AI Engineer (LLMs, Python)

Quick Facts

• AI Engineer role focused on LLMs and Generative AI backend development using Python.

Description

Build scalable AI systems including LLMs and GenAI under senior guidance, and help convert Data Science prototypes into production-ready solutions. You will design and implement backend components (e.g., FastAPI services) and support deployment and maintenance in cloud environments. Projects include using LLMs to transform technical documents into structured knowledge graphs, extracting information and relationships from document sets (e.g., automotive data), and building AI tools for software engineering workflows.

Responsibilities

• Support development of scalable AI systems (LLMs and GenAI)
• Transform Data Science prototypes into production-ready solutions
• Build and improve backend components using Python and FastAPI
• Ensure code quality and apply strong 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 cloud experience (AWS, GCP, Azure)
• Practical experience and strong interest in Data Science and Machine Learning

Benefits

• Supportive AI & Big Data team and growth-focused environment
• Work with international clients and projects across enterprises and startups
• Flexible work arrangements (remote or modern offices/coworking)
• Career paths, knowledge-sharing, language classes, and sponsored training/conferences (including Databricks and Anthropic)
• Medical and sports packages, eye care, and well-being support (psychotherapy and coaching)
• Full work equipment for productivity
• Onboarding with a dedicated buddy and an autonomous, friendly culture