AI Engineer @ Addepto

🎯 What you’ll need to succeed in this role: At least 3+ years of commercial experience in software engineering with Python. Strong programming skills in Python: writing a clean code, OOP design. Hands-on experience with LLMs (Large Language Models) and Generative AI. A 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: A 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. Addepto is a leading AI consulting and data engineering company that builds scalable, ROI-focused AI solutions for some of the world’s largest enterprises and pioneering startups, including Rolls Royce, Continental, Porsche, ABB, and WGU. With our exclusive focus on Artificial Intelligence and Big Data, we help organizations unlock the full potential of their data through systems designed for measurable business impact and long-term growth.Beyond client projects, we have developed our own product offerings born from real-life client insights and challenges. We are also actively releasing open-source solutions to the community, transforming practical experience into tools that benefit the broader AI ecosystem. This commitment to scalable innovation, proven ROI delivery, and knowledge sharing has earned us recognition by Forbes as one of the top 10 AI consulting companies worldwide. We are looking for an ambitious and motivated AI Engineer with a solid software engineering background in Python. This is a great opportunity for someone who wants to grow their skills in the field of Generative AI and LLMs. You will work with an experienced team that supports professional growth and ensures every project is a learning opportunity. If you’re comfortable with backend development and have a keen interest in data science and frontend technologies, this is the perfect role for you. Here are some of the projects we are seeking talented individuals to join: An AI-powered platform for industrial engineering, where you will build a backend system that utilizes LLMs to transform complex technical documents into a structured knowledge graph. This work enables our clients to leverage advanced features such as semantic search, automated documentation, and smarter knowledge management. Implementation, deployment, and ongoing development of an automotive data solution, this includes the processing and analysis of various document types, with a strong focus on digital file formats. The core functionality involves extracting key information and identifying complex relationships between disparate data sources. The solution also features seamless integration with the client’s existing infrastructure. Development of AI solutions to support software engineering, this involves building a system for advanced analysis of source code repositories, seeking relationships based on files and documentation. It also includes creating a system of grammatical rules for unknown programming languages and automatically generating training content based on these rules. ,[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 enhancing backend components for advanced AI systems using Python and frameworks like FastAPI., Ensure code quality and implementing good software engineering practices., Participate in the deployment and maintenance of solutions in a cloud environment (GCP, AWS, Azure).] Requirements: Data science, AI, Python, Cloud, GenAI, LLM, Backend, CI/CD, AWS, Frontend, React, Node.js, Nest.js, TypeScript, AI Agents, Machine Learning Tools: Jira, GitLab, Agile, Scrum. Additionally: 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.