AI Engineer (GCP)

O projekcie: 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 (GCP) 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: - LLM usage analytics and optimization platform. This project focuses on collecting and analyzing data related to LLM token usage, including forecasting, anomaly detection, and monitoring AI consumption patterns to improve operational efficiency and cost optimization on GCP. Wymagania: 🎯 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. - Experience in collecting, analyzing, and monitoring LLM usage data, including token consumption, forecasting, anomaly detection, and optimization of AI workloads. - 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 (GCP). ✚ 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. Codzienne zadania: - 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).