Senior AI Engineer - Python and RAG

Summary

The primary objective of the Senior AI Engineer role is to enhance the AI capabilities of the GenAI team by advancing the existing Retrieval-Augmented Generation (RAG) engine and implementing complex agent solutions.

• Location: Remote (occasional trips to Denmark possible, but not required).

• Contract: 6 months with extension

• Start Date: Flexible – preferable up to one month notice period

• Salary: 180-200 zł/h

Main Responsibilities:

The Senior AI Engineer will primarily focus on the RAG engine and agent solutions, including agent-to-agent orchestration.

• Enhance the RAG engine across various stages:

  • Ingestion: Creating robust pipelines for chunking, metadata enrichment, deduplication, and idempotent updates.

  • Retrieval: Developing high-quality search mechanisms involving query rewriting, hybrid retrieval, multi-hop, and re-ranking strategies.

  • Evaluation: Establishing systematic measurement processes using ground-truth datasets to assess RAGAS metrics such as accuracy, latency, and coverage.

• Build and improve GenAI agents tailored for real-world applications.

• Implement scalable solutions utilizing Python within the Microsoft Azure ecosystem.

• Apply agent frameworks, specifically LangGraph and Langfuse, in production environments.

• Collaborate with data scientists on machine learning and large language models (ML/LLM) tasks.

• Contribute to overall architecture, robustness, and best practices for deployment.

Key Requirements:

• Strong background in Python software engineering.

• Demonstrated experience with RAG involving ingestion, retrieval, and evaluation in production settings.

• Hands-on experience with Docker and containerized deployment.

• Proficient with FastAPI, emphasizing best practices for building and maintaining REST APIs.

• Experience with Model Context Protocol (MCP), focusing on development and integration of MCP servers and clients.

• Familiarity with Azure services (OpenAI, AI Search, Functions, etc.).

• Proven capability to develop and maintain solutions in production environments.

• Strong knowledge of frameworks like LangGraph (for agents) and Langfuse (for observability).

Nice to Have:

• Experience with Kubernetes.

• Familiarity with Databricks.