Senior .NET Developer (AI / Microsoft Ecosystem)

🏢 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: Remote .NET Developer role focused on building and maintaining applications enhanced with AI functionalities. The position involves collaborating on software design, improving AI performance, and ensuring code quality through reviews and best practices. Requires hands-on experience in .NET and practical knowledge of AI technologies. 🗂️ Requirements: Proven experience in .NET development, Practical experience with AI technologies, Knowledge of machine learning concepts, Mid-senior level software development experience, Ability to develop and maintain .NET applications, Experience with debugging and performance optimization 📃 Skills: .NET, C#, AI, MachineLearning, Python, Java, Cloud, Agile 🏢 Description: We are seeking a skilled .NET Developer with experience in Artificial Intelligence (AI) to join a dynamic team. The ideal candidate will exhibit proficiency in .NET development and possess a practical understanding of AI technologies. This position is remote, providing flexibility, with occasional required visits to the office in Trofa. Main Responsibilities Develop and maintain .NET applications with AI functionalities. Collaborate with cross-functional teams to design software solutions. Conduct code reviews and implement best practices. Assess and improve performance of AI implementations. Participate in debugging and troubleshooting processes. Key Requirements Proven experience in .NET development. Familiarity with AI and machine learning technologies. Strong problem-solving skills and attention to detail. Mid-senior level proficiency in software development. Ability to work effectively in a remote environment. Nice to Have Experience with cloud services. Familiarity with Agile methodologies. Additional programming skills in languages such as Python or Java.

🏢 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 Fullstack Engineer role focused on delivering full-stack solutions within an AI-integrated SDLC where AI is embedded across planning, development, review, testing, and deployment. The position combines backend and frontend engineering with AI orchestration, automation, and cloud-native architecture in a remote-first setup. The engineer will also evolve shared AI toolchains and contribute to architectural and code quality standards. 🗂️ Requirements: Team-level AI-integrated SDLC experience across planning, development, review, testing, deployment, Shared AI toolchain management under version control, Hands-on use of Claude Code, GitHub Copilot, Cursor or equivalent as team tools, Building and maintaining custom AI skills and sub-agents for team use, Experience with parallel AI agent orchestration, Spec-driven development using OpenAPI, ADRs, PRDs as AI context, AI-assisted code review integrated into PR process, Working knowledge of AI orchestration frameworks, Backend development with .NET / C# and ASP.NET Core, Frontend development with TypeScript and React or Angular, Experience with SQL databases and ORM frameworks, Experience with Docker and Kubernetes, Experience with CI/CD pipelines, Experience with cloud platforms (Azure, AWS, or GCP) 📃 Skills: C#, .NET, ASP.NET, SQL, SQLServer, PostgreSQL, EFCore, OAuth, JWT, Python, Java, Node.js, TypeScript, JavaScript, React, Angular, LangChain, LlamaIndex, CrewAI, Docker, Kubernetes, GitHubActions, AzureDevOps, Azure, AWS, GCP, OpenAPI, CQRS, DDD, EventSourcing, Microservices 🏢 Description: We are looking for a Senior Fullstack Engineer who combines deep technical expertise with real, team-level experience working in an AI-integrated software development lifecycle. Individual use of AI coding assistants is not sufficient for this role. We are specifically looking for engineers who have worked in teams where AI was embedded into every phase of delivery — from planning and design through development, review, testing, and deployment. We follow a remote-first setup with no mandatory regular office visits for this position. From time to time, you may be invited to join in-person meetings in one of our offices (Warsaw, Lodz, Wroclaw, Gdansk, or Bialystok), for example for client visits or team reunions. AI-First Requirements Experience working in an AI-enabled engineering team is mandatory — not a personal workflow preference. You have been part of a team where AI was systematically embedded across all delivery phases: planning, development, review, testing, and deployment. You can speak from direct experience about how it worked, what failed, and what you would change. Specific mandatory requirements: Team-level AI-integrated SDLC experience — shared toolchain, shared configurations, shared assets under version control Hands-on with Claude Code, GitHub Copilot, Cursor, or equivalent as a team tool, not only personal usage Built and maintained custom skills and sub-agents used across a team, not just personally Experience with parallel agent orchestration for concurrent workstream execution Disciplined plan → review plan → execute approach with AI involved at every phase Maintained shared prompt libraries, skill repositories, or agent configurations in version control AI-assisted code review integrated into the PR process: CodeRabbit, Copilot review, or similar Experience with spec-driven or document-driven development where structured specifications (OpenAPI, ADRs, PRDs) serve as AI context inputs, not just human references Working knowledge of at least one AI orchestration framework: LangChain, LlamaIndex, Microsoft Agent Framework, CrewAI, or equivalent Automation-first mindset: proactively identify repetitive or inefficient parts of current work and automate them using AI and other available tools. Cost-aware AI usage: understanding how AI credits are consumed across different tools, models, and workflows, and ability to choose the most appropriate model or approach for each task. Technical Requirements Backend: .NET / C#, ASP.NET Core, SQL Server / PostgreSQL, EF Core, OAuth 2.0 / JWT. Python, Java, or Node.js is a strong plus. Frontend: TypeScript, JavaScript, React(preferable) and/or Angular, state management, async patterns, frontend testing. Architecture: Full spectrum from monolith to microservices — DDD, CQRS, Event Sourcing, event-driven design, message brokers. Infrastructure: Docker, Kubernetes, CI/CD (GitHub Actions / Azure DevOps), Azure / AWS / GCP, structured observability. Responsibilities Deliver full-stack features to a high standard of quality, performance, and reliability Contribute to architectural decisions and system design trade-offs Evolve and maintain the team's shared AI toolchain across all SDLC phases Conduct code reviews including AI-assisted tooling; uphold and enforce engineering best practices Proactively surface risks, bottlenecks, and security concerns Communicate and collaborate directly with clients in English Mentor engineers on both technical fundamentals and AI-augmented workflow practices Professional Qualities Ownership mindset · Strong written and verbal English · Comfortable in client-facing roles · Raises the AI workflow maturity of those around them

🏢 Summary: Senior AI-first Engineer role focused on building and modernizing full-stack systems using advanced AI-assisted development workflows. The position involves designing scalable architectures, delivering production-grade .NET and React solutions, and orchestrating multiple AI agents for parallel task execution. Work spans distributed systems, cloud environments, and high-quality engineering practices in client-facing projects. 🗂️ Requirements: Hands-on experience with AI coding assistants (Claude Code, GitHub Copilot, Cursor or equivalent), Ability to build custom AI skills and orchestrate multiple AI agents in parallel, Strong prompt engineering with critical evaluation of AI-generated output, Production experience with .NET and C# for REST APIs and middleware, Deep knowledge of OAuth2, OpenIDConnect, and JWT, Strong proficiency in JavaScript and TypeScript, Minimum 2 years production experience with React, Experience with state management, asynchronous patterns, and frontend testing, Experience designing monolith, microservices, and distributed architectures, Knowledge of DDD, CQRS, EventSourcing, and event-driven systems, Experience with message brokers (Kafka, RabbitMQ, AzureServiceBus or similar), Hands-on experience with Docker and knowledge of Kubernetes, Experience with CI/CD pipelines, Experience with cloud platforms (Azure, AWS, or GCP), Strong knowledge of SQL and ORM tools 📃 Skills: C#, .NET, REST, OAuth2, OpenIDConnect, JWT, JavaScript, TypeScript, React, DDD, CQRS, EventSourcing, Kafka, RabbitMQ, AzureServiceBus, Docker, Kubernetes, GitHubActions, AzureDevOps, Azure, AWS, GCP, SQL, NoSQL, Python, Java, Node.js, Copilot, Claude, Cursor 🏢 Description: We are looking for a Senior AI-first Engineer who combines deep technical expertise with a genuine, hands-on approach to AI-assisted development. You will work across varied client engagements — from modernizing legacy systems to architecting new products — and are expected to contribute at a high level regardless of project context. The ideal candidate has built a real, personalized AI development workflow — including custom skills, reusable prompt templates, and project-level instructions — and continues to refine it. Out-of-the-box tool usage is not sufficient for this role. We follow a remote-first setup with no mandatory regular office visits for this position. From time to time, you may be invited to join in-person meetings in one of our offices (Warsaw, Lodz, Wroclaw, Gdansk, or Bialystok), for example for client visits or team reunions. Responsibilities Design, develop, and maintain full-stack features with high standards of quality, performance, and reliability Apply AI tools throughout the workflow: generation, refactoring, review, testing, and research Contribute to architectural decisions — technology selection, system design, and trade-off analysis Conduct thorough code reviews and uphold engineering best practices across the team Identify risks, bottlenecks, and security concerns proactively and propose solutions Work directly with clients in English — requirements clarification, technical discussions, progress updates Mentor junior and mid-level engineers through day-to-day guidance and knowledge sharing Stay current with AI tooling developments and contribute findings to the broader team Requirements Hands-on experience with Claude Code, GitHub Copilot, Cursor, or equivalent AI coding assistants Ability to create custom skills and sub-agents and orchestrate multiple AI agents in parallel for concurrent task execution Strong prompt engineering skills; able to produce reliable, high-quality output and critically evaluate AI-generated results Production-grade .NET / C# (REST APIs, middleware, dependency injection) with solid understanding of OAuth 2.0, OpenID Connect, and JWT Deep proficiency in JavaScript and TypeScript 2+ years of hands-on production experience with React (highly preferable) and/or Angular Strong grasp of state management, asynchronous patterns, and frontend testing Confident designing systems across monoliths, microservices, and distributed architectures Working knowledge of DDD, CQRS, Event Sourcing, and event-driven systems, including message brokers (Kafka, RabbitMQ, Azure Service Bus, or similar) Hands-on use of Docker and working knowledge of Kubernetes, along with CI/CD pipelines (GitHub Actions, Azure DevOps, or similar) Experience with cloud platforms (Azure, AWS, or GCP) and observability practices (structured logging, distributed tracing, alerting) Solid background with SQL databases and ORMs; familiarity with NoSQL is a plus Additional exposure to Python, Java, or Node.js is highly desirable Clear communication skills in English (B2+), both written and spoken; comfortable in client-facing environments Salary ranges B2B 135 - 195 PLN/ hour EC 17000 - 24000 PLN/ month