  • Proficient in Python and/or JavaScript.
  • Experience with LangChain, PydanticAI, LlamaIndex, or similar frameworks.
  • Worked with automation/orchestration platforms like N8N or Diffy.
  • Knowledge of classical ML algorithms (Regression, Tree-based, Clustering).
  • Understanding of MLOps, CI/CD, and containerization.

Benefits

  • Flexible work format with options to work from Kyiv, Lviv, Warsaw, or remote.
  • Support for physical and mental well-being through wellness programs.
  • 20 paid vacation days
  • Unlimited sick leave
  • Sabbatical leave options
  • Budget for professional development, mentorship, and participation in top conferences.
LangChain

Deployed Engineer, Professional Services

LangChain👥 1001 - 5000 employees🏢 Technology, Information And Internet🤝 B2B
🕒 yesterday

As a Deployed Engineer on the Professional Services team, you'll work with enterprise customers to design and build reliable production agents, translating workflows into actionable software specifications.

PythonTypeScriptJavaScriptLangchain

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