Senior AI Engineer (LLMs, Python)

Addepto is a leading AI consulting and data engineering company that builds scalable, ROI-focused AI solutions for large enterprises and startups, including Rolls Royce, Continental, Porsche, ABB, and WGU. The company focuses exclusively on Artificial Intelligence and Big Data, helping organizations unlock the potential of their data through systems designed for measurable business impact and long-term growth. Addepto has developed its own product, ContextClue, and contributes open-source solutions to the AI community. It is recognized by Forbes as one of the top 10 AI consulting companies worldwide. Addepto is part of KMS Technology, a US-based global technology group, combining AI specialization with enterprise-scale delivery capabilities.

• At least 5+ years of commercial experience in software engineering with Python.
• Strong programming skills in Python: writing clean code, OOP design.
• Hands-on experience with LLMs (Large Language Models) 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 a cloud environment (AWS, GCP, Azure).

Nice to have:

• Personal project or practical experience with frontend frameworks (e.g., React, Node.js, Nest.js, Typescript).
• Practical experience and strong interest in Data Science and Machine Learning.
• Curiosity about the latest trends in GenAI, including Intelligent Document Processing, Embeddings, Vector Databases, and OpenSource LLMs.

• Support the development of scalable AI systems, including LLMs and GenAI, under the guidance of senior engineers.
• 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 implement good software engineering practices.
• Participate in the deployment and maintenance of solutions in a cloud environment (GCP, AWS, Azure).

• Private healthcare
• Multisport card
• Referral bonus
• MyBenefit cafeteria
• International projects
• Flat structure
• Paid leave
• Training budget
• Language classes
• Team building events
• Small teams
• Flexible form of employment
• Flexible working hours and remote work possibility
• Sport subscription
• Free coffee
• Shower
• Startup atmosphere
• No dress code
• In-house trainings