Senior Python Developer

🏢 Summary: Senior Python Engineer role focused on building AI-powered products and internal platforms using Python and modern cloud technologies. The position involves developing secure, production-grade backend systems, contributing to frontend components, and implementing AI-driven solutions such as agentic systems and vector search. Work is delivered in agile teams with strong emphasis on cloud-native architecture and high engineering standards. 🗂️ Requirements: Bachelor’s or Master’s degree in technical field, 7+ years software development experience, Senior-level experience in large tech environment, Strong Python backend experience, Production experience with FastAPI, Hands-on experience with cloud platforms, Experience with Docker or Kubernetes, Experience with SQL and NoSQL databases, Experience with messaging queues, Practical experience with AI systems in production 📃 Skills: Python, FastAPI, Django, Vue, React, Angular, Svelte, AWS, Azure, GCP, Docker, Kubernetes, SQL, NoSQL, Pinecone, CrewAI, MCP, A2A, Microservices 🏢 Description: We’re looking for a Senior Python Engineer to help build AI‑powered products and internal platforms used across the company. You’ll join a fast‑moving engineering team where AI accelerates development, improves productivity, and shapes how new solutions are delivered. Security, compliance, and high engineering standards are essential, especially for production systems handling sensitive data. What you’ll do Build end‑to‑end features using Python (FastAPI, Django) as your primary backend stack. Contribute to frontend development when needed — experience with Vue is a plus, but React, Angular, or Svelte are also welcome. Develop cloud‑native systems on AWS, Azure, or GCP, working with containers, databases, and messaging systems. Contribute to AI initiatives, including agentic systems, vector search, and prompt‑driven workflows. Work in small, agile squads with the flexibility to move between projects as priorities evolve. Required qualifications Bachelor’s or Master’s degree in a technical field. At least 7 years of software development experience, including senior‑level work in a large tech environment. Strong backend experience with Python and FastAPI, with proven production delivery. Frontend experience is a plus (Vue preferred, but any modern JavaScript framework is welcome). Hands‑on experience with cloud platforms, Docker or Kubernetes, SQL and NoSQL databases, and messaging queues. Practical experience working with AI systems or AI‑driven features in production environments. Preferred qualifications Experience with vector databases such as Pinecone or Azure AI Search. Knowledge of prompt engineering, context management, and LLM‑driven workflows. Experience with agentic AI frameworks such as CrewAI, Microsoft Agent Framework, or AWS Agent Core. Familiarity with agentic protocols like A2A or MCP. Background in distributed systems and microservices. Experience working in agile teams. Understanding of agentic AI concepts or hands‑on exposure to agent‑based architectures. Strong grasp of engineering best practices, design patterns, and secure coding. Clear communication skills and the ability to explain technical concepts.

🏢 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 .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: Senior AI Engineer role focused on building and deploying production-grade AI solutions using Python, FastAPI, Azure, Generative AI, RAG, and agentic frameworks in a hybrid work model. The position includes backend architecture, AI pipeline development, MLOps ownership, and mentoring responsibilities. 🗂️ Requirements: 6–10 years of software engineering experience, Strong AI/ML engineering background, Expertise in Python, Expertise in FastAPI, Experience with LLMs, Experience with RAG pipelines, Experience with vector databases, Hands-on experience with agentic AI frameworks, Production experience with Azure cloud services, Knowledge of MLOps, Experience with Docker, Experience with Kubernetes, Experience with CI/CD 📃 Skills: Python, FastAPI, Azure, LLMs, RAG, Pinecone, Milvus, LangChain, LangGraph, AutoGen, CrewAI, Docker, Kubernetes, CI/CD, MLOps, AKS 🏢 Description: Location: Wroclaw, Poland (Hybrid: 3 days/week in-office) Experience: 6–10 years About the Role We are looking for a Senior AI Engineer to design, develop, and deploy production-grade AI solutions using Python, FastAPI, and Azure, with a strong focus on Generative AI, LLMs, RAG, and agentic frameworks. Key Responsibilities Architect and implement scalable backend services with Python and FastAPI . Build and optimize RAG pipelines using vector databases (e.g., Pinecone, Milvus, Azure Cognitive Search). Develop autonomous agents using agentic AI frameworks (LangChain, LangGraph, AutoGen). Deploy and manage AI workloads on Azure (Azure ML, AKS, OpenAI Service). Own the full ML lifecycle: experimentation, versioning, CI/CD, and monitoring. Mentor junior engineers and drive technical best practices. Required Skills 6–10 years of software engineering experience, with strong focus on AI/ML. Expert in Python and FastAPI . Deep experience with LLMs , RAG , and vector databases . Hands-on experience with agentic frameworks (LangChain, CrewAI, etc.). Production experience with Azure cloud services. Strong understanding of MLOps, containerization (Docker/Kubernetes), and CI/CD.

🏢 Summary: Remote Senior Python AI Developer role focused on building and scaling an AI-driven product platform. The position involves developing backend APIs, AI/ML workflows, document processing, retrieval systems, and integrating structured data into reliable, user-facing features. You will contribute across backend and frontend to deliver explainable, production-ready AI-powered solutions. 🗂️ Requirements: 5+ years professional software engineering experience, Strong experience with Python, Experience building backend APIs, Experience with FastAPI or similar frameworks, Experience with AI/ML product workflows, Experience designing and consuming API contracts and JSON schemas, Experience with asynchronous workflows and background jobs, Experience handling retries, partial failures, and process status, Commercial experience with React, Commercial experience with TypeScript, Experience writing tests for APIs and edge cases, Experience with retrieval systems, embeddings, or LLM APIs 📃 Skills: Python, FastAPI, AI, ML, APIs, JSON, React, TypeScript, LLM, OpenAI, Gemini, Anthropic, Embeddings, Vector, Firebase, Firestore, GCP, CloudRun, CloudSQL, Neo4j 🏢 Description: We are looking for a Senior Python AI Developer to build and scale an AI driven product platform in a fully remote setup. The role focuses on developing reliable product features around AI / ML workflows, document processing, retrieval systems, structured data, and user facing outputs that need to be clear, explainable, and easy to inspect. ✅ Your responsibilities: ・Developing backend APIs in Python with FastAPI , for document upload, asynchronous processing, job status, retries, partial success, and structured results. ・Building product workflows around AI outputs, retrieval systems, document processing, and structured data . ・Connecting backend services, frontend applications, data workflows, and AI generated outputs into a reliable product experience. ・Creating user facing features that make AI outputs easier to inspect through source references, confidence signals, warnings, and clear error states. ・Working with structured data, documents, tables, financial metrics, and normalized evidence flows. ・Contributing to frontend features using React and TypeScript , especially around workflow status, evidence review, recommendations, and decision outputs. ・Writing tests around API contracts, edge cases, error cases, and realistic user workflows. 🧠 Our requirements: ・5+ years of professional software engineering experience. ・Strong experience with Python and backend API development. ・Experience with modern API frameworks, ideally FastAPI or similar. ・Good understanding of AI / ML product workflows or strong interest in building software around AI outputs. ・Experience designing and consuming API contracts, schemas, and structured JSON payloads. ・Comfort with asynchronous workflows, background jobs, retries, partial failures, and user visible process status. ・Commercial experience with modern frontend applications, preferably with React and TypeScript . ・Good testing habits, especially around edge cases, failure cases, and API behavior. ・Experience with AI / ML product workflows, including retrieval systems, embeddings, vector search, LLM based applications, or LLM APIs such as OpenAI, Gemini, Anthropic / Claude. ⭐ Nice to have: ・Experience with data heavy products, including data workflows, document processing, data normalization, or working with structured evidence. ・Experience with cloud and data infrastructure, ideally Firebase, Firestore, Google Cloud Platform, Cloud Run, Cloud SQL, vector search, or Neo4j. 🌟 What we offer: ・100% remote work. ・Opportunity to work on a modern AI / ML product platform. ・Private healthcare and Multisport. ・Life insurance. ・Real influence on technical decisions and architecture. ・Exposure to modern AI, data, and product engineering challenges. ・Collaborative and supportive team environment.