Fullstack Developer (Java, React, AI)

🏢 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: Fullstack Engineer role focused on building and integrating AI-powered features using LLMs within modern web applications. The position involves designing scalable APIs, AI workflows, and hybrid solutions combining AI with business logic across frontend and backend systems. You will collaborate cross-functionally to deliver production-ready AI solutions in a cloud environment. 🗂️ Requirements: 5+ years TypeScript and Node.js experience, 2+ years React or Next.js experience, Experience with cloud platforms (preferably GCP), Experience with PostgreSQL, Experience building AI-powered applications using LLMs and APIs, Strong prompt engineering skills, Experience designing AI workflows and orchestration, Understanding of AI limitations and best practices 📃 Skills: TypeScript, Node.js, React, Next.js, GCP, PostgreSQL, LLMs, APIs, Prompting, LangChain, RAG, Embeddings, VectorDB 🏢 Description: Fullstack Engineer - Node/React/Typescript + AI Solutions We are looking for an experienced Fullstack Engineer to build AI-powered solutions and shape how AI is used across modern systems. What you’ll do: Develop AI-driven features using LLMs Integrate AI APIs into backend and frontend applications Design scalable APIs and AI workflows (prompting, orchestration, response handling) Build hybrid solutions combining AI and business logic Collaborate with Data Engineers and other teams Requirements: 5+ years with TypeScript & Node.js (APIs, integrations) 2+ years with React (or Next.js) Experience with cloud (preferably GCP) and PostgreSQL Experience building AI-powered applications (LLMs, APIs) Strong prompt engineering & AI workflow design skills Understanding of AI limitations and best practices Nice to have: RAG, embeddings, vector databases LLM frameworks (e.g. LangChain)

🏢 Summary: The offer is for a Senior AI Fullstack Engineer to design and deliver production-ready, LLM-powered web applications using modern React and Next.js architecture. The role focuses on building autonomous agents, RAG systems, and AI-driven workflows integrated with enterprise-grade products. It involves end-to-end ownership of scalable AI solutions from architecture to deployment. 🗂️ Requirements: 8+ years experience as consultant or forward deployed engineer, Strong experience with Next.js (App Router), React, TypeScript, Deep understanding of Server and Client Components (RSC), Experience with streaming, caching, revalidation, Server Actions, Experience with Vercel AI SDK, LangGraph or MCP, Experience building RAG systems, Hands-on experience with Anthropic and OpenAI APIs, Experience shipping LLM-powered features to production, Practical experience with prompt engineering and structured outputs, Experience with tool calling and agent workflows, Experience with multi-turn orchestration, Understanding of token economics and context windows, Experience with prompt evaluation methods, Ability to design robust, production-ready AI systems 📃 Skills: Next.js, React, TypeScript, RSC, Vercel, LangGraph, MCP, RAG, Claude, OpenAI, Anthropic, Prompting, Streaming, ServerActions, Agents, APIs 🏢 Description: About the Role At Blazity, we are a team of React.js and Next.js experts building modern, API-first digital products for enterprise clients. We are expanding our AI capabilities—autonomous agents, AI-driven automation, and LLM-powered workflows—and are looking for a Senior AI Fullstack Engineer who can design and ship production-ready AI systems. You will work at the intersection of modern web architecture and generative AI , taking ownership of solutions delivered to real users. Our requirements Must-have Technical Excellence: 8+ years of experience as a consultant / forward deployed engineer Strong experience with Next.js (App Router), React, TypeScript Deep understanding of: Server vs Client Components (RSC) streaming, caching, revalidation, Server Actions Vercel AI SDK / LangGraph / MCP Experience building RAG systems Claude extended thinking / prompt caching / Batch APIs AI Engineering: Proven experience shipping LLM-powered features to production Hands-on with Anthropic / OpenAI APIs (messages, tool use, streaming) Practical experience with: prompt engineering (structured output, few-shot, XML) tool calling / agent workflows multi-turn orchestration Understanding of: token economics (input/output costs, context window) latency vs quality trade-offs Reliability & Quality: Experience with: prompt evaluations (LLM-as-judge, rule-based) handling hallucinations and failure modes Ability to design robust AI systems , not just prototypes Soft Skills: Strong ownership mindset Experience working directly with clients Clear communication and structured thinking (English C1) Ability to make decisions in ambiguous environments Nice-to-have: What You Will Do Ship Production Apps: Build scalable web applications using Next.js (App Router) and TypeScript , ensuring high performance and clean architecture. Engineer AI Workflows: Develop and orchestrate LLM-powered features using Anthropic and OpenAI APIs, focusing on tool use and streaming. Agentic Orchestration: Design autonomous agent loops and multi-turn workflows, knowing when to use a structured pipeline versus a dynamic agent. Optimize & Evaluate: Manage token economics (pricing, context windows) and implement prompt evaluations (LLM-as-judge, rule-based) to ensure system reliability. Collaborate: Work directly with senior engineers, founders, and client teams to shape AI capabilities from concept to production. What we offer B2B: 120 – 180 PLN/h + VAT 🔥 100% remote (Poland) 29 paid vacation days Private healthcare + sports card High-impact work on real AI systems

🏢 Summary: The offer is for an experienced Java Developer to build and integrate AI-driven backend solutions, including AI agents and LLM-powered services, within scalable distributed systems. The role focuses on designing reasoning pipelines, vector search integrations, and data-heavy architectures using modern AI tooling. You will contribute to architecture design, code quality, and AI-based system development in a collaborative environment. 🗂️ Requirements: Minimum 3 years of professional Java experience, Strong backend development skills, Experience with Spring Boot, Experience with Docker, Experience with Spring AI, Experience integrating LLMs into applications, Understanding of vector databases, Experience with AWS Bedrock, Experience with LangChain4j, Knowledge of embeddings, Knowledge of prompt engineering basics, Knowledge of retrieval-augmented generation (RAG), Understanding of Model Context Protocol, Experience building scalable distributed systems, Experience designing AI agents and reasoning pipelines 📃 Skills: Java, SpringBoot, Docker, SpringAI, OpenAI, Anthropic, Milvus, Pinecone, Qdrant, Elasticsearch, AWS, Bedrock, LangChain4j, Embeddings, RAG, MCP 🏢 Description: We are looking for an experienced Java Developer with strong backend engineering skills and proven experience in AI-related technologies and frameworks. The ideal candidate has at least 3 years of professional Java experience, writes clean, maintainable code, and is comfortable working on scalable distributed systems. A strong interest in data, AI-driven applications, vector search, and modern LLM tooling is highly valued. We are looking for a team player who thrives in collaborative environments, enjoys knowledge sharing, and contributes actively to technical discussions and solution design. Key Responsibilities Designing and implementing AI agents with reasoning pipelines (e.g. multi-step workflows, tool usage, RAG-based decision making) Integrating AI capabilities such as LLM-powered services, semantic search, and intelligent automation Contributing to scalable architectures for data- and event-driven systems Improving, refactoring, and maintaining existing codebases Designing tasks in collaboration with the Team Lead and Product Owner Participating in code reviews, architecture discussions, and knowledge sharing Contribute to the design of scalable architectures for data-heavy and AI-driven services Collaborate closely with the Team Lead and Product Owner to design tasks and shape technical solutions Participate in code reviews, architecture discussions, and knowledge-sharing sessions Required Skills & Technology: English min B2 + Polish or C1 Experience - minimum 3 years Java: Spring Boot Docker AI-related: Spring AI Experience integrating LLMs into applications (OpenAI API, Anthropic, local inference, etc.) Understanding of vector databases (Milvus, Pinecone, Qdrant, Elasticsearch vector search, or similar) AWS Bedrock LangChain4j Knowledge of embeddings, prompt engineering basics, and retrieval-augmented generation (RAG) Understanding Model Context Protocol Nice to Have: Redis Mongo DB AI-related: Experience with AI/ML frameworks or orchestration libraries (LangChain4j, Spring AI, Embabel, Haystack, etc.) Familiarity with LLM model lifecycle: prompt design, evaluation, latency considerations, cost/performance trade-offs Experience with Ollama / vLLM Experience with streaming architectures for AI pipelines (i.e. Kafka Streams) Experience with document processing, OCR, or semantic search Perks in the office: Modern office full of coffee, snacks, and beverages Bike parking, great location of the office Benefits: Training budget for self-development, courses, conferences, and more A smart benefits platform that lets you easily manage subscriptions and purchases — including sports and lunch cards. Flat structure and small teams International project Team Events Private healthcare, Life & group insurance We celebrate birthdays and other important employee events Recruitment process: Screening (15-30 min) -> We want to get to know you and answer your questions - it is up to you how much time we need. Recruiting Task - Show your skills :) We will send you a task, you decide how much time you need to complete it. Video call (1h/2h)-> Let's talk about your coding style, exchange experiences, and get to know each other a little better. Data Sharing - the best way to better data. We are passionate about new technologies and we constantly improve our stack. There is always enough room to learn the ropes as we provide internal and external training and education. We are looking for a person who loves high-quality of code and who is interested in big sets of data. 90% of the world's data has been produced in just the last two years. Our mission is to help companies with our innovative Data Quality Services. CDQ is the first company in the market to leverage Data Sharing as the best way to better data. Our customers share data quality rules, enrich their data from publicly shared sources, exchange hand-validated data records, and alert each other of data fraud. The result of collaborative master data management: Higher efficiency, shared efforts, better quality, less risks. With our cloud-based software platform, CDQ can provide Data Quality as a Service – customers' master data is monitored and updated continuously, using our Data Quality Tools software or fully integrated with their ERP or CRM systems.

🏢 Summary: Senior Full Stack Developer role focused on building scalable Java (Spring Boot) backend services and React/TypeScript frontends to enhance financial operations and automation. The position involves leading technical initiatives, leveraging AI-assisted development tools, optimizing SQL Server databases, and managing CI/CD pipelines in Azure DevOps. The role combines hands-on development, architectural standards enforcement, and DevOps best practices in a hybrid EU-based environment. 🗂️ Requirements: 7+ years full stack development experience, Strong expertise in Java and modern frontend frameworks, Advanced proficiency in Spring Boot (Security, Data), Advanced proficiency in TypeScript and React, Hands-on experience with AI development tools (e.g., Claude Code), Deep knowledge of SQL Server and performance tuning, Experience with microservices architecture, Experience designing REST APIs, Experience with Docker and Kubernetes, Experience with Git and Azure DevOps CI/CD, Knowledge of design patterns and secure coding practices, Experience with automated testing frameworks, Fluent English (written and spoken), Legal right to work in the European Union 📃 Skills: Java, Spring, SpringBoot, SpringSecurity, SpringData, TypeScript, React, SQLServer, TSQL, Microservices, REST, Docker, Kubernetes, Git, AzureDevOps, CI/CD, AI, Claude, Testing 🏢 Description: Elevate financial operations — craft scalable, intelligent full stack solutions that redefine efficiency! EU-based opportunity with remote work options (up to 5 days per week). As a Senior Java-React Full Stack Developer , you will be working for our client, a leader in financial services, committed to transforming the industry through innovative technology. You will design, develop, and deploy advanced solutions that enhance data accuracy, streamline transaction processing, and support automation, enabling smarter financial workflows. This role offers an exciting chance to lead technical initiatives in a hybrid environment, leveraging cutting-edge AI tools to accelerate development and maintain high standards of quality and security. Your main responsibilities: Design, develop, and deploy scalable Java backend services with Spring Boot to support financial operations and integration points. Build responsive, user-friendly interfaces using TypeScript and React, tailored for finance and operations teams. Leverage agentic AI development tools such as Claude Code or similar to accelerate feature implementation, while validating and refining AI-generated code for security and compliance. Optimize and maintain SQL Server databases, including complex queries, stored procedures, and indexing for high-volume financial workloads. Implement and manage CI/CD pipelines in Azure DevOps, ensuring reliable and efficient deployment. Lead code reviews and provide technical guidance across hybrid teams, including internal engineers, consultants, external vendors, and AI-assisted developers. Establish and enforce coding, architectural standards, and comprehensive technical documentation. Integrate solutions with existing financial systems, such as Sage Intacct, to enhance operational automation. Continuously improve application performance, scalability, and reliability within cloud environments, adapting based on real-world data. Collaborate closely with stakeholders to translate business needs into effective technical solutions. Ensure adherence to secure coding practices, design patterns, and DevOps best practices. Mentoring engineers in adopting AI-assisted development workflows and establishing code quality standards. You're ideal for this role if you have: 7+ years of professional full stack development experience, with strong expertise in Java and modern frontend frameworks. Advanced proficiency in Java (Spring Boot, Security, Data) and TypeScript/React. Hands-on experience with agentic AI development tools such as Claude Code or similar. Deep knowledge of SQL Server, including performance tuning, complex queries, and stored procedures. Solid understanding of microservices architecture, REST API design, and containerization (Docker, Kubernetes). Experience with Git, Azure DevOps CI/CD pipelines, and DevOps practices. Knowledge of software design patterns, secure coding practices, and automated testing frameworks. Excellent communication skills, capable of working effectively in a hybrid team and articulating technical concepts clearly. It is a strong plus if you have: Experience in financial services, private equity, or fund administration. Familiarity with Sage Intacct or other fund management platforms. Azure cloud services expertise. Python scripting capabilities. Experience working in Agile/Scrum environments. Exposure to agentic workflow frameworks such as LangChain or LangGraph. Language Required for the role: Fluent English written and spoken. Eligibility to work in Europe: Only candidates with an existing legal right to work in the European Union will be considered for this role. #MAKEYourCareerBETTER Interested? Apply now and include your CV (preferably in English) along with a statement confirming your consent to the processing and storage of your personal data.

🏢 Summary: Senior Full Stack Engineer role focused on building and owning end-to-end product features for an AI-driven platform that automates complex business processes. The position involves developing frontend and backend solutions, designing APIs, improving performance and usability, and leveraging AI tools in daily engineering work. The role is office-based in Warsaw and requires strong product thinking and production-level experience. 🗂️ Requirements: Senior-level experience building production web applications, Strong knowledge of React and TypeScript or similar frontend framework, Experience designing and developing backend APIs and application logic, Ability to build and maintain frontend and backend features end-to-end, Experience working with production environments and monitoring released features, Daily use of AI tools for development and problem-solving, Strong understanding of code quality, testing, and long-term ownership 📃 Skills: React, TypeScript, JavaScript, API, REST, Node.js, Python, GitHub, Copilot, Claude, OpenAI, Codex, TypingMind, MCP, AI 🏢 Description: About Us Many companies want to use AI agents, but these agents often have problems with complex business tasks. We help solve this issue. Our platform understands company rules, processes, and workflows, so AI can make better decisions instead of only giving simple answers. This allows businesses to use AI that is accurate, follows company policies, and can be trusted. Well-known companies use our technology to automate up to 85% of customer cases, reduce handling time by 20–25%, and complete tasks that used to take hours in just a few seconds. We work with leading technology partners and have received industry recognition for our innovative approach. Our mission is to give people better answers everywhere. About the Role We are looking for a Senior Full Stack Engineer with strong product thinking. In this role, you will own features from start to finish. You will understand user needs, plan solutions, build frontend and backend functionality, release new features, and improve them based on user feedback. You should feel comfortable working on user interfaces, APIs, and production quality while collaborating with product and design teams. Location: Warsaw (office-based). Responsibilities Build and deliver product features across both frontend and backend. Turn product ideas into practical and effective solutions. Work with user interfaces, business logic, APIs, and data flows. Cooperate closely with product managers and designers, even when requirements are still developing. Improve usability, performance, reliability, and overall user experience. Monitor released features and use production data to make improvements. Use AI tools every day to work faster and improve engineering processes. Maintain high standards for code quality, testing, and long-term ownership. Requirements Strong experience as a senior engineer building production web applications. Good knowledge of React, TypeScript, or a similar modern frontend framework. Experience designing and developing backend APIs and application logic. Strong product mindset with the ability to identify and improve weak user experiences. Good decision-making skills when balancing scope, speed, and technical quality. Clear communication and teamwork across engineering, product, and design. Daily experience using AI tools for development and problem-solving. Nice to Have Experience building AI-powered products such as chat, search, recommendation systems, workflows, or AI agents. Knowledge of Python, Node.js, or both. Experience owning product areas independently. Understanding of performance optimization, accessibility, and high-quality web applications. What We Offer B2B contract and company stock options. MacBook Pro for work. Modern technology stack with opportunities to contribute to open-source projects. Advanced AI development tools, including GitHub Copilot, Claude Code, OpenAI Codex, TypingMind, and MCP Servers. Why Join Us Our leadership team has strong experience in knowledge management and AI. We have raised more than $60 million in funding and achieved three years of continuous 3x growth. Our work is guided by these core values: Quality: We aim for excellent craftsmanship and high standards in everything we build. Momentum: We take initiative and keep projects moving forward. Accountability: We take responsibility, give honest feedback, and support each other. Hard Work: We believe difficult goals require dedication and teamwork. Learning Agility: We stay curious, learn from mistakes, and keep improving. Adapt and Thrive: We accept change and see challenges as opportunities. Win Together: We succeed as a team through honesty, openness, and shared commitment.

🏢 Summary: Remote-first AI-First Fullstack Engineer role focused on building and maintaining full-stack applications while deeply integrating AI tools into the development workflow. The position emphasizes advanced use of AI coding assistants, agent-based workflows, and structured AI planning alongside strong backend and frontend engineering skills. Engineers contribute to architecture, code quality, and continuous improvement of AI-augmented practices. 🗂️ Requirements: 3+ years commercial experience with .NET and C#, Experience building REST APIs, middleware, and authentication flows (OAuth 2.0, OpenID Connect, JWT), Hands-on experience with AI coding assistants (Claude Code, GitHub Copilot, Cursor or equivalent), Understanding of AI agents and sub-agents and their composition, Experience creating or using custom AI skill definitions, Familiarity with AI planning workflows for structured implementation plans, Ability to perform prompt engineering and critically evaluate AI outputs, Experience configuring project-level AI instructions (e.g., copilot-instructions.md, CLAUDE.md), Solid proficiency in JavaScript and TypeScript, Practical experience with React or Angular, Experience with SQL databases and ORMs, Knowledge of CI/CD pipelines, Experience with Docker, Fluent English communication for technical collaboration 📃 Skills: .NET, C#, REST, OAuth2, OpenID, JWT, SQL, ORM, NoSQL, JavaScript, TypeScript, React, Angular, Python, Java, Node.js, Docker, Kubernetes, GitHubActions, AzureDevOps, Azure, AWS, GCP, CI/CD, DDD, CQRS 🏢 Description: We are looking for an AI-First Fullstack Engineer who is actively building a real AI-augmented development practice — not just using autocomplete. You will work across varied client engagements, contribute to meaningful technical decisions, and be expected to grow quickly in an environment that takes AI tooling seriously. This is a role for engineers who are intentional about how they use AI and want to develop that skill alongside their core technical craft. We follow a remote-first setup with no mandatory regular office visits for this position. From time to time, you may be invited to join in-person meetings in one of our offices (Warsaw, Lodz, Wroclaw, Gdansk, or Bialystok), for example for client visits or team reunions. Responsibilities Develop and maintain full-stack features with attention to quality, performance, and reliability Apply AI tools actively throughout your workflow: generation, refactoring, review, testing, and research Participate in architectural and design discussions — contribute ideas, ask good questions, and learn from senior engineers Write clean, reviewable code and actively engage in code reviews Communicate clearly with the team and client stakeholders in English Flag risks, blockers, and technical concerns early Continuously refine your AI workflow and share learnings with the team AI-First Requirements Must have: Hands-on experience with Claude Code, GitHub Copilot, Cursor, or equivalent AI coding assistants Understanding of agents and sub-agents: what they are, how they are composed, and when to use them Experience with custom skills: creating or using reusable AI skill definitions that extend tool capabilities beyond defaults Familiarity with AI planning workflows: using AI to generate structured implementation plans (e.g. task breakdowns, step-by-step plans stored as files or tickets) before generating code Prompt engineering sufficient to produce reliable, high-quality output; ability to critically evaluate and override AI suggestions when needed Experience building or configuring project-level AI instructions (e.g. copilot-instructions.md , CLAUDE.md , or similar) to shape agent behavior at the repo level Nice to have: Awareness of how AI tools fit into different SDLC phases: requirements analysis, design, implementation, code review, testing, and documentation — not just code generation Practical experience orchestrating multiple AI agents in parallel for concurrent task execution Familiarity with agentic loop patterns: tool use, reflection, iterative self-correction Technical Requirements 3+ years of commercial experience with .NET / C# — REST APIs, middleware, dependency injection, authentication flows: OAuth 2.0, OpenID Connect, JWT SQL databases and ORMs; NoSQL familiarity is a plus Additional experience in Python, Java, or Node.js is a plus Solid proficiency in JavaScript and TypeScript Practical experience with React (preferable) and/or Angular Familiarity with state management, async patterns, and frontend testing basics Comfortable working on both monolithic and service-oriented codebases Awareness of DDD, CQRS concepts (hands-on experience is a plus, not required) Basic familiarity with message-driven or event-driven patterns Docker fundamentals; basic Kubernetes awareness is a plus CI/CD: GitHub Actions, Azure DevOps, or similar Cloud exposure: Azure, AWS, or GCP Basic observability: structured logging, understanding of tracing concepts Salary ranges B2B 110 - 136 PLN/ hour EC 14500 - 17800 PLN/ month

🏢 Summary: Senior Full Stack Engineer role focused on building enterprise-grade Java applications with end-to-end ownership across backend, frontend, security, and CI/CD. The position requires daily commercial use of Agentic AI tools to accelerate development, testing, and code quality. You will design secure, scalable systems using modern Java frameworks and DevOps practices. 🗂️ Requirements: 5+ years commercial experience with Java, Proven commercial experience using AI-powered development tools, Strong proficiency in Spring Boot, Strong proficiency in Spring Security, Strong proficiency in Hibernate or JPA, Experience with HTML5, CSS3, and JavaScript frameworks, Hands-on experience with React, Angular, or Vue, Strong experience designing and maintaining Jenkins CI/CD pipelines, Experience with Docker and Kubernetes, Experience designing RESTful APIs, Solid understanding of cryptography and secure key management, Experience with JUnit and Mockito for automated testing 📃 Skills: Java, SpringBoot, SpringSecurity, Hibernate, JPA, SQL, MySQL, PostgreSQL, Oracle, JavaScript, HTML5, CSS3, React, Angular, Vue, Jenkins, Docker, Kubernetes, REST, GitHubCopilot, ChatGPT, Claude, Cline, JUnit, Mockito, Cucumber, Cryptography, CI/CD, Agile, Scrum 🏢 Description: We are seeking a Senior Full Stack Engineer to join our development team, focusing on building robust Java-based enterprise applications while heavily leveraging Agentic AI tools to drive efficiency and innovation. In this role, you will be responsible for the end-to-end software development lifecycle, from backend services and database optimization to user-friendly frontend interfaces and secure CI/CD pipelines. A crucial aspect of this position is the daily, hands-on integration of AI-powered development tools to accelerate coding, code review, and problem-solving. Tech Stack: Java, Spring Boot, Spring Security, Hibernate ORM, SQL (MySQL/PostgreSQL/Oracle), JavaScript (React/Angular/Vue.js), Jenkins, Docker, Kubernetes, RESTful APIs, Agentic AI (GitHub Copilot, ChatGPT, Claude, Cline) Responsibilities: Design, develop, and maintain full-stack applications using Java and modern web technologies. Integrate Agentic AI tools (like GitHub Copilot, ChatGPT, Claude, and Cline) into daily development workflows to accelerate coding, code reviews, testing, and documentation. Design, build, and maintain Jenkins CI/CD pipelines to optimize automated builds, tests, and deployments. Implement robust cryptographic solutions and security protocols to protect sensitive data. Write comprehensive unit and integration tests using JUnit, Mockito, and Cucumber to ensure high reliability. Share best practices for AI tool usage across the team and continuously evaluate emerging Agentic AI technologies. Debug complex technical issues, participate in code reviews, and collaborate closely with product, design, and QA partners within an Agile/Scrum framework. Min requirements: COMMERCIAL EXPERIENCE WITH AI TOOLS IS OBLIGATORY: You must have proven, commercial experience using AI-powered development tools (e.g., GitHub Copilot, ChatGPT, Claude, Cline) to accelerate software delivery. 5+ years of hands-on software development experience with Java . Strong proficiency in Spring Boot , Spring Security , and Hibernate/JPA . Solid experience with frontend technologies (HTML5, CSS3, JavaScript, and frameworks like React, Angular, or Vue.js). Strong, hands-on experience designing and maintaining Jenkins CI/CD pipelines . Solid understanding of cryptography (encryption/decryption, digital signatures, and secure key management). Experience with containerization (Docker, Kubernetes) and designing RESTful web services. Strong background in automated testing (JUnit, Mockito). Would be a plus: 2+ years of experience in payment processing, fintech, or financial services. Knowledge of payment protocols (ISO 8583, EMV), PCI DSS compliance, and financial regulations. Experience with HSMs (Hardware Security Modules) and payment-industry cryptographic standards. Experience with microservices, distributed systems, and cloud platforms (AWS, Azure, or GCP). Knowledge of Android or iOS app development. Contributions to open-source projects or active technical blogging. We offer: Opportunity to work on bleeding-edge projects Work with a highly motivated and dedicated team Competitive salary Flexible schedule Benefits package - medical insurance, sports Corporate social events Professional development opportunities Well-equipped office About us: Grid Dynamics (NASDAQ: GDYN) is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services. Fusing technical vision with business acumen, we solve the most pressing technical challenges and enable positive business outcomes for enterprise companies undergoing business transformation. A key differentiator for Grid Dynamics is our 8 years of experience and leadership in enterprise AI , supported by profound expertise and ongoing investment in data , analytics , cloud & DevOps , application modernization and customer experience . Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India.

🏢 Summary: Mid Full Stack Engineer role focused on building and improving AI-powered enterprise products across frontend and backend systems. The position involves developing web applications, APIs, and production features using modern technologies while collaborating closely with cross-functional teams. Candidates will work with AI development tools and contribute to scalable, high-quality software in a fast-growing environment. 🗂️ Requirements: 2–5 years of experience building production web applications, Knowledge of React, Knowledge of TypeScript or another modern frontend framework, Experience building backend services, Experience building REST APIs, Familiarity with testing and version control, Understanding of web application architecture, Understanding of client-server communication, Problem-solving skills, Attention to code quality, Strong communication skills, Experience using AI development tools, Willingness to collaborate across engineering, product, and design teams 📃 Skills: React, TypeScript, REST, Git, GitHub, Copilot, Claude, ChatGPT, Python, Node.js, AWS, GCP, Azure, Docker, CI/CD 🏢 Description: About Us Many companies want to use AI agents, but these agents often struggle with complex business tasks. We solve this problem by building a platform that understands company knowledge, policies, processes, and workflows, enabling AI to make reliable decisions instead of simply generating answers. Our technology helps businesses automate up to 85% of customer cases, reduce handling time by 20–25%, and complete tasks that previously took hours in just a few seconds. Our mission is simple: to give people better answers everywhere. About the Role We are looking for a Mid Full Stack Engineer who enjoys building products and solving real user problems. In this role, you'll work across both the frontend and backend, collaborating closely with engineers, product managers, and designers to deliver new features and improve existing ones. You'll have the opportunity to work with modern AI technologies, contribute to production systems, and grow your technical skills in a fast-moving environment. If you enjoy learning, shipping high-quality software, and working on products used by enterprise customers, we'd love to hear from you. Responsibilities - Build and maintain product features across both frontend and backend. - Develop user interfaces using modern frontend technologies. - Build and extend backend APIs and business logic. - Collaborate with engineers, product managers, and designers to implement new functionality. - Improve application performance, reliability, and usability. - Write clean, maintainable, and well-tested code. - Participate in code reviews and engineering discussions. - Help monitor production systems and improve features based on user feedback and product data. - Use AI development tools to improve productivity and software development workflows. Requirements - 2–5 years of experience building production web applications. - Good knowledge of React, TypeScript, or another modern frontend framework. - Experience building backend services and REST APIs. - Familiarity with modern software engineering practices, testing, and version control. - Understanding of web application architecture and client-server communication. - Good problem-solving skills and attention to code quality. - Strong communication skills and willingness to collaborate across engineering, product, and design teams. - Experience using AI tools such as GitHub Copilot, Claude Code, ChatGPT, or similar in day-to-day development. - Curiosity, ownership of your work, and a desire to continuously learn. Nice to Have - Experience with Python, Node.js, or both. - Experience working on AI-powered products or LLM integrations. - Familiarity with cloud platforms (AWS, GCP, or Azure). - Knowledge of Docker, CI/CD, or modern deployment workflows. - Understanding of performance optimization and accessibility best practices. What We Offer - B2B contract. - Company stock options. - MacBook Pro for work. - Modern technology stack with opportunities to contribute to open-source projects. - Access to advanced AI development tools, including GitHub Copilot, Claude Code, OpenAI Codex, TypingMind, and MCP Servers. - The opportunity to work on real AI products used by enterprise customers. - A collaborative engineering culture focused on learning, ownership, and continuous improvement. - The chance to grow your career alongside experienced engineers in a fast-growing AI company. Why Join Us Our leadership team brings deep experience in AI and knowledge management. We've raised over $60 million in funding and achieved three consecutive years of 3× growth. We believe great products are built by great teams, and our culture is shaped by these values: - Quality - We care about craftsmanship and building software that lasts. - Momentum - We move quickly, iterate often, and continuously improve. - Accountability - We take responsibility for our work, communicate openly, and support one another. - Hard Work - We believe ambitious goals require dedication and teamwork. - Learning Agility - We stay curious, embrace feedback, and continuously develop our skills. - Adapt and Thrive - We welcome change and see challenges as opportunities to improve. - Win Together - We succeed by collaborating, sharing knowledge, and helping each other grow.