Senior Full Stack AI Engineer

Overview

Job Description

Responsibilities

• - Design and implement end-to-end RAG pipelines, from ingestion to structured output generation, leveraging FastAPI for robust backend services.
• - Develop hybrid retrieval patterns combining vector search (Qdrant, Azure AI Search) with BM25 sparse retrieval and metadata filtering.
• - Engineer robust document processing workflows using PyMuPDF for PDF extraction and Tesseract for OCR, optimizing for legal/financial documents.
• - Build and maintain internal tools and demo applications using Streamlit to support rapid prototyping and stakeholder engagement.
• - Contribute to the existing Node.js and React frontend components, ensuring seamless integration with Python APIs and end-to-end reliability.
• - Drive strong engineering hygiene by implementing unit/integration tests, containerizing services with Docker, and utilizing Git for reproducible configurations.

Required Skills

• - Minimum 5-8 years of experience in Python 3.12+, with strong OOP and clean architecture principles.
• - Proven experience with FastAPI, asynchronous processing (Celery, messaging), and relational databases like PostgreSQL.
• - Expertise in RAG architecture, prompt engineering with versioning, OpenAI API, and hybrid retrieval techniques.
• - Hands-on experience with vector databases like Qdrant and search services such as Azure AI Search.
• - Proficiency in document processing tools like PyMuPDF and Tesseract, and sophisticated chunking strategies.
• - Experience building interactive internal tools with Streamlit and data reporting using pandas, NumPy, and openpyxl.
• - Basic to intermediate skills in Node.js and React for integration and maintenance.

Benefits

• - Attractive salary
• - Large freedom and real influence
• - No unhealthy competition, team approach to meeting challenges
• - Remote-first, flexible working culture
• - Company apartments in cool cities across Europe: work and enjoy a memorable getaway