Senior Lead AI/ML Engineer - R01567102

🏢 Summary: The role focuses on engineering production-grade AI features such as semantic search, intelligent assistants, and automated risk scoring by integrating external AI providers into a cybersecurity platform. You will own the full lifecycle from prototype to reliable, monitored production services, primarily using Python on Azure. This position emphasizes robust software engineering practices over model research or training. 🗂️ Requirements: 5+ years of professional experience building production systems in Python, Expert-level Python programming skills, Experience with ML frameworks and libraries, Proven experience shipping and operating production software, Experience integrating external APIs in production environments, Strong understanding of software architecture and design patterns, Practical experience with CI/CD pipelines, Experience with containerization using Docker, Understanding of AI/ML concepts including LLMs, embeddings, prompt engineering, RAG, Experience with unit and integration testing and mocking external services, Polish work permit, Professional proficiency in English 📃 Skills: Python, Azure, OpenAI, Anthropic, Docker, CI/CD, FastAPI, Flask, Pinecone, Weaviate, Chroma, .NET, REST, LLMs, RAG, Embeddings, Git 🏢 Description: About the Role As a Senior AI/ML Engineer you will be building AI-powered features at the core of our platform - semantic search, an intelligent assistant, automated risk scoring, and much more. We mainly integrate with external AI model providers (OpenAI, Anthropic, and others) to deliver these capabilities to our clients and internal users. This is a software engineering role, not a data science or ML research position. You won't train models from scratch or publish papers. You'll engineer production-grade systems that leverage AI to solve real cybersecurity problems. If you're a strong Python engineer excited about making AI reliable, maintainable, and impactful — we want to talk to you. We're looking for a versatile software engineer to own the journey from AI prototype to reliable production system: building robust integrations with external AI providers or fine-tuned models, standardizing our Python codebase and release pipelines, and ensuring our AI features meet the same quality bar as any other production service. What You'll Do Ship AI features end to end - from integration design through deployment to monitoring in production. You'll build and maintain Python services that power our AI-driven capabilities on Azure. Build production-ready AI / ML integrations - including retry logic, rate limiting, cost monitoring, fallback strategies, and abstraction layers that allow us to swap between model providers. Turn proofs of concept into reliable software - collaborate with our AI experts (who bring deep ML/data science expertise) to take working prototypes and engineer them into tested, documented, production-grade services. Standardize Python engineering practices - establish and evolve our code organization, testing strategies, CI/CD pipelines, and release processes for AI/ML features. Design clean service boundaries - our platform's core runs on .NET. You'll design and maintain well-defined APIs between the Python/AI layer and the rest of the system. Mentor and share knowledge - help other engineers grow their Python and AI engineering skills, and bring engineering rigor to the broader team's practices. Contribute to architecture decisions - work closely with other teams to shape how AI capabilities evolve within the platform. Who You Are Must-Haves 🔹 5+ years of professional experience building and maintaining production systems in Python. 🔹 Expert-level programming skills and proficiency with common ML frameworks and libraries. 🔹 A track record of shipping and operating software - not just building prototypes. You care about testing, monitoring, logging, and what happens after deployment. 🔹 Experience integrating external APIs in production systems - ideally AI/LLM provider APIs (OpenAI, Anthropic, Azure AI, or similar), but strong API integration experience in any domain counts. 🔹 Solid understanding of software architecture and design patterns - you have opinions about how to structure a Python project and can articulate trade-offs. 🔹 Practical knowledge of CI/CD pipelines, containerization (Docker), and modern development workflows. 🔹 A working understanding of AI/ML concepts - you know what embeddings, LLMs, prompt engineering, and RAG are. You can have a productive technical conversation with an ML specialist without needing every concept explained from scratch. 🔹 Experience with testing strategies - unit tests, integration tests, mocking external services. You instinctively write tests, not as an afterthought. 🔹 A highly adaptable, problem-solving and result-oriented mindset with the ability to work independently and take ownership in a fast-paced and dynamic environment. 🔹 Strong communication skills in English (our working language). 🔹 Willingness to learn continuously and share what you learn with the team. Nice-to-Haves 🔸 Experience with Azure cloud services. 🔸 Familiarity with FastAPI, Flask, or similar Python web frameworks. 🔸 Exposure to MLOps tooling or practices (model versioning, experiment tracking, feature stores). 🔸 Hands-on experience in Document AI / Intelligent Document Processing using traditional models and Generative AI. 🔸 Experience with vector databases (Pinecone, Weaviate, Chroma, or similar). 🔸 Any experience with .NET - helpful for cross-team collaboration, but not expected. 🔸 Background in or interest in cybersecurity as a domain. Your Team You'll join our Synapse team - a small, focused group responsible for all AI/ML capabilities within our platform. The team consists of: -> Team Leader / Architect - provides high-level architectural guidance, planning, and cross-stack delivery. -> AI / ML Engineer - deep expertise in AI/ML and data science. Your counterbalance: they bring the ML knowledge, you bring the production engineering discipline. -> AI / Backend Engineer - transitioning from .NET into AI engineering. A teammate you'll mentor and grow alongside. -> You - the person who bridges the gap between AI prototypes and reliable production systems. Why Join Us? / What We Offer: Competitive salary and benefits package. Remote work options and flexible working hours. Actual impact on the choice and shape of solutions developed. Opportunities for professional growth and development. Training and conference budget. A collaborative, innovative work environment with an iterative agile approach. The role is for six months with the possibility of extension. Both full-time and part-time cooperation are possible.

🏢 Summary: B2B Senior Full-Stack Software Engineer role focused on building Java-based enterprise applications with strong integration of Agentic AI tools to enhance development workflows. The position involves end-to-end development, CI/CD pipeline design, automated testing, security implementation, and containerized deployments in an Agile environment. The role combines backend, frontend, DevOps, and AI-assisted engineering practices. 🗂️ Requirements: Minimum 5 years of hands-on Java development experience, Strong experience with Spring Boot and Spring Security, Solid knowledge of Hibernate / JPA and ORM concepts, Experience with relational databases (MySQL, PostgreSQL, or Oracle), Proficiency in HTML5, CSS3, JavaScript and one modern frontend framework (React, Angular, or Vue.js), Hands-on experience with JUnit, Mockito, Cucumber and integration testing, Practical experience designing and maintaining Jenkins CI/CD pipelines, Understanding of cryptographic principles and secure key management, Experience with Docker and Kubernetes, Experience designing and implementing RESTful APIs, Understanding of software architecture patterns and design principles, Experience working in Agile/Scrum environments 📃 Skills: Java, Spring, SpringBoot, SpringSecurity, Hibernate, JPA, MySQL, PostgreSQL, Oracle, HTML5, CSS3, JavaScript, React, Angular, Vue, JUnit, Mockito, Cucumber, Jenkins, Docker, Kubernetes, REST, Cryptography, GitHubCopilot, ChatGPT, Claude, Cline 🏢 Description: Senior Software Engineer (Full-Stack, Agentic AI Focus) Warsaw, hybrid 1 day/week B2B contract We are looking for a talented Senior Software Engineer to join our dynamic development team. This role focuses on full-stack development , with a strong emphasis on leveraging Agentic AI tools and technologies to drive efficiency, innovation, and smarter development workflows. The ideal candidate brings solid experience with Java-based enterprise applications , a strong engineering mindset, and a passion for using cutting-edge AI technologies to enhance productivity, code quality, and collaboration across the development lifecycle. Key Responsibilities 1. Development & Engineering Design, develop, and maintain full-stack applications using Java and modern web technologies. Build robust backend services using the Spring Framework (Spring Boot, Spring Security). Develop and optimize database interactions using Hibernate ORM . Create responsive, intuitive, and user-friendly frontend interfaces. Integrate Agentic AI tools and technologies to improve development efficiency and code quality. Participate in the entire software development lifecycle , from requirements analysis to deployment. Implement cryptographic solutions and security protocols to ensure safe handling of sensitive data. 2. CI/CD & DevOps Design, build, and maintain Jenkins CI/CD pipelines for automated build, testing, and deployment. Configure and optimize continuous integration workflows to ensure high code quality and rapid delivery. Implement automated testing integration within CI/CD pipelines. 3. Agentic AI Tools & Technology Integration Leverage AI-powered development tools (GitHub Copilot, ChatGPT, Claude, Cline, etc.) to accelerate coding, troubleshooting, and problem-solving. Utilize AI tools for code review, automated testing, and documentation generation . Stay up to date with emerging Agentic AI technologies and assess their potential to enhance development workflows. Share knowledge and best practices for AI-assisted development across the team. 4. Testing & Quality Assurance Write comprehensive unit tests using JUnit, Mockito, and other testing frameworks. Develop and execute integration tests to ensure system reliability and stability. Implement automated testing strategies and maintain strong test coverage standards . Participate in code reviews and uphold high coding and quality standards. Debug and troubleshoot complex technical issues . 5. Collaboration & Process Work closely with cross-functional teams including product managers, designers, and QA engineers. Actively participate in Agile/Scrum development processes . Contribute to technical documentation and internal knowledge sharing. Continuously improve development processes, tools, and team efficiency . Required Qualifications Technical Skills Java Expertise: Minimum 5 years of hands-on experience in Java development. Spring Framework: Strong experience with Spring Boot and Spring Security . Hibernate / JPA: Solid knowledge of ORM concepts, entity mapping, and database optimization. Database Technologies: Experience with relational databases such as MySQL, PostgreSQL, or Oracle . Frontend Technologies: Proficiency in HTML5, CSS3, JavaScript , and modern frameworks (React, Angular, or Vue.js). Testing Frameworks: Hands-on experience with JUnit, Mockito, Cucumber , and integration testing tools. CI/CD Tools: Practical experience designing and maintaining Jenkins pipelines . Cryptography: Understanding of cryptographic principles including encryption/decryption, digital signatures, and secure key management. Containerization: Experience with Docker and Kubernetes . API Development: Experience designing and implementing RESTful APIs . Architecture Knowledge: Understanding of software architecture patterns and design principles . Agile Methodologies: Experience working within Agile/Scrum environments . Preferred Qualifications Bachelor’s degree in Computer Science, Software Engineering, or a related field. Payment industry experience: 2+ years of experience working within payment systems or financial platforms.

🏢 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 Software Engineer responsible for defining technical standards and architecture, leading backend and frontend development, and ensuring secure, scalable, and observable solutions. The role drives CI/CD, enterprise integrations, and production support while aligning engineering practices with product and operations goals. 🗂️ Requirements: Proven experience defining technical standards and architecture, Experience with CI/CD orchestration, Experience with observability implementation, Experience implementing on-premises, hybrid, and cloud solutions, Experience leading backend and frontend architectural decisions, Experience maintaining CI/CD pipelines, Experience coordinating enterprise integrations, Knowledge of DDD and clean architecture, Expertise in Java and Spring Boot, Expertise in Python and FastAPI, Expertise in React or Angular, Experience with L2/L3 production support, Experience with Spring Security and OAuth 📃 Skills: Java, SpringBoot, Python, FastAPI, React, Angular, CICD, Observability, ServiceNow, Jira, Boomi, DDD, OAuth, SpringSecurity 🏢 Description: To strengthen the team, we are seeking a person for the role of Senior Software Engineer, responsible for defining technical standards and architecture, guiding the development team, ensuring quality practices, security, and CI/CD, and collaborating with product and operations in delivering scalable, business-aligned solutions. Main Responsibilities Define technical standards, architecture, and development practices, ensuring quality, security, performance, and resilience in production environments. Orchestrate end-to-end delivery with CI/CD and observability while promoting responsible autonomy among teams aligned with product and operational objectives. Implement on-premises, hybrid, and cloud solutions with security best practices, observability, and integration with existing systems. Lead architectural decisions in backend and frontend (Java/Spring Boot, Python/FastAPI, React/Angular), ensuring scalability, consistent testing and code reviews. Implement and maintain end-to-end CI/CD pipelines and observability (logs, metrics, distributed tracing). Coordinate enterprise integrations (ServiceNow, Jira, CRMs) and iPaaS (e.g., Boomi), including mapping, validation, and compliance. Apply practices such as DDD, clean architecture, application security, and secrets/IAM management throughout the development lifecycle. Provide technical guidance to the team, elevate quality standards, and align practices with product and operations. Lead L2/L3 support in production: incident triage and resolution, prevention escalation (on call), SLA management, and conducting post-mortems focused on root causes and corrective actions. Operate and evolve applications in on-premises, hybrid, or cloud environments: VMs, networks, VPNs, certificates, Nginx/reverse proxy, load balancing, and enhancing the security of exposed services. Key Requirements Proven ability to define technical standards, architecture, and development practices. Experience with CI/CD orchestration and observability practices. Knowledge of implementing on-premises, hybrid, and cloud solutions with security best practices. Leadership in architectural decisions for backend and frontend technologies. Experience with maintaining CI/CD pipelines and end-to-end observability. Ability to coordinate enterprise integrations and ensure compliance. Mastery of practices such as DDD and clean architecture. Technical expertise in Java/Spring Boot, Python/FastAPI, React/Angular. Experience in providing L2/L3 technical support and leading incident resolution. Expertise in security practices, including Spring Security and OAuth. Nice to Have Experience with Docker, Kubernetes, and cloud environments (Azure/AWS/GCP). Background in data management with PostgreSQL, MongoDB, and Redis. Familiarity with AI models, particularly RAG. Knowledge in security access management and policies based on the principle of least privilege.

🏢 Summary: Senior Full-Stack Engineer role focused on building AI-powered products and internal platforms using Python and modern frontend frameworks. The position involves developing cloud-native systems, contributing to agentic AI initiatives, and delivering secure, production-grade solutions handling sensitive data. You will work in agile teams to create end-to-end features across backend, frontend, cloud, and AI components. 🗂️ Requirements: Bachelor’s or Master’s degree in technical field, Minimum 7 years of software development experience, Senior-level experience in large tech environment, Strong backend experience with Python and FastAPI in production, Solid frontend experience with Vue or other modern JavaScript framework, Hands-on experience with AWS, Azure, or GCP, Experience with Docker or Kubernetes, Experience with SQL and NoSQL databases, Experience with messaging queues, Practical experience with AI systems in production, Understanding of agentic AI concepts or architectures, Knowledge of engineering best practices and secure coding 📃 Skills: Python, FastAPI, Django, Vue, React, Angular, Svelte, AWS, Azure, GCP, Docker, Kubernetes, SQL, NoSQL, Pinecone, AzureAISearch, CrewAI, MicrosoftAgentFramework, AWSAgentCore, A2A, MCP 🏢 Description: We’re looking for a Senior Full‑Stack 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) and modern frontend frameworks, with a preference for Vue, though 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. Solid frontend experience with Vue or another modern JavaScript framework. 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. 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. 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. Why join You’ll work on real AI products, help shape an evolving agentic ecosystem, and contribute to a modern engineering environment where innovation meets strong security and compliance standards. Your work will directly influence how AI is used across the organization.

🏢 Summary: The role focuses on building and evolving core platform services to support engineering teams, emphasizing scalable cloud-native solutions, developer experience, and automation. It involves designing shared services, advancing CI/CD and Infrastructure as Code practices, and integrating AI-powered tools and LLM-based solutions. The position also promotes DevOps and SRE standards to ensure reliability and operational excellence in production environments. 🗂️ Requirements: 8+ years of experience delivering production-grade software solutions, Strong proficiency in Python, Experience with Kubernetes and containerized environments, Experience with distributed systems, Knowledge of REST and gRPC service development, Experience with cloud-native architectures, Hands-on experience with Infrastructure as Code tools, Familiarity with AI tooling and LLM-based applications, Ability to support production systems and incident response 📃 Skills: Python, Kubernetes, Docker, REST, gRPC, Terraform, CI/CD, LLM, AI, DevOps, SRE, Cloud, Automation 🏢 Description: We are looking for a Senior Platform Engineer to help build and evolve the core technology platforms that support our engineering organization. This role focuses on developing scalable software solutions, improving developer experience, and driving cloud-native engineering practices across the business. Working closely with engineering, cloud, and operations teams, you will contribute to platform architecture, automation initiatives, and the adoption of modern development and reliability practices. Key Responsibilities • Design and maintain shared platform services and engineering tools used across multiple teams. • Develop and enhance internal platforms, including authentication, developer tooling, and infrastructure services. • Build AI-powered solutions leveraging LLMs, intelligent agents, and automation technologies. • Contribute to engineering standards, architectural guidelines, and reusable frameworks. • Improve software delivery through CI/CD, automation, and Infrastructure as Code. • Promote DevOps and SRE practices, including observability, monitoring, and operational excellence. • Support production systems through incident response and reliability improvements. Required Qualifications • 8+ years of experience delivering software solutions in production environments. • Strong programming skills in Python; experience in other languages like Java, C#, C++, Go or others, nice to have • Experience with Kubernetes, containers, and distributed systems. • Knowledge of REST and gRPC service development. • Experience with solution architecture and cloud-native technologies. • Familiarity with AI tooling, agent-based frameworks, and LLM-powered applications. • Hands-on experience with Infrastructure as Code tools such as Terraform. • Strong communication and technical documentation skills.

🏢 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 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 Full-Stack .NET Engineer role focused on building and maintaining high-load enterprise applications using .NET, Node.js, and Go in a scalable microservices environment. The position involves architecture design, performance optimization, observability, mentoring engineers, and collaborating with cross-functional teams to deliver reliable software solutions. The offer includes remote-first work, learning programs, and a flexible benefits package. 🗂️ Requirements: 5+ years in a senior engineering role, Strong expertise in C# and .NET Core/.NET 6+, Experience with high-load backend systems, Experience with REST APIs and web services, Knowledge of async/await, multithreading, thread safety, and memory management, Experience with microservice architectures, Experience with relational and non-relational databases, Knowledge of transactions, locking, concurrency, indexing, and performance tuning, Experience with Docker and Kubernetes, Understanding of CI/CD pipelines, Knowledge of scalability, load balancing, auto-scaling, and disaster recovery, Experience with observability tools, logging, monitoring, and tracing, Ability to mentor engineers and lead technical discussions, Intermediate+ English 📃 Skills: C#, .NET, Node.js, Golang, REST, Docker, Kubernetes, CI/CD, SQL, NoSQL, Microservices, Multithreading, Async, Tracing, Monitoring 🏢 Description: GR8_TECH builds B2B iGaming platforms for operators who play to lead. We deliver full-cycle, high-impact tech designed to scale — from seamless integrations and expert consulting to long-term operational support. Our platform powers millions of active players and drives real business growth. Call it what it is: the iGaming Platform for Champions. With 1000+ GR8 people across locations and time zones, we don’t just ship technology — we help operators build success stories across brands, markets, and geos. Our ambition drives us. Our people make it real. If you’re a challenger in spirit and a champion in action — join us. Why this role exists: As a Senior Full-Stack .NET Engineer, you will play a critical role in designing, developing, and maintaining enterprise-level applications across our backend stack based on .NET, Node.js, Go and related technologies. You will lead technical discussions, mentor junior team members, and collaborate with cross-functional teams to deliver scalable and robust software solutions that meet business requirements and industry standards. This role offers the opportunity to make a significant impact, shape product direction, and contribute to the growth and success of the team. What you’ll drive: Architecture & Execution Design and implement scalable, efficient, and secure enterprise-level software architectures across our .NET stack. Write, test, and debug complex code for high-load systems with strict latency and reliability requirements. Deliver clean code to production in a timely manner, balancing business speed with technical excellence. Identify and eliminate performance bottlenecks across CPU, memory, I/O, and database layers. Engineering Quality & Observability Conduct thorough code reviews to enforce strict code quality, security, and industry best practices. Develop and enforce testing protocols to guarantee software reliability and flawless production performance. Implement and monitor production observability frameworks, including logging, metrics, monitoring, and distributed tracing. Create and maintain concise, meaningful technical documentation for system designs and architecture. Collaboration & Leadership Provide guidance and mentorship to junior and mid-level engineers, actively fostering their technical growth. Partner with Delivery Managers to lead and manage software development projects, ensuring predictable, high-quality delivery. Collaborate closely with product management, design, and operations teams to align technical execution with business goals. Communicate effectively with stakeholders, translating complex technical concepts into clear project updates. What makes you a GR8 fit: Minimum 5 years of experience in a similar senior engineering role with a track record of leadership, strong technical skills, and successful project delivery. Deep hands-on expertise in C# and .NET (Core / .NET 6+ ). Commercial experience or a strong willingness to learn and work with Golang and Node.js . Experience designing and evolving high-load backend systems with strict latency and reliability requirements. Experience working REST API and web services. Strong understanding of async/await, multithreading, thread safety, memory management, and performance optimization. Ability to identify and eliminate performance bottlenecks across CPU, memory, I/O, and database layers. Experience designing and operating microservice-based systems. Experience working with relational and non-relational databases. Understanding of transactions, isolation levels, locking, concurrency, indexing strategies, and performance tuning. Experience working with containerized environments including Docker and Kubernetes. Understanding of CI/CD pipelines and automated delivery. Understanding of scalability, load balancing, auto-scaling, and disaster recovery. Understanding of production observability including logging, metrics, monitoring, and tracing. Intermediate+ English level. Why you’ll love working here: Benefits Cafeteria — annual budget you allocate to: Sports • Medical • Mental health • Home office • Languages. Work-life & support Paid maternity/paternity leave + monthly childcare allowance. 20+ vacation days, unlimited sick leave, emergency time off. Remote-first + tech support + coworking compensation. Team events (online/offline/offsite). Learning culture with internal courses + growth programs. Our culture & core values: GR8_TECH culture is how we win — through trust, ownership, and a growth mindset. We move fast, stay curious, and keep it real, with open feedback, room to experiment, and a team that’s got your back. FUELLED BY TRUST : we’re open, honest, and have each other’s backs. OWN YOUR GAME : we take initiative and own what we do. ACCELER8 : we move fast, focus smart, and keep it simple. CHALLENGE ACCEPTED : we grow through challenges and stay curious. BULLETPROOF : we’re resilient, ready, and always have a plan.