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AI Engineer (Python, LLMs)

Addepto•Białystok, podlaskie
Full-timeMid Level
👁️ 0 views•📝 0 applications•Posted 9/25/2026•Expires 10/27/2026
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Job Description

AI Engineer (Python, LLMs) Miejsce pracy: Białystok Technologies we use Expected • Python • Docker • Git • LLM • GenerativeAI • AI • CI/CD • Backend • Machine Learning • Data Science Optional • React.js • Node.js • Nest.js • TypeScript • Full-stack • MLOps Operating system • Windows • macOS About the project 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. This is how we organize our work This is how we work • in house • you focus on a single project at a time • you can change the project • you have influence on the choice of tools and technologies • you have influence on the technological solutions applied • you have influence on the product • you develop the code "from scratch" • you focus on product development • agile • scrum Team members • technical leader • big data developer • data scientist • project manager Your responsibilities • 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). Our requirements • 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). • Practical experience and strong interest in Data Science and Machine Learning. Optional • A personal project or practical experience with frontend frameworks (e.g., React, Node.js, Nest.js, Typescript). • Curiosity about the latest trends in GenAI, including Intelligent Document Processing, Embeddings, Vector Databases and OpenSource LLMs. What we offer • Work in a supportive team of passionate enthusiasts of AI & Big Data. • Engage with top-tier global enterprises and cutting-edge startups on international projects. • Enjoy flexible work arrangements, allowing you to work remotely or from modern offices and coworking spaces. • Accelerate your professional growth through career paths, knowledge-sharing initiatives, language classes, and sponsored training or conferences, including partnerships with Databricks and Anthropic, which offer industry-leading training materials and certifications. • Participate in team-building events and utilize the integration budget. • Celebrate work anniversaries, birthdays, and milestones. • Access medical and sports packages, eye care, and well-being support services, including psychotherapy and coaching. • Get full work equipment for optimal productivity, including a laptop and other necessary devices. • With our backing, you can boost your personal brand by speaking at conferences, writing for our blog, or participating in meetups. • Experience a smooth onboarding with a dedicated buddy, and start your journey in our friendly, supportive, and autonomous culture. Development opportunities we offer • assistance in preparation to public speeches • conferences abroad • conferences in Poland • development budget • external training • industry-specific e-learning platforms • intracompany training • soft skills training • substantive support from technological leaders • support of IT events • technical knowledge exchange within the company • time for development of your ideas Benefits • sharing the costs of sports activities • private medical care • sharing the costs of foreign language classes • sharing the costs of professional training & courses • remote work opportunities • flexible working time • fruits • integration events • no dress code • video games at work • coffee / tea • drinks • christmas gifts • birthday celebration • employee referral program • charity initiatives • Reimbursement for prescription glasses or contact lenses Recruitment stages • Let's get to know each other (45 min) • Technical Interview (1 h) • Management Interview (1 h) Important: Addepto may publish job opportunities on external job boards, but all applications are collected and processed through our official recruitment system: Recruitee https://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. Addepto Addepto is a leading AI consulting (https://addepto.com/ai-consulting/) and data engineering (https://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. Klikając w przycisk „Aplikuj” lub w inny sposób wysyłając zgłoszenie rekrutacyjne, zgadzasz się na przetwarzanie Twoich danych osobowych przez ADDEPTO sp. z o.o. z siedzibą w: Świeradowska 47, 02-662 Warszawa (Pracodawca), jako administratora danych osobowych

Required Skills

AgileAWSAzureBudgetingCI/CDData EngineeringData ScienceDockerDocumentationE-learning DevelopmentGCPGitJavaScriptMachine LearningNode.jsOnboardingProject ManagementPythonReactRecruitmentScrumSoftware EngineeringSQLTypeScript

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