AI Engineer (LLMs, Python)

Addepto is a leading AI consulting and data engineering company that builds scalable AI solutions for major enterprises and startups, including Rolls Royce, Continental, Porsche, ABB, and WGU. It focuses exclusively on Artificial Intelligence and Big Data to help organizations unlock data potential with measurable business impact. Addepto is part of KMS Technology, a global technology group, combining AI specialization with enterprise delivery capabilities. The company also develops its own product, ContextClue, and actively contributes open-source AI solutions, recognized by Forbes as a top 10 AI consulting company worldwide.

• At least 3+ years of commercial experience in software engineering with Python.
• Strong programming skills in Python, including clean code and 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 cloud environments such as AWS, GCP, or Azure.

Nice to have:

• Personal projects or practical experience with frontend frameworks like React, Node.js, Nest.js, and TypeScript.
• Practical experience and strong interest in Data Science and Machine Learning.
• Curiosity about latest GenAI trends including Intelligent Document Processing, Embeddings, Vector Databases, and OpenSource LLMs.

• Support the development of scalable AI systems, including LLMs and Generative AI, under senior engineer guidance.
• 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 deployment and maintenance of solutions in cloud environments such as GCP, AWS, and Azure.

Here are some of the projects:

• An AI-powered platform for industrial engineering backend to transform complex technical documents into a structured knowledge graph enabling semantic search and automated documentation.
• Implementation, deployment, and ongoing development of an automotive data solution processing diverse document types and integrating with existing client infrastructure.
• Development of AI solutions to support software engineering by analyzing source code repositories, creating grammatical rules for unknown languages, and generating training content automatically.