-
emagine

AI Engineer

emagine
Poland · Full-time · Not Applicable

Information about the project:

  • Industry: pharma
  • Location: remote (Warsaw)
  • Rate: 200-230 pln/h net + VAT, B2B
  • Long-term cooperation

Summary: The AI Engineer for Conversational Data Intelligence will develop a platform that enables business users to query complex data with plain language, significantly enhancing data accessibility within the company.

Responsibilities:

  • Design and implement multi-agent AI systems using Python.
  • Address challenges related to natural language to SQL generation, including ambiguities and self-correction.
  • Develop context-aware systems, building robust pipelines for RAG processing.
  • Implement automated testing and feedback systems to ensure continuous improvement of AI products.
  • Create reusable frameworks and components, contributing to the overall architectural decisions of the team.

Must Haves:

  • Strong production-grade Python engineering skills.
  • Hands-on experience with multi-agent AI frameworks (e.g., LangGraph, LangChain, Pydantic AI).
  • Experience in building RAG pipelines for structured/unstructured data.
  • Deep understanding of Text-to-SQL solutions.
  • Strong API development (e.g., FastAPI).
  • Proficiency with Azure and/or AWS cloud services.
  • Experience with AI observability and automated testing frameworks.
  • Familiarity with Databricks and relational/vector databases.
  • Strong problem-solving and practical engineering mindset.
  • Fluent in English, both written & spoken.

Nice to Haves:

  • Hands-on experience with Databricks features.
  • Experience in LLM context and prompt engineering.
  • Knowledge of Model Context Protocol for integration.
  • Understanding of CI/CD principles and Infrastructure as Code.
  • Knowledge of data management concepts for enterprise data.

Key Skills

Ranked by relevance

ai sql python cloud cicd aws
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Posted
Apr 08, 2026
Type
Full-time
Level
Not Applicable
Location
Poland
Company
emagine

Industries

IT Services IT Consulting

Categories

Engineering Information Technology

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