AI Engineer

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.