AI Engineer – Search & Knowledge

🏢 Summary: The role involves architecting and deploying advanced AI-driven applications using Azure AI services and modern generative AI frameworks. The position focuses on building scalable knowledge retrieval systems, intelligent AI agents, and integrating AI capabilities into existing products. It requires strong expertise in cloud-native, containerized, and MLOps-driven environments. 🗂️ Requirements: Practical experience with Azure AI ecosystem, Experience with GitHub and DevOps methodologies, Strong programming skills in Python, Hands-on experience with embeddings and text chunking, Experience with vector search solutions, Experience with FastAPI and Pydantic, Experience with pymongo and Azure SDKs, Experience designing scalable AI systems, Experience building document processing pipelines, Experience with cloud-native infrastructures 📃 Skills: Azure, AzureOpenAI, AzureDocumentIntelligence, OCR, LangChain, RAG, CAG, MongoDB, PostgreSQL, Python, FastAPI, Pydantic, pymongo, Docker, GitHub, DevOps, MLOps, Embeddings, VectorSearch, JSON 🏢 Description: We are looking for a skilled AI Full-Stack Developer to architect, implement, and deploy advanced AI-driven applications. The ideal candidate will work with Azure AI services, MongoDB Atlas, LangChain-based workflows, RAG/CAG frameworks, and containerized environments (Docker), while leveraging modern AI agent technologies. Key Responsibilities Design and implement Generative AI solutions using Azure OpenAI, Azure Document Intelligence, OCR capabilities, and other Azure cloud services. Work closely with front-end and back-end teams to seamlessly embed AI functionalities into existing systems. Review and maintain high-quality code for AI service integrations, ensuring best practices and performance standards are met. Create scalable knowledge retrieval systems using LangChain, RAG/CAG approaches, and vector databases—primarily MongoDB Atlas—with working knowledge of PostgreSQL. Develop intelligent AI agents capable of autonomous reasoning, planning, and interaction with external tools. Support and promote AI-augmented development practices with tools such as GitHub Copilot or Factory AI. Requirements Practical experience with the Azure AI ecosystem, GitHub, DevOps methodologies, generative AI architectures, and vector search solutions. Strong programming skills in Python and familiarity with modern MLOps and DevOps environments. Hands-on experience with embeddings and text chunking strategies, JSON and markup formats, FastAPI, Pydantic, pymongo, and Azure SDKs. Proven expertise in designing scalable AI systems, document processing pipelines, and cloud-native infrastructures. Strong communication abilities and experience collaborating within cross-functional teams.

🏢 Summary: The role focuses on designing, developing, and deploying AI agents to automate business processes using Microsoft Power Platform tools. It involves building compliant, secure, and well-documented AI solutions while collaborating in an Agile environment. The position emphasizes continuous improvement, integration with existing systems, and adherence to ethical AI standards. 🗂️ Requirements: Proven experience in a similar AI engineering role, Experience in AI agents or chatbot development, Hands-on experience with Microsoft Copilot Studio or similar platforms, Technical knowledge of cloud platforms, Experience working with APIs, Understanding of ethical AI principles, Fluency in English 📃 Skills: AI, Chatbots, Copilot, PowerPlatform, Cloud, APIs, Security, Compliance, Agile, Documentation 🏢 Description: Summary The AI Agent Engineer will be pivotal in developing AI agents and automation solutions aimed at enhancing business processes within an agile framewor. This role focuses on leveraging Microsoft Power Platform tools to deliver compliant, efficient, and well-documented AI solutions. Main Responsibilities: Design, Develop, and Deploy AI Agents: Architect, build, and maintain intelligent agent solutions to automate business processes, improving user experiences. Leverage Microsoft Copilot Studio: Utilize Microsoft Copilot Studio to create, customize, and optimize AI agents, ensuring seamless integration with existing systems. Collaborate Across Teams: Work closely with business stakeholders, product owners, and technology teams to gather requirements and deliver robust AI-driven solutions. Continuous Improvement: Monitor agent performance, collect user feedback, and implement enhancements for accuracy and user satisfaction. Ensure Compliance and Security: Adhere to data privacy, security, and compliance standards throughout the AI agent lifecycle. Documentation and Knowledge Sharing: Produce clear technical documentation and best practices to support adoption and maintenance. Stay Current: Keep updated with advancements in AI and recommend new tools and approaches as appropriate. Key Requirements: Proven track record in a similar role. Experience in AI agents or chatbot development. Hands-on expertise with Microsoft Copilot Studio or similar platforms. Fluency in English with strong communication skills. Understanding of ethical AI principles. Technical knowledge of cloud platforms and APIs. Nice to Have: Experience with programming languages like Python, C#, or JavaScript Knowledge of automated testing frameworks Experience in Agile teams

🏢 Summary: Remote Microsoft AI Developer role focused on designing and delivering scalable AI solutions using Azure and Microsoft technologies. The position involves translating business needs into AI-driven applications, integrating APIs and microservices, and implementing DevOps best practices. The role also covers full development lifecycle support and technical leadership within Agile teams. 🗂️ Requirements: Degree in Computer Science or related field, Strong experience with Azure AI services, Proficiency in .NET and Python, Experience with APIs and microservices architecture, Experience with Docker and Kubernetes, Experience with CI/CD pipelines, Knowledge of SQL or Dataverse, Experience with cloud-based integrations, Ability to work in Agile environments 📃 Skills: Azure, OpenAI, Foundry, Functions, LogicApps, .NET, Python, APIs, Microservices, Docker, Kubernetes, CI/CD, GitHub, AzureDevOps, SQL, Dataverse 🏢 Description: Senovo IT are looking for a Microsoft AI Developer, who will design and deliver AI-driven solutions using Microsoft and Azure technologies, helping clients solve complex business challenges and improve operational efficiency. Location: Remote from Poland Language : Polish and English Key Responsibilities: Design, develop, and deploy scalable AI solutions using Azure and Microsoft 365 tools Translate business needs into technical AI and automation solutions Collaborate with cross-functional teams in Agile environments Integrate APIs and microservices for secure, scalable applications Implement CI/CD and DevOps best practices (GitHub, Azure DevOps) Optimize user experience in collaboration with UX teams Troubleshoot issues and support the full development lifecycle Mentor team members and act as a technical expert Key Requirements: Degree in Computer Science or related field Strong experience with Azure AI (OpenAI, Foundry, Functions, Logic Apps) Proficiency in .NET, Python, APIs, and microservices architecture Experience with Docker/Kubernetes and CI/CD pipelines Knowledge of SQL/Dataverse and cloud-based integrations Strong problem-solving and communication skills If interested and available , please share your cv for an immiediate consideration.

🏢 Summary: Senior .NET Engineer role focused on building enterprise-grade .NET applications and integrating advanced AI/ML solutions in production environments using Azure cloud technologies. The position involves AI model evaluation, prompt engineering, cloud architecture, and scalable microservices development while collaborating with technical and business stakeholders. 🗂️ Requirements: Bachelor's or Master's degree in Computer Science, Software Engineering, Data Science, or related field, 5+ years of professional software development experience in .NET/C# ecosystem, Hands-on experience integrating AI technologies in commercial projects, Strong understanding of AI/ML concepts, model training, and data preprocessing, Expertise in prompt engineering, RAG architectures, and vector databases, Experience selecting, fine-tuning, and implementing AI models and frameworks, Experience with Microsoft Azure AI and cloud services, Knowledge of SOLID principles, design patterns, and microservices architecture, Experience with CI/CD pipelines and SQL/NoSQL databases, Ability to explain AI concepts to technical and non-technical stakeholders, Strong analytical and debugging skills, Experience working in agile environments and mentoring engineers 📃 Skills: C#, .NET, ASP.NET, Microservices, AI, ML, LLM, NLP, Azure, AzureOpenAI, AzureML, AzureFunctions, CosmosDB, AKS, RAG, SQL, NoSQL, CI/CD, PromptEngineering 🏢 Description: We are seeking a highly skilled and forward-thinking Senior .NET Engineer with AI expertise to join our growing engineering team. In this role, you will bridge the gap between traditional enterprise .NET development and cutting-edge Artificial Intelligence. Responsibilities - Architect, develop, and maintain high-performance, scalable, and secure enterprise-grade applications using modern .NET stack (C#, .NET 8, ASP.NET Core, Microservices) - Lead the hands-on integration and leveraging of AI technologies in real-world, production-ready projects - Evaluate, select, and implement optimal AI models, frameworks, and orchestrators beyond basic API/tool usage to solve complex business problems - Apply a strong understanding of AI/ML concepts to drive high-quality model training, dataset preprocessing, and advanced prompt engineering techniques to maximize output accuracy and relevance - Proactively identify high-value opportunities within current workflows and products to apply AI for process automation, advanced analytics, or next-generation product enhancements - Design and manage cloud infrastructure utilizing Microsoft Azure technologies including Azure OpenAI Service, Azure Cognitive Services, Azure Machine Learning, Azure Functions, Cosmos DB, and AKS to deploy and scale AI workloads - Explain complex AI concepts, workflows, architectural designs, and trade-offs clearly to both technical developers and non-technical business stakeholders - Establish and adhere to guidelines regarding security, rate limits, latency optimization, data privacy, and ethical considerations during model deployment Requirements - Bachelor's or Master's degree in Computer Science, Software Engineering, Data Science, or a related field (or equivalent practical experience) - 5+ years of professional software development experience with emphasis on the .NET/C# ecosystem - Demonstrated hands-on experience integrating and leveraging AI technologies such as LLMs, NLP, Computer Vision, or recommendation engines in commercial projects - Strong understanding of AI/ML concepts including model training, data preprocessing, and optimization - Expertise in advanced prompt engineering, RAG architectures, and vector databases - Ability to analyze, fine-tune, select, and implement AI models and frameworks based on performance, cost, and latency constraints - Proven experience applying AI for process automation, analytics, or product enhancement - Familiarity with AI limitations and best practices in adoption and deployment - Proven experience working with Microsoft Azure technologies, specifically deploying AI workloads through Azure OpenAI, Azure ML pipelines, and standard cloud services - Solid understanding of SOLID principles, design patterns, microservices architecture, CI/CD pipelines, and database management (SQL and NoSQL) - Strong capacity to explain AI concepts, workflows, and system designs to diverse audiences - Strong analytical and debugging skills with a proactive mindset - Comfortable working in an agile environment, mentoring junior engineers, and collaborating with Product Owners We offer - Engineering community of industry professionals - Friendly team and enjoyable working environment - Flexible schedule and remote work opportunity within Poland - Opportunity to work abroad for up to 60 days annually - Business-driven relocation opportunities - Career roadmap and leadership development programs - Certification opportunities for GCP, Azure, and AWS - Unlimited access to LinkedIn Learning, Get Abstract, and Cloud Guru - English classes - Stable income with Employment Contract or B2B options - Employee Stock Purchase Plan participation - Benefits package including health insurance, multisport, and shopping vouchers - Modern office spaces with entertainment and relaxation zones - Referral bonuses - Corporate, social, and well-being events Please note: The set of bonuses might vary based on the role.

🏢 Summary: Senior .NET Engineer role focused on building enterprise-grade .NET applications and integrating advanced AI/ML solutions in production environments using Azure cloud technologies. The position involves designing scalable microservices architectures, deploying AI workloads, optimizing AI models, and driving AI-powered automation and analytics initiatives. The offer includes remote work flexibility, career development programs, certifications, and comprehensive benefits. 🗂️ Requirements: Bachelor's or Master's degree in Computer Science, Software Engineering, Data Science, or related field, 5+ years of professional software development experience in .NET/C# ecosystem, Hands-on experience integrating AI technologies in commercial projects, Strong knowledge of AI/ML concepts, model training, and data preprocessing, Experience with prompt engineering, RAG architectures, and vector databases, Ability to evaluate, fine-tune, and implement AI models and frameworks, Experience applying AI for automation, analytics, or product enhancement, Experience with Microsoft Azure AI services and cloud deployments, Knowledge of SOLID principles, design patterns, and microservices architecture, Experience with CI/CD pipelines and SQL/NoSQL databases, Ability to explain technical AI concepts to technical and non-technical stakeholders, Strong analytical and debugging skills, Experience working in agile environments, Ability to mentor junior engineers 📃 Skills: C#, .NET, ASP.NET, Microservices, Azure, AzureOpenAI, AzureML, AzureFunctions, CosmosDB, AKS, LLM, NLP, ComputerVision, RAG, SQL, NoSQL, CI/CD, AI, ML 🏢 Description: We are seeking a highly skilled and forward-thinking Senior .NET Engineer with AI expertise to join our growing engineering team. In this role, you will bridge the gap between traditional enterprise .NET development and cutting-edge Artificial Intelligence. You will be responsible for designing, building, and deploying robust .NET applications while leading the integration, evaluation, and scaling of AI/ML models. Quick Facts Responsibilities - Architect, develop, and maintain high-performance, scalable, and secure enterprise-grade applications using modern .NET stack (C#, .NET 8, ASP.NET Core, Microservices) - Lead the hands-on integration and leveraging of AI technologies in real-world, production-ready projects - Evaluate, select, and implement optimal AI models, frameworks, and orchestrators beyond basic API/tool usage to solve complex business problems - Apply a strong understanding of AI/ML concepts to drive high-quality model training, dataset preprocessing, and advanced prompt engineering techniques to maximize output accuracy and relevance - Proactively identify high-value opportunities within current workflows and products to apply AI for process automation, advanced analytics, or next-generation product enhancements - Design and manage cloud infrastructure utilizing Microsoft Azure Technologies (e.g., Azure OpenAI Service, Azure Cognitive Services, Azure Machine Learning, Azure Functions, Cosmos DB, and AKS) to deploy and scale AI workloads - Explain complex AI concepts, workflows, architectural designs, and trade-offs clearly to both technical developers and non-technical business stakeholders - Establish and adhere to guidelines regarding security, rate limits, latency optimization, data privacy, and ethical considerations during model deployment Requirements - Bachelor's or Master's degree in Computer Science, Software Engineering, Data Science, or a related field (or equivalent practical experience) - 5+ years of professional software development experience, with a heavy emphasis on the .NET/C# ecosystem - Demonstrated hands-on experience integrating and leveraging AI technologies such as LLMs, NLP, Computer Vision, or recommendation engines in commercial projects - Strong understanding of core AI/ML concepts including model training, data preprocessing, and optimization - Expertise in advanced prompt engineering, RAG architectures, and vector databases - Ability to critically analyze, fine-tune, select, and implement AI models and frameworks based on performance, cost, and latency constraints - Proven track record of identifying opportunities to apply AI for process automation, analytics, or product enhancement - Familiarity with limitations and best practices in AI adoption and deployment - Proven experience working with Microsoft Azure Technologies, specifically deploying AI workloads through Azure OpenAI, Azure ML pipelines, and standard cloud services - Solid understanding of SOLID principles, design patterns, microservices architecture, CI/CD pipelines, and database management (SQL and NoSQL) - Strong capacity to translate and explain AI concepts, technical workflows, and system designs to diverse audiences - Strong analytical and debugging skills with a proactive mindset - Comfortable working in an agile environment, mentoring junior engineers, and pairing with Product Owners to shape the AI roadmap We offer - Engineering community of industry professionals - Friendly team and enjoyable working environment - Flexible schedule and opportunity to work remotely within Poland - Chance to work abroad for up to 60 days annually - Business-driven relocation opportunities - Outstanding career roadmap - Leadership development, career advising, soft skills, and well-being programs - Certification opportunities (GCP, Azure, AWS) - Unlimited access to LinkedIn Learning, Get Abstract, and Cloud Guru - English classes - Stable income (Employment Contract or B2B) - Participation in the Employee Stock Purchase Plan - Benefits package including health insurance, multisport, and shopping vouchers - Strategically located offices featuring entertainment and relaxation zones, table tennis and football, free snacks, and coffee - Referral bonuses - Corporate, social, and well-being events Please note: The set of bonuses might vary based on the role.

🏢 Summary: Senior .NET Engineer role focused on building enterprise-grade .NET applications and integrating advanced AI/ML solutions in production environments. The position involves designing scalable cloud-based architectures on Azure, implementing AI models and RAG systems, and driving AI-powered automation and analytics initiatives. The offer includes remote work flexibility, career development programs, certifications, and comprehensive benefits. 🗂️ Requirements: Bachelor's or Master's degree in Computer Science, Software Engineering, Data Science, or related field, 5+ years of professional software development experience in .NET/C#, Experience integrating AI technologies in commercial projects, Knowledge of AI/ML concepts including model training and data preprocessing, Experience with prompt engineering, RAG architectures, and vector databases, Ability to evaluate and implement AI models and frameworks, Experience with Microsoft Azure AI services and cloud infrastructure, Knowledge of SOLID principles, design patterns, and microservices, Experience with CI/CD pipelines and SQL/NoSQL databases, Ability to communicate technical concepts to technical and non-technical stakeholders, Strong analytical and debugging skills, Experience working in agile environments 📃 Skills: C#, .NET, ASP.NET, Microservices, Azure, OpenAI, AzureML, AKS, CosmosDB, SQL, NoSQL, CI/CD, RAG, LLMs, NLP, AzureFunctions, PromptEngineering, ComputerVision 🏢 Description: We are seeking a highly skilled and forward-thinking Senior .NET Engineer with AI expertise to join our growing engineering team. In this role, you will bridge the gap between traditional enterprise .NET development and cutting-edge Artificial Intelligence. You will be responsible for designing, building, and deploying robust .NET applications while leading the integration, evaluation, and scaling of AI/ML models. Responsibilities - Architect, develop, and maintain high-performance, scalable, and secure enterprise-grade applications using modern .NET stack (C#, .NET 8, ASP.NET Core, Microservices) - Lead the hands-on integration and leveraging of AI technologies in real-world, production-ready projects - Evaluate, select, and implement optimal AI models, frameworks, and orchestrators beyond basic API/tool usage to solve complex business problems - Apply a strong understanding of AI/ML concepts to drive high-quality model training, dataset preprocessing, and advanced prompt engineering techniques to maximize output accuracy and relevance - Proactively identify high-value opportunities within current workflows and products to apply AI for process automation, advanced analytics, or next-generation product enhancements - Design and manage cloud infrastructure utilizing Microsoft Azure Technologies (e.g., Azure OpenAI Service, Azure Cognitive Services, Azure Machine Learning, Azure Functions, Cosmos DB, and AKS) to deploy and scale AI workloads - Explain complex AI concepts, workflows, architectural designs, and trade-offs clearly to both technical developers and non-technical business stakeholders - Establish and adhere to guidelines regarding security, rate limits, latency optimization, data privacy, and ethical considerations during model deployment Requirements - Bachelor's or Master's degree in Computer Science, Software Engineering, Data Science, or a related field (or equivalent practical experience) - 5+ years of professional software development experience, with a heavy emphasis on the .NET/C# ecosystem - Demonstrated hands-on experience integrating and leveraging AI technologies such as LLMs, NLP, Computer Vision, or recommendation engines in commercial projects - Strong understanding of AI/ML concepts including model training, data preprocessing, and optimization - Expertise in advanced prompt engineering, RAG architectures, and vector databases - Ability to analyze, fine-tune, select, and implement AI models and frameworks based on performance, cost, and latency constraints - Proven experience applying AI for process automation, analytics, or product enhancement - Familiarity with AI limitations and best practices in AI adoption and deployment - Experience with Microsoft Azure technologies, including Azure OpenAI and Azure ML pipelines - Solid understanding of SOLID principles, design patterns, microservices architecture, CI/CD pipelines, and database management (SQL and NoSQL) - Strong communication skills for explaining AI concepts and system designs to diverse audiences - Strong analytical and debugging skills - Comfortable working in an agile environment, mentoring junior engineers, and collaborating with Product Owners We offer - Engineering community of industry professionals - Friendly team and enjoyable working environment - Flexible schedule and remote work opportunity within Poland - Opportunity to work abroad for up to 60 days annually - Business-driven relocation opportunities - Career roadmap and leadership development programs - Certification support for GCP, Azure, and AWS - Access to LinkedIn Learning, Get Abstract, and Cloud Guru - English classes - Stable income (Employment Contract or B2B) - Employee Stock Purchase Plan participation - Benefits package including health insurance, multisport, and shopping vouchers - Modern offices with entertainment and relaxation zones - Referral bonuses - Corporate, social, and well-being events Please note: The set of bonuses might vary based on the role.

🏢 Summary: Senior .NET Engineer role focused on building enterprise-grade .NET applications and integrating advanced AI/ML solutions using Azure cloud technologies. The position involves architecting scalable microservices, deploying AI workloads, optimizing AI models, and driving AI-powered automation and analytics initiatives. The offer includes remote work flexibility, professional development programs, certifications, and comprehensive benefits. 🗂️ Requirements: Bachelor's or Master's degree in Computer Science, Software Engineering, Data Science, or related field, 5+ years of professional software development experience in .NET/C# ecosystem, Hands-on experience integrating AI technologies in commercial projects, Strong knowledge of AI/ML concepts, model training, and data preprocessing, Experience with prompt engineering, RAG architectures, and vector databases, Ability to evaluate, fine-tune, and implement AI models and frameworks, Experience applying AI for automation, analytics, or product enhancement, Experience with Microsoft Azure AI services and cloud deployments, Knowledge of SOLID principles, design patterns, microservices, CI/CD, SQL and NoSQL databases, Strong analytical, debugging, and communication skills, Experience working in agile environments and mentoring engineers 📃 Skills: C#, .NET, .NET8, ASP.NET, Microservices, AI, ML, LLM, NLP, RAG, Azure, AzureOpenAI, AzureML, AzureFunctions, CosmosDB, AKS, SQL, NoSQL, CI/CD, PromptEngineering, VectorDB 🏢 Description: We are seeking a highly skilled and forward-thinking Senior .NET Engineer with AI expertise to join our growing engineering team. In this role, you will bridge the gap between traditional enterprise .NET development and cutting-edge Artificial Intelligence. You will be responsible for designing, building, and deploying robust .NET applications while leading the integration, evaluation, and scaling of AI/ML models. Quick Facts - Flexible schedule and opportunity to work remotely within Poland - Chance to work abroad for up to 60 days annually - Business-driven relocation opportunities - Stable income (Employment Contract or B2B) - Participation in the Employee Stock Purchase Plan Responsibilities - Architect, develop, and maintain high-performance, scalable, and secure enterprise-grade applications using modern .NET stack (C#, .NET 8, ASP.NET Core, Microservices) - Lead the hands-on integration and leveraging of AI technologies in real-world, production-ready projects - Evaluate, select, and implement optimal AI models, frameworks, and orchestrators beyond basic API/tool usage to solve complex business problems - Apply a strong understanding of AI/ML concepts to drive high-quality model training, dataset preprocessing, and advanced prompt engineering techniques to maximize output accuracy and relevance - Proactively identify high-value opportunities within current workflows and products to apply AI for process automation, advanced analytics, or next-generation product enhancements - Design and manage cloud infrastructure utilizing Microsoft Azure Technologies (e.g., Azure OpenAI Service, Azure Cognitive Services, Azure Machine Learning, Azure Functions, Cosmos DB, and AKS) to deploy and scale AI workloads - Explain complex AI concepts, workflows, architectural designs, and trade-offs clearly to both technical developers and non-technical business stakeholders - Establish and adhere to guidelines regarding security, rate limits, latency optimization, data privacy, and ethical considerations during model deployment Requirements - Bachelor's or Master's degree in Computer Science, Software Engineering, Data Science, or a related field - 5+ years of professional software development experience with .NET/C# - Hands-on experience integrating AI technologies such as LLMs, NLP, Computer Vision, or recommendation engines in commercial projects - Strong understanding of AI/ML concepts including model training, data preprocessing, and optimization - Expertise in advanced prompt engineering, RAG architectures, and vector databases - Ability to analyze, fine-tune, select, and implement AI models and frameworks - Proven experience applying AI for process automation, analytics, or product enhancement - Experience deploying AI workloads with Microsoft Azure technologies including Azure OpenAI and Azure ML pipelines - Solid understanding of SOLID principles, design patterns, microservices architecture, CI/CD pipelines, and database management - Strong analytical, debugging, and communication skills - Comfortable working in agile environments, mentoring junior engineers, and collaborating with Product Owners Benefits - Engineering community of industry professionals - Friendly team and enjoyable working environment - Outstanding career roadmap - Leadership development, career advising, soft skills, and well-being programs - Certification support for GCP, Azure, and AWS - Unlimited access to LinkedIn Learning, Get Abstract, and Cloud Guru - English classes - Benefits package including health insurance, multisport, and shopping vouchers - Strategically located offices with entertainment and relaxation zones - Referral bonuses - Corporate, social, and well-being events Please note: The set of bonuses might vary based on the role applied for.

🏢 Summary: Senior .NET Engineer role focused on building enterprise-grade .NET applications and integrating advanced AI/ML solutions in production environments using Azure cloud technologies. The position involves architecting scalable microservices, deploying AI workloads, optimizing AI models, and driving AI-powered process automation and analytics initiatives. Candidates will work in an agile environment with opportunities for remote work, certifications, and career development. 🗂️ Requirements: Bachelor's or Master's degree in Computer Science, Software Engineering, Data Science, or related field, 5+ years of professional software development experience in .NET/C#, Hands-on experience integrating AI technologies in commercial projects, Strong knowledge of AI/ML concepts, model training, and data preprocessing, Experience with prompt engineering, RAG architectures, and vector databases, Ability to evaluate, fine-tune, and implement AI models and frameworks, Experience deploying AI workloads on Microsoft Azure, Knowledge of SOLID principles, design patterns, and microservices architecture, Experience with CI/CD pipelines and SQL/NoSQL databases, Strong analytical and debugging skills, Ability to communicate AI concepts to technical and non-technical stakeholders, Experience working in agile environments and mentoring engineers 📃 Skills: C#, .NET, ASP.NET, Microservices, Azure, AzureOpenAI, AzureML, AzureFunctions, CosmosDB, AKS, AI, ML, LLM, NLP, ComputerVision, RAG, SQL, NoSQL, CI/CD 🏢 Description: We are seeking a highly skilled and forward-thinking Senior .NET Engineer with AI expertise to join our growing engineering team. In this role, you will bridge the gap between traditional enterprise .NET development and cutting-edge Artificial Intelligence. Responsibilities - Architect, develop, and maintain high-performance, scalable, and secure enterprise-grade applications using modern .NET stack (C#, .NET 8, ASP.NET Core, Microservices) - Lead the hands-on integration and leveraging of AI technologies in real-world, production-ready projects - Evaluate, select, and implement optimal AI models, frameworks, and orchestrators to solve complex business problems - Apply AI/ML concepts to drive model training, dataset preprocessing, and advanced prompt engineering techniques - Identify opportunities to apply AI for process automation, analytics, and product enhancements - Design and manage cloud infrastructure utilizing Microsoft Azure technologies including Azure OpenAI Service, Azure Cognitive Services, Azure Machine Learning, Azure Functions, Cosmos DB, and AKS - Explain AI concepts, workflows, and architectural designs to technical and non-technical stakeholders - Establish guidelines regarding security, latency optimization, data privacy, and responsible AI deployment Requirements - Bachelor's or Master's degree in Computer Science, Software Engineering, Data Science, or related field - 5+ years of software development experience focused on .NET/C# - Experience integrating AI technologies such as LLMs, NLP, Computer Vision, or recommendation engines - Strong understanding of AI/ML concepts including model training and data preprocessing - Expertise in prompt engineering, RAG architectures, and vector databases - Ability to evaluate and implement AI models and frameworks based on performance and cost constraints - Experience applying AI for automation, analytics, or product enhancement - Experience with Microsoft Azure technologies including Azure OpenAI and Azure ML pipelines - Knowledge of SOLID principles, design patterns, microservices architecture, CI/CD pipelines, and SQL/NoSQL databases - Strong analytical, debugging, and communication skills - Comfortable mentoring junior engineers and collaborating in agile teams We offer - Engineering community of industry professionals - Friendly team and flexible remote work within Poland - Opportunity to work abroad for up to 60 days annually - Career roadmap, leadership development, and certification support - Access to LinkedIn Learning, Get Abstract, and Cloud Guru - English classes - Stable income via Employment Contract or B2B - Employee Stock Purchase Plan participation - Benefits package including health insurance, multisport, and shopping vouchers - Modern office spaces with entertainment and relaxation zones - Referral bonuses and well-being events Please note: The set of bonuses might vary based on the role.

🏢 Summary: Senior .NET Engineer role focused on building enterprise-grade .NET applications and integrating advanced AI/ML solutions in production environments using Azure cloud technologies. The position involves architecting scalable systems, implementing AI models and RAG solutions, and driving AI-powered automation and analytics initiatives. The offer includes flexible remote work within Poland, professional development programs, certifications, and comprehensive benefits. 🗂️ Requirements: Bachelor's or Master's degree in Computer Science, Software Engineering, Data Science, or related field, 5+ years of professional software development experience in .NET/C# ecosystem, Hands-on experience integrating AI technologies in commercial projects, Strong knowledge of AI/ML concepts, model training, and data preprocessing, Experience with prompt engineering, RAG architectures, and vector databases, Experience selecting, fine-tuning, and implementing AI models and frameworks, Experience with Microsoft Azure AI services and cloud deployments, Knowledge of SOLID principles, design patterns, microservices, CI/CD, SQL and NoSQL databases, Ability to explain technical AI concepts to technical and non-technical stakeholders, Strong analytical and debugging skills, Experience working in agile environments and mentoring engineers 📃 Skills: C#, .NET, ASP.NET, Microservices, Azure, OpenAI, AzureML, AzureFunctions, CosmosDB, AKS, LLMs, NLP, RAG, SQL, NoSQL, CI/CD, AI, ML 🏢 Description: We are seeking a highly skilled and forward-thinking Senior .NET Engineer with AI expertise to join our growing engineering team. In this role, you will bridge the gap between traditional enterprise .NET development and cutting-edge Artificial Intelligence. You will be responsible for designing, building, and deploying robust .NET applications while leading the integration, evaluation, and scaling of AI/ML models. Responsibilities - Architect, develop, and maintain high-performance, scalable, and secure enterprise-grade applications using modern .NET stack (C#, .NET 8, ASP.NET Core, Microservices) - Lead the hands-on integration and leveraging of AI technologies in real-world, production-ready projects - Evaluate, select, and implement optimal AI models, frameworks, and orchestrators beyond basic API/tool usage to solve complex business problems - Apply a strong understanding of AI/ML concepts to drive high-quality model training, dataset preprocessing, and advanced prompt engineering techniques to maximize output accuracy and relevance - Proactively identify high-value opportunities within current workflows and products to apply AI for process automation, advanced analytics, or next-generation product enhancements - Design and manage cloud infrastructure utilizing Microsoft Azure Technologies (e.g., Azure OpenAI Service, Azure Cognitive Services, Azure Machine Learning, Azure Functions, Cosmos DB, and AKS) to deploy and scale AI workloads - Explain complex AI concepts, workflows, architectural designs, and trade-offs clearly to both technical developers and non-technical business stakeholders - Establish and adhere to guidelines regarding security, rate limits, latency optimization, data privacy, and ethical considerations during model deployment Requirements - Bachelor's or Master's degree in Computer Science, Software Engineering, Data Science, or a related field (or equivalent practical experience) - 5+ years of professional software development experience, with a heavy emphasis on the .NET/C# ecosystem - Demonstrated hands-on experience integrating and leveraging AI technologies (such as LLMs, NLP, Computer Vision, or recommendation engines) in real-world, commercial projects - Strong understanding of core AI/ML concepts including model training, data preprocessing, and optimization - Expertise in advanced prompt engineering, RAG architectures, and vector databases - Ability to critically analyze, fine-tune, and select and implement AI models and frameworks based on performance, cost, and latency constraints - Proven track record of identifying opportunities to apply AI for process automation, analytics, or product enhancement - Familiarity with limitations and best practices in AI adoption and deployment - Proven experience working with Microsoft Azure Technologies, specifically deploying AI workloads through Azure OpenAI, Azure ML pipelines, and standard cloud services - Solid understanding of SOLID principles, design patterns, microservices architecture, CI/CD pipelines, and database management (SQL and NoSQL) - Strong capacity to translate and explain AI concepts, technical workflows, and system designs to diverse audiences - Strong analytical and debugging skills with a proactive mindset focused on resolving business challenges through technology - Comfortable working in an agile environment, mentoring junior engineers, and pairing with Product Owners to shape the AI roadmap We offer - Engineering community of industry professionals - Friendly team and enjoyable working environment - Flexible schedule and opportunity to work remotely within Poland - Chance to work abroad for up to 60 days annually - Business-driven relocation opportunities - Outstanding career roadmap - Leadership development, career advising, soft skills, and well-being programs - Certification support (GCP, Azure, AWS) - Unlimited access to LinkedIn Learning, Get Abstract, Cloud Guru - English classes - Stable income (Employment Contract or B2B) - Participation in the Employee Stock Purchase Plan - Benefits package including health insurance, multisport, and shopping vouchers - Offices with entertainment and relaxation zones, free snacks, and coffee - Referral bonuses - Corporate, social, and well-being events Please note: The set of bonuses might vary based on the role.

🏢 Summary: Development of a large-scale e-commerce platform leveraging AI and NLP technologies to enhance search, content quality, and process automation. The role involves designing and implementing complex microservices-based solutions, integrating LLMs, and ensuring high standards of scalability, stability, and observability in a cloud environment. The position includes full lifecycle development within an agile team, from architecture decisions to deployment and maintenance. 🗂️ Requirements: At least 5 years of experience with Kotlin and Java, Strong knowledge of Spring framework, Experience with Gradle and Reactor, Experience with Azure Spring Apps, Practical experience with microservices architecture, Experience with MongoDB, CosmosDB, or Elasticsearch, Proficiency in designing and implementing REST APIs, Experience with AI-based solutions and LLM integration, Ability to design and implement complex system components, Experience in architectural decision-making, Knowledge of monitoring and logging practices, Good command of English (B2/C1 level) 📃 Skills: Kotlin, Java, Spring, Gradle, Reactor, Azure, MongoDB, CosmosDB, Elasticsearch, REST, LLM, AI, NLP, Microservices, GCP, Kubernetes 🏢 Description: Development of an e-commerce project for a client that is one of the largest companies in this sector in the country. A project utilizing AI and NLP technologies for large-scale analysis and processing of text content, supporting key digital platform functionalities such as search, content quality, and process automation Our expectations Extensive, at least 5 years, experience with Kotlin and Java witch proven track record in delivering high-complexity solutions. Strong knowledge of Spring, Gradle, Reactor, and Azure Spring Apps. Practical experience working within a microservices architecture. Familiarity with databases such as MongoDB, CosmosDB, and Elasticsearch. Proficiency in designing and working with REST APIs. Experience and a strong interest in AI-based solutions, specifically LLM integration. Ability to lead the design and implementation of complex system functionalities and components. Strong sense of ownership over delivered solutions, including code quality, stability, scalability, and observability (monitoring, logging). Experience in architectural decision-making and evaluating technical trade-offs. Ability to identify and manage technical risks, dependencies, and technical debt. Evaluating technical decisions and high level of autonomy and accountability. Good command of English (B2/C1 level). Readiness to work in a hybrid workmodel, fostering a collaborative and engaging team environment. Nice to have Hands-on experience with cloud environments (GCP preferred) and Kubernetes. Experience working with large, distributed systems. Experience in cross-team collaboration within complex organizational structures. Providing technical consultancy and knowledge sharing within the project team. Advising on technical best practices and optimizing engineering standards within the project. Main responsibilities Software development within a development team using agile methodology Participation in team meetings and collaborative creation and execution of assigned tasks Active involvement in delivering increasingly better programming solutions throughout the full project lifecycle — code reviews, testing others’ changes, deployment, maintaining cloud infrastructure, and creating documentation