AI Engineer

The project is in the pharmaceutical industry and involves developing a platform for Conversational Data Intelligence to enable business users to query complex data with plain language, enhancing data accessibility within the company.

• 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 skills (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 and spoken.

Nice to have:

• 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.

• 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.