Machine Learning Engineer – General ML & Generative AI

🏢 Summary: The offer is for a Machine Learning Engineer responsible for designing, implementing, and operating enterprise-grade Machine Learning and Generative AI solutions. The role focuses on building end-to-end ML and GenAI pipelines, integrating LLM-based solutions, and ensuring production robustness and performance. You will concentrate on technical delivery and system integration within cloud-based environments. 🗂️ Requirements: University degree in Computer Science, Data Science, Mathematics or related field, Practical experience delivering Generative AI solutions, Strong understanding of LLM architectures and limitations, Strong Python engineering skills, Experience with Git-based version control, Experience working with CI/CD pipelines, Hands-on experience with ML and GenAI platforms, Experience with cloud environments (AWS, Azure, GCP or Databricks), Experience building and operating production-grade ML systems 📃 Skills: Python, MachineLearning, GenerativeAI, LLM, Git, CICD, Databricks, AWS, Azure, GCP, APIs, MLOps 🏢 Description: Responsibilities As a Machine Learning Engineer with a focus on classical ML as well as Generative AI, you are responsible for the technical design, implementation, and operation of enterprise-grade ML & GenAI solutions. You work in a tandem setup with an internal colleague who manages stakeholder communication and overall delivery, allowing you to concentrate on the technical realization, integration, and operational stability of ML & GenAI use cases. Design, train and optimize classical machine learning and Generative AI models for enterprise-grade use cases Build and maintain end-to-end ML and GenAI pipelines including data preparation, feature engineering, training, validation, deployment and monitoring Ensure robustness, performance and reproducibility of ML and GenAI solutions running in production Integrate LLM-based solutions using APIs and GenAI frameworks into existing system landscapes Collaborate closely with internal ML engineers and data teams on technical design, implementation and operational topics Benefits Motivizer Benefits Platform to choose and manage all your benefits in one place. You receive a budget (550 PLN monthly). You can choose medical care package, meal tickets, sports cards (we have Multisport and on preferential terms, we have membership cards to one of the most popular Gyms), cinema tickets, shop vouchers, discounts and many more. Language Courses – you'll have access to a multi-language learning platform enabling you to practice your language skills and learn new ones! Regular and systematic further training opportunities - both internally and from external providers. We support your ongoing learning and development. Cooperation within an internal community is our everyday reality. We have networking events, coding challenges, and company parties for different occasions. Qualifications Successfully completed university degree in Computer Science, Data Science, Mathematics or a related field Practical experience delivering Generative AI solutions and a solid understanding of LLM architectures and limitations Strong Python engineering skills, including clean code practices and software engineering best standards Hands-on experience with Git-based code versioning and working with CI/CD pipelines as a user Experience with productive ML and GenAI platforms and cloud-based environments (e.g. Databricks, AWS, Azure or GCP) Fluent communication skills in English and Polish and availability to work in a hybrid mode with 1–2 office visits per week. About OBI Smart Technologies WHO ARE WE: We are a joint venture between OBI and Reply Group, responsible for co-designing, building and operating mission-critical digital platforms for commerce, customer service, and omnichannel retail. OUR MISSION: " We unite technology leadership with deep retail vision to implement standardized processes and scalable digital products that drive efficient support for one of Europe’s largest DIY retailers. Leveraging proven best practices, we advance the internationalization of products and the digital mindset of our partners, delivering consistent and business-critical solutions to support the targets of our customer. "

🏢 Summary: Machine Learning Engineer role focused on designing, deploying, and operating enterprise-grade classical ML and Generative AI solutions in hybrid cloud environments. The position involves building end-to-end ML pipelines, integrating LLM-based systems, and ensuring production stability and scalability. Candidates work closely with ML and data teams while concentrating on technical implementation and operational excellence. 🗂️ Requirements: Degree in Computer Science, Data Science, Mathematics or related field, Experience delivering Generative AI solutions, Understanding of LLM architectures and limitations, Strong Python engineering skills, Knowledge of clean code and software engineering best practices, Experience with Git-based version control, Experience working with CI/CD pipelines, Experience with ML and GenAI platforms, Experience with cloud environments, Fluent English, Fluent Polish, Availability for hybrid work with 1–2 office visits per week 📃 Skills: Python, Git, CI/CD, Databricks, AWS, Azure, GCP, LLM, GenAI, MachineLearning 🏢 Description: Responsibilities As a Machine Learning Engineer with a focus on classical ML as well as Generative AI, you are responsible for the technical design, implementation, and operation of enterprise-grade ML & GenAI solutions. You work in a tandem setup with an internal colleague who manages stakeholder communication and overall delivery, allowing you to concentrate on the technical realization, integration, and operational stability of ML & GenAI use cases. - Design, train and optimize classical machine learning and Generative AI models for enterprise-grade use cases - Build and maintain end-to-end ML and GenAI pipelines including data preparation, feature engineering, training, validation, deployment and monitoring - Ensure robustness, performance and reproducibility of ML and GenAI solutions running in production - Integrate LLM-based solutions using APIs and GenAI frameworks into existing system landscapes - Collaborate closely with internal ML engineers and data teams on technical design, implementation and operational topics Qualifications - Successfully completed university degree in Computer Science, Data Science, Mathematics or a related field - Practical experience delivering Generative AI solutions and a solid understanding of LLM architectures and limitations - Strong Python engineering skills, including clean code practices and software engineering best standards - Hands-on experience with Git-based code versioning and working with CI/CD pipelines as a user - Experience with productive ML and GenAI platforms and cloud-based environments (e.g. Databricks, AWS, Azure or GCP) - Fluent communication skills in English and Polish - Availability to work in a hybrid mode with 1–2 office visits per week

🏢 Summary: The role focuses on designing, implementing, and operating enterprise-grade Machine Learning and Generative AI solutions, with responsibility for end-to-end pipelines and production stability. The engineer works hands-on with classical ML and LLM-based systems, ensuring robust integration into existing enterprise environments. The position emphasizes technical ownership of ML & GenAI use cases in close collaboration with internal teams. 🗂️ Requirements: University degree in Computer Science, Data Science, Mathematics or related field, Practical experience delivering Generative AI solutions, Strong understanding of LLM architectures and limitations, Strong Python engineering skills with clean code practices, Hands-on experience with Git-based version control, Experience working with CI/CD pipelines, Experience with ML and GenAI platforms in cloud environments (Databricks, AWS, Azure or GCP), Fluent English and Polish, Availability for hybrid work (1–2 office visits per week) 📃 Skills: Python, MachineLearning, GenerativeAI, LLM, Git, CICD, Databricks, AWS, Azure, GCP, APIs 🏢 Description: Responsibilities As a Machine Learning Engineer with a focus on classical ML as well as Generative AI, you are responsible for the technical design, implementation, and operation of enterprise-grade ML & GenAI solutions. You work in a tandem setup with an internal colleague who manages stakeholder communication and overall delivery, allowing you to concentrate on the technical realization, integration, and operational stability of ML & GenAI use cases. Design, train and optimize classical machine learning and Generative AI models for enterprise-grade use cases Build and maintain end-to-end ML and GenAI pipelines including data preparation, feature engineering, training, validation, deployment and monitoring Ensure robustness, performance and reproducibility of ML and GenAI solutions running in production Integrate LLM-based solutions using APIs and GenAI frameworks into existing system landscapes Collaborate closely with internal ML engineers and data teams on technical design, implementation and operational topics Qualifications Successfully completed university degree in Computer Science, Data Science, Mathematics or a related field Practical experience delivering Generative AI solutions and a solid understanding of LLM architectures and limitations Strong Python engineering skills, including clean code practices and software engineering best standards Hands-on experience with Git-based code versioning and working with CI/CD pipelines as a user Experience with productive ML and GenAI platforms and cloud-based environments (e.g. Databricks, AWS, Azure or GCP) Fluent communication skills in English and Polish and availability to work in a hybrid mode with 1–2 office visits per week. About OBI Smart Technologies WHO ARE WE: We are a joint venture between OBI and Reply Group, responsible for co-designing, building and operating mission-critical digital platforms for commerce, customer service, and omnichannel retail. OUR MISSION: " We unite technology leadership with deep retail vision to implement standardized processes and scalable digital products that drive efficient support for one of Europe’s largest DIY retailers. Leveraging proven best practices, we advance the internationalization of products and the digital mindset of our partners, delivering consistent and business-critical solutions to support the targets of our customer. "

🏢 Summary: The role focuses on designing, building, and operating production-grade machine learning solutions using classical and deep learning models. You will develop end-to-end ML pipelines, ensure robust and reproducible deployments, and collaborate on technical solution design in a production environment. 🗂️ Requirements: University degree in Computer Science, Data Science, Mathematics or related field, Experience building and operating production-grade machine learning pipelines, Strong Python engineering skills with clean code practices, Experience with Git-based version control, Experience working with CI/CD pipelines, Experience with ML platforms and cloud-based ML environments, Fluent English, Fluent Polish, Availability to work in hybrid mode with 1–2 office visits per week 📃 Skills: Python, Git, CI/CD, Databricks, AWS, Azure, GCP, MachineLearning, DeepLearning 🏢 Description: Responsibilities As a Machine Learning Engineer with a focus on classical ML/deep-learning models, you are responsible for the technical design, implementation, and operation of productive ML solutions. You work in a tandem setup with an internal colleague who handles stakeholder management and overall coordination, allowing you to focus fully on modeling, pipelines, and technical execution. Design, train and optimize classical machine learning and deep-learning models for business-relevant use cases Build and maintain end-to-end machine learning pipelines covering data preparation, feature engineering, training, validation, deployment and monitoring Ensure robustness, performance and reproducibility of machine learning solutions in production environments Implement structured and versioned ML workflows supporting reliable model development and operation Collaborate closely with internal machine learning engineers and data teams on technical topics and solution design Benefits Motivizer Benefits Platform to choose and manage all your benefits in one place. You receive a budget (550 PLN monthly). You can choose medical care package, meal tickets, sports cards (we have Multisport and on preferential terms, we have membership cards to one of the most popular Gyms), cinema tickets, shop vouchers, discounts and many more. Language Courses – you'll have access to a multi-language learning platform enabling you to practice your language skills and learn new ones! Regular and systematic further training opportunities - both internally and from external providers. We support your ongoing learning and development. Cooperation within an internal community is our everyday reality. We have networking events, coding challenges, and company parties for different occasions. Qualifications Successfully completed university degree in Computer Science, Data Science, Mathematics or a related field Solid experience building and operating production-grade machine learning pipelines Strong Python engineering skills , including clean code practices and software engineering best standards Hands-on experience with Git-based version control and working with CI/CD pipelines as a user Experience with productive ML platforms and cloud-based ML environments (e.g. Databricks, AWS, Azure or GCP) Fluent communication skills in English and Polish and availability to work in a hybrid mode with 1–2 office visits per week About OBI Smart Technologies WHO ARE WE: We are a joint venture between OBI and Reply Group, responsible for co-designing, building and operating mission-critical digital platforms for commerce, customer service, and omnichannel retail. OUR MISSION: " We unite technology leadership with deep retail vision to implement standardized processes and scalable digital products that drive efficient support for one of Europe’s largest DIY retailers. Leveraging proven best practices, we advance the internationalization of products and the digital mindset of our partners, delivering consistent and business-critical solutions to support the targets of our customer. "

🏢 Summary: The role focuses on designing, building, and operating production-grade machine learning solutions using classical ML and deep learning models. You will develop end-to-end ML pipelines, ensure robustness and reproducibility in production, and collaborate on technical solution design. The position emphasizes strong Python engineering and experience with cloud-based ML platforms. 🗂️ Requirements: Degree in ComputerScience, DataScience, Mathematics or related field, Experience building production-grade machine learning pipelines, Strong Python engineering skills, Experience with Git-based version control, Experience working with CI and CD pipelines, Experience with cloud-based ML platforms, Ability to design, train and optimize ML and deep learning models, Experience ensuring robustness and reproducibility in production environments 📃 Skills: Python, MachineLearning, DeepLearning, Pipelines, FeatureEngineering, Deployment, Monitoring, Git, CI, CD, Databricks, AWS, Azure, GCP, Cloud, VersionControl 🏢 Description: Responsibilities As a Machine Learning Engineer with a focus on classical ML/deep-learning models, you are responsible for the technical design, implementation, and operation of productive ML solutions. You work in a tandem setup with an internal colleague who handles stakeholder management and overall coordination, allowing you to focus fully on modeling, pipelines, and technical execution. Design, train and optimize classical machine learning and deep-learning models for business-relevant use cases Build and maintain end-to-end machine learning pipelines covering data preparation, feature engineering, training, validation, deployment and monitoring Ensure robustness, performance and reproducibility of machine learning solutions in production environments Implement structured and versioned ML workflows supporting reliable model development and operation Collaborate closely with internal machine learning engineers and data teams on technical topics and solution design Qualifications Successfully completed university degree in Computer Science, Data Science, Mathematics or a related field Solid experience building and operating production-grade machine learning pipelines Strong Python engineering skills , including clean code practices and software engineering best standards Hands-on experience with Git-based version control and working with CI/CD pipelines as a user Experience with productive ML platforms and cloud-based ML environments (e.g. Databricks, AWS, Azure or GCP) Fluent communication skills in English and Polish and availability to work in a hybrid mode with 1–2 office visits per week About OBI Smart Technologies WHO ARE WE: We are a joint venture between OBI and Reply Group, responsible for co-designing, building and operating mission-critical digital platforms for commerce, customer service, and omnichannel retail. OUR MISSION: " We unite technology leadership with deep retail vision to implement standardized processes and scalable digital products that drive efficient support for one of Europe’s largest DIY retailers. Leveraging proven best practices, we advance the internationalization of products and the digital mindset of our partners, delivering consistent and business-critical solutions to support the targets of our customer. "

🏢 Summary: Software and Cloud Engineer role focused on building and evolving workflow automation and agentic engineering capabilities with gradual AI-driven enhancements. The position involves designing scalable BPMN-based orchestration solutions and enabling cloud-native adoption across teams. You will bridge product teams with a central AWS-based platform, ensuring secure, production-ready automation and infrastructure practices. 🗂️ Requirements: Completed degree in Computer Science, Data Science, Mathematics or related field, Strong software engineering experience, Proficiency in Python or TypeScript, Understanding of API design principles, Experience with microservices architectures, Hands-on experience with BPMN or workflow orchestration platforms, Practical experience with public cloud environments, Experience with containerization and deployment, Experience with CI/CD pipelines, Experience with Infrastructure as Code tools 📃 Skills: Python, TypeScript, AWS, Kubernetes, GitLab, Keycloak, BPMN, Docker, CICD, Terraform, Microservices, APIs, Cloud, Containers, Observability 🏢 Description: Responsibilities We are looking for a strong software and cloud engineer who wants to grow into AI-driven automation & agentic engineering. You will establish and evolve our Workflow Automation & Agentic Engineering capabilities at OBI Smart Technology Poland and gradually extend it with AI-driven enhancements where they add real value. You act as a technical bridge to our central core platform (AWS,  K8s, GitLab, Keycloak & many more) and help teams adopt modern automation and cloud practices in a structured, production-ready way. Your key responsibilities include: Contribute to architecture and structured integration of agentic capabilities into products and workflows, exploring emerging standards and patterns for agent-based systems. Design and implement scalable workflow orchestration solutions using BPMN - based platforms and modern automation tooling, combining deterministic logic with AI where beneficial. Enable cloud-native platform adoption by working hands-on with container orchestration , CI/CD pipelines , identity management and cloud infrastructure to support secure service delivery. Establish governance and operational excellence standards including observability , cost awareness , access management and secure deployment practices for workflow and AI solutions. Act as a platform ambassador by coaching teams on automation best practices, infrastructure as code, platform-native design and production-ready engineering approaches. Build local knowledge sharing practices through workshops, technical sessions and collaboration with global platform teams. Design and evolve Workflow Automation and Agentic Engineering capabilities while gradually introducing AI-driven enhancements that deliver measurable value. Benefits Motivizer Benefits Platform to choose and manage all your benefits in one place. You receive a budget (550 PLN monthly). You can choose medical care package, meal tickets, sports cards (we have Multisport and on preferential terms, we have membership cards to one of the most popular Gyms), cinema tickets, shop vouchers, discounts and many more. Language Courses – you'll have access to a multi-language learning platform enabling you to practice your language skills and learn new ones! Regular and systematic further training opportunities - both internally and from external providers. We support your ongoing learning and development. Cooperation within an internal community is our everyday reality. We have networking events, coding challenges, and company parties for different occasions. Qualifications Completed university degree in Computer Science , Data Science, Mathematics or a related technical field. Strong software engineering background with practical proficiency in Python or TypeScript . Solid understanding of modern API design principles and microservices architectures . Hands-on experience or strong interest in workflow orchestration and automation platforms using BPMN or comparable technologies. Practical cloud engineering experience including containerization and deployment within public cloud environments. Experience with CI/CD pipelines and infrastructure as code tooling supporting automated delivery and scalable environments. Fluent communication skills in English and Polish and availability to work in a hybrid mode with 1–2 office visits per week. About OBI Smart Technologies WHO ARE WE: We are a joint venture between OBI and Reply Group, responsible for co-designing, building and operating mission-critical digital platforms for commerce, customer service, and omnichannel retail. OUR MISSION: " We unite technology leadership with deep retail vision to implement standardized processes and scalable digital products that drive efficient support for one of Europe’s largest DIY retailers. Leveraging proven best practices, we advance the internationalization of products and the digital mindset of our partners, delivering consistent and business-critical solutions to support the targets of our customer. "

🏢 Summary: The offer is for a Software and Cloud Engineer focused on building and evolving workflow automation and agentic engineering capabilities with gradual AI-driven enhancements. The role combines hands-on cloud-native engineering, BPMN-based orchestration, and integration with core platform services in a production-ready environment. It emphasizes scalable automation, governance standards, and adoption of modern DevOps and infrastructure practices. 🗂️ Requirements: University degree in Computer Science, Data Science, Mathematics or related field, Strong software engineering experience, Proficiency in Python or TypeScript, Knowledge of API design principles, Understanding of microservices architecture, Experience with BPMN or workflow orchestration platforms, Hands-on cloud engineering experience in public cloud environments, Experience with containerization and deployment, Experience with CI/CD pipelines, Experience with infrastructure as code tools, Fluent English, Fluent Polish 📃 Skills: Python, TypeScript, AWS, Kubernetes, GitLab, Keycloak, BPMN, CI/CD, API, Microservices, Docker, Terraform, Cloud, IaC 🏢 Description: Responsibilities We are looking for a strong software and cloud engineer who wants to grow into AI-driven automation & agentic engineering. You will establish and evolve our Workflow Automation & Agentic Engineering capabilities at OBI Smart Technology Poland and gradually extend it with AI-driven enhancements where they add real value. You act as a technical bridge to our central core platform (AWS,  K8s, GitLab, Keycloak & many more) and help teams adopt modern automation and cloud practices in a structured, production-ready way. Your key responsibilities include: Contribute to architecture and structured integration of agentic capabilities into products and workflows, exploring emerging standards and patterns for agent-based systems. Design and implement scalable workflow orchestration solutions using BPMN - based platforms and modern automation tooling, combining deterministic logic with AI where beneficial. Enable cloud-native platform adoption by working hands-on with container orchestration , CI/CD pipelines , identity management and cloud infrastructure to support secure service delivery. Establish governance and operational excellence standards including observability , cost awareness , access management and secure deployment practices for workflow and AI solutions. Act as a platform ambassador by coaching teams on automation best practices, infrastructure as code, platform-native design and production-ready engineering approaches. Build local knowledge sharing practices through workshops, technical sessions and collaboration with global platform teams. Design and evolve Workflow Automation and Agentic Engineering capabilities while gradually introducing AI-driven enhancements that deliver measurable value. Qualifications Completed university degree in Computer Science , Data Science, Mathematics or a related technical field. Strong software engineering background with practical proficiency in Python or TypeScript . Solid understanding of modern API design principles and microservices architectures . Hands-on experience or strong interest in workflow orchestration and automation platforms using BPMN or comparable technologies. Practical cloud engineering experience including containerization and deployment within public cloud environments. Experience with CI/CD pipelines and infrastructure as code tooling supporting automated delivery and scalable environments. Fluent communication skills in English and Polish. About OBI Smart Technologies WHO ARE WE: We are a joint venture between OBI and Reply Group, responsible for co-designing, building and operating mission-critical digital platforms for commerce, customer service, and omnichannel retail. OUR MISSION: " We unite technology leadership with deep retail vision to implement standardized processes and scalable digital products that drive efficient support for one of Europe’s largest DIY retailers. Leveraging proven best practices, we advance the internationalization of products and the digital mindset of our partners, delivering consistent and business-critical solutions to support the targets of our customer. "

🏢 Summary: B2B Software Engineer (Python – GenAI) role focused on building and deploying AI-driven applications using AWS and Large Language Models. The position involves developing backend services, APIs, and microservices while ensuring high standards of security, testing, and CI/CD within an Agile environment. Hybrid work model with regular collaboration in Scrum teams. 🗂️ Requirements: Strong Python backend development, Hands-on experience with AWS services (Bedrock, DynamoDB, OpenSearch, CloudWatch, Step Functions), Practical knowledge of Generative AI and LLM technologies, Experience building REST APIs, Experience developing microservices, Understanding of CI/CD pipelines in AWS, Knowledge of DevOps practices, Experience working in Agile/Scrum teams 📃 Skills: Python, AWS, Bedrock, DynamoDB, OpenSearch, CloudWatch, StepFunctions, LLM, GenAI, REST, Microservices, CICD, DevOps, Agile 🏢 Description: Location: hybrid model. For candidates based in Warsaw, Gdańsk , or nearby areas, we require office presence once per week . For candidates located in other regions, office visits are required once per month (for workshops and team meetings). Team Structure: Agile/Scrum teams Contract B2B Rates depending on the years of the experience: 4-7 yrs: 147 PLN/h 7-10 yrs: 164 PLN/h 10+ yrs: 178 PLN/h Software Engineer (Python – GenAI) role is to contribute to the development and deployment of AI-driven applications, focusing on leveraging modern cloud services and generative AI technologies to provide innovative solutions for the organization. Main Responsibilities: Creating, developing, and deploying AI-based applications using AWS services. Developing and optimizing Large Language Model (LLM) based solutions tailored to real-world business cases. Building and maintaining APIs and microservices to efficiently serve solutions to customers. Ensuring all AI solutions adhere to security, development, and governance standards. Writing and maintaining unit tests, ensuring robust test coverage, and enforcing best coding practices (clean code, maintainability, and performance optimization). Creating clear, concise technical documentation for developed components. Working in Agile/Scrum teams to deliver high-quality applications. Key Requirements: Fluency in English. Strong command of Python for backend development. Hands-on experience with AWS services, including Amazon Bedrock, DynamoDB, OpenSearch, CloudWatch, and Step Functions. Understanding of Generative AI and LLM technologies. Proven experience in developing and maintaining RESTful APIs and microservices. Solid understanding of CI/CD pipelines and DevOps best practices within the AWS environment. Ability to thrive in an Agile environment and work effectively with multidisciplinary teams. Nice to Have: Experience working with vector databases. Knowledge of prompt engineering. Experience working with Azure services, including Azure VM, Azure DevOps, Azure Blob Storage, Cosmos DB, Azure Functions, Azure AI Search, and others.

🏢 Summary: Senior Python Engineer role focused on designing and developing GenAI applications, including architecture, backend services, and AI integrations. The position involves building and maintaining APIs and microservices, integrating GenAI models (e.g., RAG, agentic workflows), and ensuring high-quality, well-tested solutions in cloud environments. The role requires close collaboration across the full project lifecycle while driving technical excellence in AI-powered systems. 🗂️ Requirements: 6+ years of experience in Python development, Fluency in Python ecosystem, Experience with FastAPI or Flask, Experience with SQL and NoSQL databases, Knowledge of clean code and design patterns in Python, Experience writing unit tests, Experience integrating GenAI models into business applications, Knowledge of RAG and agentic workflows, Experience building APIs and microservices, Familiarity with AWS, GCP, or Azure, Familiarity with Continuous Deployment, English C1, Polish C1 📃 Skills: Python, FastAPI, Flask, SQL, NoSQL, GenAI, RAG, APIs, Microservices, AWS, GCP, Azure, CI/CD, UnitTesting 🏢 Description: 🚀 You will be responsible for: Design architecture of GenAI applications, Design, develop, and maintain Python code in AI applications and components, Code review and identification of areas of improvments, Collaborate with data scientists and machine learning engineers to utilize AI models in the applications, Knowledge of basic types of solutions using GenAI models (RAGs, agentic workflows, etc.) Collaborate with other roles (managers, testers, DevOps, etc.) through the whole life cycle of a project, Develop and maintain APIs and microservices for AI integration with other systems, Conduct experiments and evaluations to measure the performance of GenAI models, Stay up-to-date with the latest advancements in GenAI technologies, Contribute to a collaborative and innovative team culture. Additional advantages, but not required directly for the position: Knowledge of another object-oriented programming language (Java/C#/C++) Knowledge of Machine Learning algorithms and libraries (scikit-learn, PyTorch) 👉 What you will need: At least 6 years of experience and fluency in Python development ecosystem, Experience in building back-end services in Python with frameworks like FastAPI (or Flask ), SQL and NoSQL databases , Knowledge of clean code and design patterns in Python , strong attitude to build well structured, high quality solutions, Experience in writing robust unit tests for developed applications, Experience in using GenAI models in building business applications, Familiarity with cloud platforms (AWS, GCP, Azure) and cloud-native technologies, Familiarity with Continuous Deployment lifecycle, Excellent problem-solving and analytical skills, Ability to work independently and as part of a team, Very good knowledge of English (C1) and Polish (C1) Strong communication and documentation skills 👉 What we offer: The opportunity to work on cutting-edge projects in the dynamic field of cloud and data technologies. A supportive and collaborative work environment that fosters professional growth . Competitive remuneration and various bonuses, such as access to private medical care ( Medicover or Luxmed ) and sport ( Multisport ) cards, reimbursement for English classes , access to the Employee Capital Plan ( PPK ) and b udget for professional development. We mostly work remotely , but we ask that you be willing to come to the office occasionally for workshops, client meetings or project-related discussions. Non-work-related activities galore! We have a running team (with a pro coach), internal competitions, from cookery to photography, a ping-pong league, team building, well-being expert seminars. You can suggest beneficiaries for our CF4GOOD charity program . Company culture rooted in respect and cooperation, not competition . You'll be working with great people, open to new challenges and directions. If you are tired of the proverbial corporate treadmill, come to us to rest mentally. If you've had luck with employers, we'll do our best not to buck the trend.

🏢 Summary: Full-time remote B2B role for a Software Engineer focused on Python backend development and implementation of Generative AI solutions for internal products. The position centers on integrating LLM-based models via APIs, building enterprise-grade microservices, and collaborating with Data Scientists in a distributed Agile team. Work involves productionizing AI models within the Azure ecosystem, with emphasis on structured, secure, and high-quality implementations. 🗂️ Requirements: Strong experience in Python backend development, Experience implementing LLM solutions via APIs, Understanding of Generative AI architectures and concepts, Experience in enterprise-scale environments, Experience building and consuming APIs, Ability to work in regulated or structured environments, English proficiency at C1 or strong B2 level 📃 Skills: Python, LLM, GenAI, APIs, RAG, Azure, AzureOpenAI, Microservices, REST, VectorDB 🏢 Description: PROJECT DETAILS: Workload: Full-time Model of working: 100% Remote Contract: B2B, long-term Rate: up to 145 PLN/h nett + VAT About the Role We are looking for a Software Engineer to work on Generative AI–based internal products developed in the company, supporting internal employees. You will join a distributed, fully remote team working on one of two AI-related business streams. The focus of the role is on Python backend development combined with implementation of Generative AI solutions , closely collaborating with Data Scientists who prepare the models. The solutions you build will be used internally within the organization. Responsibilities Design, develop, and deploy backend solutions in Python Implement Generative AI models prepared by Data Scientists into production-ready applications Wrap AI models with application logic and expose them as ready-to-use internal solutions Work mainly with API-based integrations , including LLM usage via APIs Implement and support LLM-based solutions (classic LLM usage through APIs) Work with Retrieval-Augmented Generation (RAG) concepts, including knowledge bases for language models Develop and maintain APIs and microservices Ensure solutions meet enterprise-level quality, security, and governance standards Write clean, maintainable code with appropriate test coverage Collaborate within Agile teams (PM, PO, developers, QA, architects) Participate in the full lifecycle: Business analysis Development Hypercare Further development Technology & Architecture Context Backend and GenAI work is fully Python-based GenAI models are consumed and exposed via APIs Azure OpenAI is used as part of the Azure ecosystem Strong emphasis on correct and well-structured implementation of AI models , not on model training Approximate work split: 80% backend Python development 20% GenAI/LLM solution implementation Key Requirements Strong experience in Python backend development Experience implementing solutions using LLMs via API Understanding of Generative AI architectures and basic GenAI concepts Experience with enterprise-scale environments Experience in building and consuming APIs Ability to work in regulated or structured organizational environments English: C1 or strong B2 Nice to Have Experience in regulated industries Familiarity with RAG concepts (vector databases / knowledge bases) Experience working in large enterprise organizations