AI Engineer (LLMs, Python)

Quick Facts

• Role: AI Engineer (LLMs, Python)

Description

You will build scalable generative AI and LLM-based backend systems in Python, turning Data Science prototypes into production-ready solutions. Responsibilities include developing LLM-powered services such as transforming technical documents into structured knowledge graphs, building automotive document processing pipelines, and creating systems for advanced analysis of software repositories. The role also involves deployment and maintenance in cloud environments while ensuring code quality and good engineering practices.

Responsibilities

• Support development of scalable AI systems (LLMs and GenAI)

• Assist in transforming Data Science prototypes into production-ready solutions

• Build and enhance backend components for advanced AI systems using Python and frameworks like FastAPI

• Ensure code quality and follow good software engineering practices

• Participate in deployment and maintenance in cloud environments (GCP, AWS, Azure)

Requirements

• At least 3+ years of commercial software engineering experience with Python

• Strong Python programming skills (clean code, OOP design)

• Hands-on commercial experience with LLMs and Generative AI

• Solid understanding of software design principles

• Experience with backend frameworks (e.g., FastAPI) and databases (SQL/NoSQL)

• Familiarity with Docker, Git, and basic CI/CD concepts

• Practical experience working in cloud environments (AWS, GCP, Azure)

• Practical experience and strong interest in Data Science and Machine Learning

Benefits

• Supportive AI & Big Data team

• Work with global enterprises and cutting-edge startups

• Flexible work: remote or modern offices/coworking spaces

• Career paths, knowledge-sharing, language classes, and sponsored training/conferences (incl. Databricks and Anthropic)

• Team-building events and integration budget

• Medical and sports packages, eye care, and well-being support (psychotherapy and coaching)

• Full work equipment (including laptop and necessary devices)

• Opportunities to boost personal brand via conferences, blog, and meetups

• Smooth onboarding with a dedicated buddy