.NET Software Engineer - Web Applications

🏢 Summary: Product Manager role owning a core product area focused on building infrastructure for industrial AI. The position bridges complex technical systems, AI capabilities, and customer workflows to define strategy, shape features, and deliver high-impact solutions. It involves close collaboration with engineering and design teams in a fully remote, fast-paced environment. 🗂️ Requirements: 5-8+ years in Product Management or Product Ownership, Proven experience defining product vision and roadmaps, Hands-on knowledge of LLMs and agentic systems, Experience building AI-related prototypes or projects, Experience with Agile methodologies (Scrum or Kanban), Ability to create user stories, specifications, acceptance criteria, Experience managing product backlogs and sprint planning, Strong stakeholder management skills, Ability to define and track KPIs, Experience working with engineering teams on technical trade-offs, Fluent English (C1 level) 📃 Skills: AI, LLM, Agile, Scrum, Kanban, KPIs, APIs, UX, Analytics, ProductManagement, AgenticSystems 🏢 Description: About Cerebre cerebre is on a mission to build the data foundation of the physical world. We offer a live intelligence map of a facilities – built from schematics to power AI. Often called the “brain” of the digital twin, cerebre helps engineers, data scientists, and business teams understand data within the context of the plant. We collaborate with the world’s largest companies and most innovative partners who are transforming the industrial sector. cerebre is a global team of engineers, scientists, innovators, and explorers united by a mission to help the world’s largest manufacturing facilities build and use intelligence. Our development team is made up of world-class engineers who design and deliver novel solutions. This is an opportunity to join a market-leading team that is changing how the industrial world works. If you love building and creating value in the “white space,” if you thrive with the freedom and flexibility to think outside the box, if you are passionate about working with critical thinkers who challenge the status quo, and if you aspire to work in a fast-paced environment – we would love to meet you! We believe flexibility drives creativity and that our team should live and work where we can be our best selves. We’re 100% remote and offer a competitive time-off package to ensure time for rest and recharge. About the role We're looking for a Product Manager to own a core product area at Cerebre. We're building infrastructure for industrial AI, and this role sits at the intersection of complex technical systems, customer-facing workflows, and emerging AI capabilities. You will work closely with our engineers, designers, and clients to shape product strategy, define features, and ensure timely delivery of high-impact solutions. Key Responsibilities Product Vision & Roadmap: Define and communicate direction for your product area, aligned with Cerebre's broader strategy. Backlog Management: Own, prioritize, and refine the product backlog to ensure that development efforts focus on the highest-value items. Stakeholder Alignment: Partner with leadership, customers, and cross-functional teams to ensure the product reflects real needs and strategic intent. Translate strategy into execution: Turn outcomes and hypotheses into clear user stories, specs, and acceptance criteria. Sprint Planning & Execution: Partner with engineering and design teams to plan sprints, ensure clarity on deliverables, and resolve blockers. Market & User Insights: Continuously pull & distill signal from customers, partners, and the broader industrial AI landscape to inform decisions. Performance Tracking: Define and monitor KPIs to measure product success and inform future improvements. Process Improvement: Help evolve Agile practices and product workflows to increase efficiency and effectiveness. Customer Engagement: Support customer conversations, demos, and feedback sessions. Required Skills 5-8+ years of professional experience in product ownership or product management, with a track record of defining vision, building roadmaps, and shipping. Working knowledge of AI and agentic systems: You understand how LLMs work, what agentic workflows are, and where they break. You've built something yourself in this space (a prototype, personal side project, hands-on engagement, etc.) & can speak credibly about it. Self-starter with sharp instincts for the right questions: You don't wait to be told what matters. You can walk into ambiguity, figure out what's going on, and ask the questions that surface the real problem. Strong communication skills: Ability to translate technical concepts into business terms and business needs into clear product requirements. Experience with Agile methodologies: Familiarity with Scrum or Kanban, including backlog grooming, sprint planning, and retrospectives. Stakeholder management: Proven ability to balance the needs of customers, internal teams, and leadership, ensuring alignment on priorities. Analytical thinking: Skilled at gathering insights from data, feedback, and market trends to inform product decisions. User-centric mindset: Experience defining features that create intuitive, valuable user experiences. Technical familiarity: Comfort working with engineering teams and understanding technical trade-offs. Strong organizational skills: Ability to manage multiple priorities in a fast-paced, remote environment. At least C1 English level: Strong command of English for effective collaboration in a global team. Preferred Skills Previous experience in a high-growth startup environment. Previous experience being an initial PM for an application or new product surface area. Familiarity with industrial data, engineering software, or digital twins a plus Knowledge of UX/UI principles to support feature design and user flows. Experience building API products or developer-facing platforms a plus Background in data-driven product development and analytics. Certification as a Certified Scrum Product Owner (CSPO) or equivalent. More about Cerebre We are cross-functional collaborators. We blend manufacturing process knowledge with software and big data engineering expertise to create value in physical settings We are experienced. We are armed with industry-leading experts in numerical simulation, combustion, power, computational fluid dynamics, and chemical process modeling We are serious builders. We develop our platforms using leading practices in IT/OT architecture, OT security, AI architecture, ML Ops, and Platform engineering

🏢 Summary: Senior Engineer role focused on owning and evolving the query and compiler pipeline, translating complex queries into efficient, scalable execution plans. The position drives advanced optimization strategies across AST transformations and execution planning while ensuring strict correctness of query semantics. The role directly impacts system performance, scalability, and database engine reliability in a graph-oriented environment. 🗂️ Requirements: Expert-level experience in C# and .NET backend development, Strong database design experience, Proven query performance optimization experience, Experience designing and tuning database indexes, Experience with graph databases or relationship-heavy data models, Ability to analyze and optimize query execution plans, Experience profiling backend or database-heavy production systems, Strong knowledge of data structures and algorithms for database workloads, Experience maintaining database stability, replication, and sharding 📃 Skills: C#, .NET, SQL, Cypher, Gremlin, SPARQL, ANTLR, Neo4j, Memgraph, FalkorDB, RedisGraph, PostgreSQL, SQLServer, AST, Compilers, Profiling, Sharding, Replication, Indexing, Algorithms 🏢 Description: About Cerebre Cerebre is on a mission to build the data foundation of the physical world. We offer a live intelligence map of facilities, built from schematics to power AI. Often called the “brain” of the digital twin, cerebre helps engineers, data scientists, and business teams understand data within the context of the plant. We collaborate with the world’s largest companies and most innovative partners who are transforming the industrial sector. Cerebre is a global team of engineers, scientists, innovators, and explorers united by a mission to help the world’s largest manufacturing facilities build and use intelligence. Our development team is made up of world-class engineers who design and deliver novel solutions. This is an opportunity to join a market-leading team that is changing how the industrial world works. If you love building and creating value in the “white space,” if you thrive with the freedom and flexibility to think outside the box, if you are passionate about working with critical thinkers who challenge the status quo, and if you aspire to work in a fast-paced environment, then we would love to meet you! We believe flexibility drives creativity and that our team should live and work where we can be our best selves. We’re 100% remote and offer a competitive time-off package to ensure time for rest and recharge. About the role We are seeking a Senior Engineer to take ownership of critical components of our query and compilation systems. In this role, you will drive the design and evolution of the compiler pipeline, from parsing and AST construction through validation, optimization, and execution-plan generation, ensuring that complex queries are translated into efficient, scalable, and reliable operations across the platform. A core responsibility of this role is leading the design and implementation of advanced optimization strategies. You will develop and refine transformation pipelines, including rewrite rules and optimization passes, that significantly improve performance while maintaining strict correctness of query semantics. This includes optimizing how data is traversed, filtered, aggregated, and executed, with a strong awareness of backend behavior and system constraints. As a senior member of the team, you will operate with a high degree of ownership in ambiguous and complex problem spaces, shaping both system architecture and technical direction. You will collaborate closely with engineers across the platform to ensure that optimizations are robust, maintainable, and aligned with real-world usage patterns. Your work will directly influence system performance, scalability, and the overall developer and user experience. Key Responsibilities Maintain and extend the compiler pipeline, including grammar, AST construction, validation, compilation, and execution-plan generation. Design and implement optimization passes over the AST and execution plan, such as simplification, predicate pushdown, filter combination, dead-step elimination, repetition/path rewrites, and plan normalization. Improve query performance by identifying inefficiencies in traversal, filtering, projection, aggregation, and backend interaction. Preserve correctness of query semantics while introducing compiler optimizations and refactors. Maintain and extend the database engine in terms of stability, replication, sharding, and observability. Required Skills Expert-level C# / .NET backend engineering. Strong database design experience. Strong query performance optimization experience. Strong experience designing and tuning database indexes. Experience with graph databases, knowledge graphs, or relationship-heavy data models. Ability to reason about query execution plans, data access patterns, and performance tradeoffs. Experience profiling backend/database-heavy systems in production. Strong understanding of data structures and algorithms as applied to database/query workloads. Preferred Skills Experience building query engines, query planners, interpreters, rule engines, or DSLs. Experience with graph query languages such as Cypher, Gremlin, SPARQL, or similar. Experience with query rewrite techniques such as predicate pushdown, plan normalization, filter combination, or traversal simplification. Experience with parser generators such as ANTLR, or hand-written parsers. Experience with graph-specific operations such as neighbor traversal, pathfinding, subgraph matching, or recursive traversals. Experience with FalkorDB, Neo4j, Memgraph, RedisGraph, SQL Server, PostgreSQL, or similar database systems. More about Cerebre We are cross-functional collaborators. We blend manufacturing process knowledge with software and big data engineering expertise to create value in physical settings We are experienced. We are armed with industry-leading experts in numerical simulation, combustion, power, computational fluid dynamics, and chemical process modeling We are serious builders. We develop our platforms using leading practices in IT/OT architecture, OT security, AI architecture, ML Ops, and Platform engineering

🏢 Summary: Senior Engineer role focused on owning and evolving a query compiler pipeline, from parsing and AST construction to optimization and execution-plan generation. The position centers on designing advanced optimization passes and rewrite rules to ensure efficient, scalable, and semantically correct query execution. The engineer will shape system architecture and improve performance across traversal, filtering, aggregation, and backend interactions. 🗂️ Requirements: Strong professional experience in C# and .NET, Experience maintaining compilers, interpreters, query planners, or rule engines, Solid understanding of parsing, ASTs, semantic validation, and query generation, Experience designing optimization passes or rewrite rules with semantic correctness, Ability to reason about execution plans and backend-aware performance tradeoffs, Proficiency in English 📃 Skills: C#, .NET, ANTLR, gRPC, ASP.NET, Parsing, AST, Compilers, Optimization, Profiling, Graph, Relational 🏢 Description: About cerebre 👇 Cerebre is on a mission to build the data foundation of the physical world. We offer a live intelligence map of facilities, built from schematics to power AI. Often called the “brain” of the digital twin, cerebre helps engineers, data scientists, and business teams understand data within the context of the plant. We collaborate with the world’s largest companies and most innovative partners who are transforming the industrial sector. Cerebre is a global team of engineers, scientists, innovators, and explorers united by a mission to help the world’s largest manufacturing facilities build and use intelligence. Our development team is made up of world-class engineers who design and deliver novel solutions. This is an opportunity to join a market-leading team that is changing how the industrial world works. If you love building and creating value in the “white space,” if you thrive with the freedom and flexibility to think outside the box, if you are passionate about working with critical thinkers who challenge the status quo, and if you aspire to work in a fast-paced environment, then we would love to meet you! We believe flexibility drives creativity and that our team should live and work where we can be our best selves. We’re 100% remote and offer a competitive time-off package to ensure time for rest and recharge. 📌 About the role We are seeking a Senior Engineer to take ownership of critical components of our query and compilation systems. In this role, you will drive the design and evolution of the compiler pipeline, from parsing and AST construction through validation, optimization, and execution-plan generation, ensuring that complex queries are translated into efficient, scalable, and reliable operations across the platform. A core responsibility of this role is leading the design and implementation of advanced optimization strategies. You will develop and refine transformation pipelines, including rewrite rules and optimization passes, that significantly improve performance while maintaining strict correctness of query semantics. This includes optimizing how data is traversed, filtered, aggregated, and executed, with a strong awareness of backend behavior and system constraints. As a senior member of the team, you will operate with a high degree of ownership in ambiguous and complex problem spaces, shaping both system architecture and technical direction. You will collaborate closely with engineers across the platform to ensure that optimizations are robust, maintainable, and aligned with real-world usage patterns. Your work will directly influence system performance, scalability, and the overall developer and user experience. ⚙️ Key Responsibilities Maintain and extend the compiler pipeline, including grammar, AST construction, validation, compilation, and execution-plan generation. Design and implement optimization passes over the AST and execution plan, such as simplification, predicate pushdown, filter combination, dead-step elimination, repetition/path rewrites, and plan normalization. Improve query performance by identifying inefficiencies in traversal, filtering, projection, aggregation, and backend interaction. Preserve correctness of query semantics while introducing compiler optimizations and refactors. 📜 Required Skills Strong professional experience in C# and .NET. Experience maintaining compilers, interpreters, query planners, rule engines, or other transformation-heavy systems. Solid understanding of parsing, ASTs, semantic validation, and code or query generation. Experience designing optimization passes or rewrite rules with strong attention to semantic correctness. Ability to reason about execution plans, performance tradeoffs, and backend-aware optimization. Proficient in English language 🎯 Preferred Skills Experience with ANTLR or similar parser generators. Experience with query engines, graph databases, relational planners, or traversal-heavy workloads. Familiarity with optimization techniques such as constant folding, canonicalization, predicate pushdown, common-subexpression elimination, and plan simplification. Experience with gRPC and ASP.NET services in production systems. Experience profiling .NET applications and improving throughput or memory behavior in execution-heavy pipelines. More about cerebre 🚀 We are cross-functional collaborators. We blend manufacturing process knowledge with software and big data engineering expertise to create value in physical settings We are experienced. We are armed with industry-leading experts in numerical simulation, combustion, power, computational fluid dynamics, and chemical process modeling We are serious builders. We develop our platforms using leading practices in IT/OT architecture, OT security, AI architecture, ML Ops, and Platform engineering

🏢 Summary: Build and productionize AI systems that reason over structured industrial knowledge graphs using LLMs, RAG, and agent-based architectures. The role focuses on integrating AI with graph data, engineering documents, and operational workflows to deliver reliable, explainable outputs. You will design scalable APIs and backend services powering AI-native industrial applications. 🗂️ Requirements: 5+ years experience in software engineering, ML engineering, or applied AI, Experience building AI systems combining structured data with LLMs, Strong experience with RAG, embeddings, and retrieval systems, Experience building production-grade AI systems, Strong Python and backend engineering experience, Experience designing scalable APIs and services 📃 Skills: Python, LLMs, RAG, Embeddings, Retrieval, APIs, Backend, PyTorch, TensorFlow, LangChain, LlamaIndex, MCP, OpenAI, HuggingFace, VectorDBs, FalkorDB, GraphDB, DotNet, Cloud 🏢 Description: About Cerebre Cerebre builds software that helps industrial companies understand and operate complex facilities. Our platform transforms engineering diagrams, operational data, and documentation into an ontology -driven knowledge graph, PlantGraph, that models equipment, instrumentation, flow, and process relationships across a facility. This foundation enables engineers and operators to reason about industrial systems with greater clarity and speed. We are now integrating advanced AI capabilities directly into this platform, enabling natural language interaction with facility data, graph-aware reasoning over engineering systems, and AI-driven workflows that operate across diagrams, documentation, and operational processes. Quick Overview Build production AI systems that reason over industrial knowledge graphs (PlantGraph) Work on LLMs, RAG, and agent-based systems solving real-world engineering problems Integrate AI with structured data, diagrams, and operational workflows Own complex, ambiguous problems end-to-end in a high-impact domain What We’re Building Cerebre is building an AI-native platform that helps industrial companies understand and operate complex facilities. At the core is PlantGraph, an ontology-driven knowledge graph that models equipment, instrumentation, and process relationships across a facility from engineering diagrams (P&IDs), documentation, and operational data. We’re now embedding AI directly into this system - enabling: natural language interaction with facility data graph-aware reasoning over engineering systems AI agents that operate across diagrams, documents, and workflows This is not generic LLM work; it’s about making AI reliable, grounded, and usable in real-world engineering environments. What You’ll Do Build AI Systems That Reason Over Structured Industrial Data Design systems that allow LLMs to interpret and reason over PlantGraph and its underlying ontology, combining graph queries, ontology structures, and engineering data into reliable, explainable outputs. Create Natural Language Interfaces Over Complex Systems Build chat-based experiences that allow users to explore facility systems, navigate diagrams, and query equipment and process relationships through conversation. Orchestrate AI Across Graphs, Documents, and Workflows Develop systems that combine: graph queries engineering documentation (P&IDs, procedures, LOTO, work orders) real-world operational context to enable accurate, traceable AI outputs. Enable AI Agents to Safely Interact with the Platform Design APIs and tools that allow AI agents to operate on PlantGraph and system capabilities, ensuring interactions are observable, reliable, and production-safe. Productionize AI Systems at Scale Turn prototypes into production systems: scalable APIs and services performance and cost optimization evaluation, monitoring, and reliability frameworks Own Ambiguous, High-Impact Problems Work across engineering, ML, and domain teams to define and solve complex problems, including identifying and addressing gaps in data, ontology, and system design. Core Engineering Challenges Grounding LLMs in structured graph data Reliable agent workflows across multiple data sources Query optimization across graph + vector + document systems Ensuring correctness, traceability, and validation in AI outputs Building production-grade AI systems for real-world industrial use Required Qualifications 5+ years in software engineering, ML engineering, or applied AI Experience building AI systems that combine structured data with LLMs Strong experience with RAG, embeddings, and retrieval systems Experience building production AI systems (not just prototypes) Strong Python and backend engineering experience Experience designing scalable APIs and services Ability to take ownership of complex, ambiguous problems Preferred Qualifications Experience with LLM agents or tool-based AI systems that interact with external systems via APIs or structured tools, including familiarity with emerging standards such as MCP Knowledge graph or graph database experience Exposure to industrial systems, P&IDs, or engineering workflows Experience with PyTorch / TensorFlow  Distributed systems / cloud infrastructure experience Tech Stack LLMs: OpenAI, open-source models (Hugging Face) AI Frameworks: LangChain, LlamaIndex, MCP ML: PyTorch, TensorFlow Data: Vector DBs, FalkorDB (graph), hybrid retrieval systems supporting PlantGraph and structured reasoning over engineering data Backend: Python services & APIs Frontend: .NET-based applications Why This Role This is a chance to work on real AI problems that matter, not generic chatbots or isolated prototypes, but systems used to operate real-world infrastructure. You’ll be building AI that: reasons over structured engineering systems integrates deeply into workflows must be correct, explainable, and production-ready More about Cerebre We are cross-functional collaborators. We blend manufacturing process knowledge with software and big data engineering expertise to create value in physical settings We are experienced. We are armed with industry-leading experts in numerical simulation, combustion, power, computational fluid dynamics, and chemical process modeling We are serious builders. We develop our platforms using leading practices in IT/OT architecture, OT security, AI architecture, ML Ops, and Platform engineering

🏢 Summary: Senior .NET Developer role focused on designing and delivering AI-driven solutions using Microsoft technologies and Azure, including Generative AI tools and intelligent automation platforms. The position involves building scalable backend systems, microservices, and cloud-native architectures while leveraging Azure AI services to develop data-driven products. The role covers the full software development lifecycle in an Agile environment with strong emphasis on code quality, DevOps, and cloud integration. 🗂️ Requirements: Strong experience in .NET development, Experience building scalable backend systems, Hands-on experience with Microsoft Azure, Experience with cloud-native architectures, Practical experience with Generative AI technologies, Experience with Azure AI services (Azure OpenAI, Azure AI Foundry, AI Search), Solid understanding of microservices architecture, Experience with event-driven or service-oriented architectures, Experience integrating APIs and building distributed systems, Experience with CI/CD pipelines and DevOps practices, Knowledge of RDBMS (MS SQL or Dataverse), Experience working in Agile environments, Bachelor’s or Master’s degree in Computer Science, Software Engineering, or related field, English and Polish proficiency at B2+ level 📃 Skills: .NET, C#, Azure, AzureOpenAI, AzureAIFoundry, AISearch, GenerativeAI, Microservices, EventDriven, SOA, REST, API, CI/CD, GitHub, AzureDevOps, SQL, MSSQL, Dataverse, Python, Docker, Kubernetes 🏢 Description: Working as a Senior .NET Developer, you will: design and develop AI-driven software solutions using the Microsoft technology stack and Azure services build and implement Generative AI tools, plug-ins, microservices, and extensions that support internal products and business processes translate business needs into scalable technical solutions and system architecture develop, test, and deploy new product features while ensuring high code quality and performance leverage Azure AI services (including Azure OpenAI and AI Search) to deliver intelligent automation and data-driven solutions design and integrate APIs and microservices within secure and scalable cloud architectures collaborate closely with cross-functional teams including product managers, UX specialists, and other developers in Agile Scrum environments implement best practices in software development, source control, and CI/CD using tools such as GitHub and Azure DevOps troubleshoot complex technical challenges and support the full software development lifecycle act as a technical expert within the team, sharing knowledge and contributing to continuous improvement initiatives About Chabre IT Services Chabre IT Services is a global professional IT services provider, building long-lasting relationships with Enterprises. We specialize in the delivery of tailor-made solutions,  smart outsourcing, try&hire, and success fee services. We are a smart IT boutique with unique knowledge, which will deliver your ideas into reality. About our Client Our client is a globally recognized professional services organization that invests heavily in advanced technology and innovation to support its business operations and client services. Their internal technology division focuses on building modern digital products, intelligent automation tools, and AI-driven platforms that transform the way employees and clients interact with data and services. Qualifications strong experience in .NET development and building scalable backend systems hands-on experience with Microsoft Azure and cloud-native architectures practical experience working with Generative AI technologies and Azure AI services (e.g., Azure OpenAI, Azure AI Foundry, AI Search) solid understanding of microservices, event-driven and service-oriented architectures experience integrating APIs and building distributed systems familiarity with CI/CD pipelines , source control tools, and DevOps practices (GitHub, Azure DevOps) knowledge of RDBMS systems such as MS SQL or Dataverse experience with Python , containerization technologies (Docker/Kubernetes), or similar tools is a strong advantage experience working in Agile development environments strong analytical thinking and problem-solving skills excellent communication skills and ability to collaborate with technical and non-technical stakeholders proactive mindset and interest in continuously learning new technologies, particularly in the AI space excellent English & Polish skills (at least B2+ level) Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field We offer Rate: 150-170 PLN /h + VAT Remote work Subsidy for peripherals in the amount of 500,00zł Working tool (MacBook Pro or Lenovo Legion 5) Co-financing of courses related to the position Benefits: MultiSport, Medicover

🏢 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: The role involves developing and maintaining desktop and cloud-based client-server applications for managing communication devices used by first responders. The engineer will build scalable .NET solutions, integrate with hardware-level systems, and implement device management features within an agile, AI-augmented development environment. The position focuses on high-performance software, REST APIs, database management, and CI/CD practices. 🗂️ Requirements: 5+ years experience as .NET Developer, Strong proficiency in C#, Strong proficiency in .NET Framework and .NET Core, Experience with Angular or similar JavaScript framework, Experience with PostgreSQL or other relational databases, Understanding of object-oriented design principles, Knowledge of client-server architecture, Familiarity with communication protocols, Experience with version control systems, Experience with RESTful APIs, Experience with unit and integration testing, Experience with CI/CD pipelines, Experience using AI-powered development tools, Bachelor’s degree in Computer Science or related field, Proficiency in English 📃 Skills: C#, .NET, .NETCore, Angular, JavaScript, PostgreSQL, SQL, REST, CI/CD, Bitbucket, AI, CoPilot, Codeium, TETRA, OMADM, Jenkins, Java, Python, Scrum, Jira, Confluence 🏢 Description: You know that feeling when you see an ambulance or fire truck speed by? We build the software that makes their communication possible all over the world.Here in our Kraków office, we're the team behind the Motorola Fleet management software. In simple terms, it's the brain that programs and manages the radios used by first responders and major organizations all over the world. We have the stability of a global leader, and we operate with a tight-knit team vibe.We are looking for a passionate software engineer to join our team and help us build the future of public safety. As part of our agile, cross-functional teams, you will be responsible for developing and maintaining our desktop and cloud applications providing cutting-edge solutions that empower first responders and communities.Our products are built primarily in C#, utilizing a modern software architecture that spans from hardware-level integration to high-level abstractions. We embrace agile methodologies and heavily leverage advanced AI tools to accelerate our development process and innovate faster. Key responsibilities Design, develop, and maintain robust, scalable, and high-performance client-server applications using .NET technologies according to SDLC or AI-DLC process. Implement and manage features for TETRA devices management, including configuration, monitoring, and troubleshooting Collaborate with product managers, UX/UI designers, and other developers to define, design, and ship new features Write clean, maintainable, and efficient code. Develop and consume RESTful APIs. Manage databases and ensure data integrity. Perform unit and integration testing to ensure software quality (CI/CD) Troubleshoot and debug issues, providing timely resolutions. Stay up-to-date with the latest industry trends and technologies, especially usage of different kinds of AI/ML tools. Basic Requirements At least 5+ years of experience as a .NET Developer Strong proficiency in C#, .NET Framework, and .NET Core. JavaScript framework (e.g Angular). Experience with database technologies (e.g. PostgreSQL) Solid understanding of object-oriented design principles and software architecture. Familiarity with client-server architecture and communication protocols. Understanding of version control systems (e.g., Bitbucket). Excellent problem-solving and analytical skills. Strong communication and teamwork abilities. Demonstrable skill in using AI-powered development tools (e.g., code assistants, analyzers) and an understanding of effective prompting (ex. CoPilot, Codeium). Bachelor's degree in Computer Science, Engineering, or a related field. Proficiency in written and verbal English communication is essential. Nice-to-Have Requirements Experience with  device management or similar communication systems is a plus e.g. OMA-DM standard Basic knowledge of Java , Python, Jenkins Basic knowledge about Scrum principles Atlassian environment (Jira, Confluence etc.) In return for your expertise, we’ll support you in this new challenge with coaching & development every step of the way. Also, to reward your hard work you’ll get: Contract of employment (UoP) Competitive salary package Private medical & dental coverage Employee Pension Plan Life insurance Employee Stock Purchase Plan Flexible working hours (start between 7 am and 10 am) Strong collaborative culture Comfortable work conditions (high-class offices, parking space) Volleyball field and grill place next to the office Access to wellness facilities and integration events as well as training and broad Development opportunities

🏢 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. 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 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.