Addepto is a leading AI consulting (addepto.com/ai-consulting/) and data engineering (addepto.com/data-engineering-services/) 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 an exclusive focus on Artificial Intelligence and Big Data, Addepto helps organizations unlock the full potential of their data through systems designed for measurable business impact and long-term growth.

The company's work extends beyond client engagements. Drawing from real-world challenges and insights, Addepto has developed its own product - ContextClue - and actively contributes open-source solutions to the AI community. This commitment to transforming practical experience into scalable innovation has earned Addepto recognition by Forbes as one of the top 10 AI consulting companies worldwide.

As part of KMS Technology, a US-based global technology group, Addepto combines deep AI specialization with enterprise-scale delivery capabilities—enabling the partnership to move clients from AI experimentation to production impact, securely and at scale.
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.

Important: Addepto may publish job opportunities on external job boards, but all applications are collected and processed through our official recruitment system: Recruitee
addepto.recruitee.com

Please make sure that any further recruitment communication you receive comes from an official Addepto recruitment channel. If you receive a job offer, interview invitation, or recruitment email from an unofficial or unverified source, please be cautious, as it may not come from 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.

17 openings across locations