Software Engineer (AI Agents)

🏢 Summary: The offer is for a Software Engineer (Agent Development) role focused on building and scaling production-ready AI agents and autonomous marketing workflows. The position combines strong backend engineering with applied GenAI, emphasizing reliable, scalable systems integrated into a live marketing automation platform. The role involves working with LLM orchestration, backend services, and AI-driven integrations in a fast-paced, collaborative environment. 🗂️ Requirements: 2–4 years of software engineering experience, Strong experience in Python and scalable backend development, Understanding of building production-ready, maintainable systems, Interest in AI, GenAI, and agentic systems, Experience with backend databases such as MySQL, Redis, or DynamoDB, Ability to work in fast-paced, iterative environments, Strong problem-solving skills, Ability to collaborate with cross-functional and distributed teams 📃 Skills: Python, GenAI, LLM, MySQL, Redis, DynamoDB, APIs, CI/CD, Cloud, AI, Agents 🏢 Description: Our client helps small teams power big businesses with the must-have platform for intelligent marketing automation. Customers from over 170 countries depend on the Client’s mix of pre-built automation and integration to power personalized marketing, transactional emails, and one-to-one CRM interactions throughout the customer lifecycle. We’re looking for a Software Engineer (Agent Development) to join our client’s growing AI team and help build the next generation of autonomous AI agents powering modern marketing workflows. In this role, you’ll work at the intersection of backend engineering and applied AI, designing and scaling production-ready agentic systems used by businesses worldwide. This is not a pure research role. The focus is on strong software engineering fundamentals and building reliable, scalable AI-powered products. You’ll work across backend systems, orchestration, integrations, and AI workflows, collaborating closely with cross-functional product and engineering teams. The environment is fast-paced and highly collaborative, with a strong emphasis on ownership, rapid iteration, and building real-world AI solutions already running in production. Key takeaways: Stack: Python, AI Agents, MySQL, GenAI Salary : 20 000 - 23 000 PLN gross/month, Contract of employment (+10% annual bonus, 75% Creative Tax) Working model: Hybrid, once a week in the office Location: Krakow, ul. Konopnickiej Recruitment process: Call with MOTIFE recruiter (30 min) Technical interview, live coding (1h) Cross-functional interview (1h) Interview with Hiring Manager (45 min) | Optional Responsibilities: Design and develop production-grade AI agents and autonomous marketing workflows across the platform. Build and maintain multi-step agentic systems involving LLM orchestration, tool usage, and backend integrations. Work with LLM APIs, including prompt engineering, response handling, evaluation, and optimization of AI workflows. Create and improve evaluation frameworks, quality metrics, and monitoring processes to ensure agent reliability and performance at scale. Monitor and optimize agent behavior, latency, token usage, cost efficiency, and production stability. Develop production-quality backend services and orchestration layers primarily using Python. Contribute to backend and frontend integration points where AI agents interact with the core platform. Build and maintain APIs, service interfaces, and data flows supporting AI-driven capabilities. Collaborate closely with Product, Design, and Engineering teams to define and deliver AI-powered user experiences. Ensure code quality through testing, code reviews, and adherence to engineering best practices. Participate in on-call rotations supporting AI agent services and platform reliability. Contribute to technical documentation, architectural decisions, and AI engineering best practices. Collaborate closely with globally distributed teams, including regular overlap with US-based stakeholders. Requirements: 2–4 years of experience in software engineering, with strong backend development fundamentals. Strong hands-on experience with Python and building scalable backend services. Interest in AI, GenAI, and agentic systems, with a willingness to grow in this area professionally. Exposure to AI-related projects, LLM-based solutions, ML models, or personal AI experiments is considered a strong plus. Understanding of how to build reliable, maintainable, and production-ready systems. Ability to work in fast-paced, iterative environments and ship code quickly while maintaining engineering quality. Familiarity with modern backend and database technologies such as MySQL, Redis, or DynamoDB. Strong problem-solving skills and the ability to work across different systems and technologies. Experience with cloud environments, APIs, CI/CD practices, or observability tooling is a plus. Familiarity with AI agent frameworks, prompt engineering, or LLM workflows is nice to have, but not required. Strong communication skills and a collaborative mindset within cross-functional engineering teams. Willingness to collaborate with globally distributed teams, including regular overlap with US-based stakeholders. What we offer: Health Benefits 1. Medical Full coverage for employees and their dependents through LUX MED. Employees have access to the “Premium” package, providing enhanced coverage and greater access to care. A client pays 100% of the premium for employees and 50% for dependents. 2. Dental No additional cost for dental coverage- integrated into LUX MED medical plan. 3. Vision Reimbursement for vision expenses up to 400 PLN every 2 years. Mental Health Tools Access to TELUS Health EAP to provide support and resources in a time of need. Additional Benefits 10% annual bonus 75% Creative Tax Vacation: 26 days. Home Office Stipend: One-time $150 equivalent home office stipend to outfit their home office. Calm Subscription: Premium subscription access to Calm, the #1 app for sleep, meditation, and relaxation. Hub Perks: Receive meal and transportation benefits when traveling to the Poland Hub. Baby Swag: If you have a baby or adopt, you’ll receive a company-branded first bath bundle. Sabbatical Program: After 5 years of employment, receive a month-long paid sabbatical leave, with a sabbatical leave bonus.

🏢 Summary: Lead AI Software Developer role focused on architecting and scaling AI-powered applications, backend systems, and multi-agent workflows across cloud and enterprise environments. The position involves designing secure integrations, optimizing LLM-based solutions, and leading technical delivery and best practices. It combines hands-on AI development with backend architecture and technical leadership. 🗂️ Requirements: Degree in Computer Science, AI, Data Science or related field, 8+ years of software engineering experience, 5+ years of Python backend development in production, Experience building and scaling Python applications, Hands-on experience with AI Agents, RAG and MCP, Experience with AWS or Azure cloud platforms, Experience with storage systems and databases, Knowledge of containerization and Kubernetes, Experience with API integrations and enterprise system connectivity, Leadership and mentoring experience 📃 Skills: Python, AWS, Azure, Kubernetes, RAG, MCP, APIs, Cloud, Databases, Containerization, AI, LLM 🏢 Description: We are seeking an experienced Lead AI Software Developer to design and scale AI-powered applications and integrations. In this role, you will architect backend systems, lead AI agent development, and ensure secure, scalable integration across cloud platforms and enterprise systems. Key Responsibilities Design and maintain middleware, APIs, and connectors integrating AI agents with enterprise systems Architect scalable backend services and cloud-based solutions (AWS/Azure) Develop and optimize multi-agent workflows and adaptive decision logic Fine-tune prompts and LLM-based solutions for domain-specific use cases Lead code reviews, mentor developers, and define development best practices Drive complex API integrations with internal and external AI platforms (incl. MCP servers) Remove technical roadblocks and ensure timely delivery Collaborate with AI, Data, and Platform teams to optimize automation architectures Maintain technical documentation and promote continuous improvement Requirements Degree in Computer Science, AI, Data Science, or similar field 8+ years of software engineering experience, including 5+ years of Python backend development (production) Strong experience building and scaling Python applications Hands-on experience with AI technologies (AI Agents, RAG, MCP) Experience with cloud platforms (AWS or Azure), storage, databases, and AI services Knowledge of containerization and Kubernetes Experience with API integrations and enterprise system connectivity Strong leadership and mentoring experience Excellent communication skills; fluent in Polish and English (min. B2); German is a plus Willingness to travel internationally (~10%) Nice to have: Experience with LangChain, LangGraph, multi-agent systems, prompt engineering, and LLM fine-tuning. What We Offer Work in a global and innovative technology environment Direct impact on enterprise AI and automation solutions Professional development and access to training programs Hybrid work model with flexible hours (central Wroclaw office) Competitive benefits package, cafeteria system, CSR initiatives, and employee clubs

🏢 Summary: The role focuses on designing, developing, and deploying AI agents to automate business processes using Microsoft Power Platform tools. It involves building compliant, secure, and well-documented AI solutions while collaborating in an Agile environment. The position emphasizes continuous improvement, integration with existing systems, and adherence to ethical AI standards. 🗂️ Requirements: Proven experience in a similar AI engineering role, Experience in AI agents or chatbot development, Hands-on experience with Microsoft Copilot Studio or similar platforms, Technical knowledge of cloud platforms, Experience working with APIs, Understanding of ethical AI principles, Fluency in English 📃 Skills: AI, Chatbots, Copilot, PowerPlatform, Cloud, APIs, Security, Compliance, Agile, Documentation 🏢 Description: Summary The AI Agent Engineer will be pivotal in developing AI agents and automation solutions aimed at enhancing business processes within an agile framewor. This role focuses on leveraging Microsoft Power Platform tools to deliver compliant, efficient, and well-documented AI solutions. Main Responsibilities: Design, Develop, and Deploy AI Agents: Architect, build, and maintain intelligent agent solutions to automate business processes, improving user experiences. Leverage Microsoft Copilot Studio: Utilize Microsoft Copilot Studio to create, customize, and optimize AI agents, ensuring seamless integration with existing systems. Collaborate Across Teams: Work closely with business stakeholders, product owners, and technology teams to gather requirements and deliver robust AI-driven solutions. Continuous Improvement: Monitor agent performance, collect user feedback, and implement enhancements for accuracy and user satisfaction. Ensure Compliance and Security: Adhere to data privacy, security, and compliance standards throughout the AI agent lifecycle. Documentation and Knowledge Sharing: Produce clear technical documentation and best practices to support adoption and maintenance. Stay Current: Keep updated with advancements in AI and recommend new tools and approaches as appropriate. Key Requirements: Proven track record in a similar role. Experience in AI agents or chatbot development. Hands-on expertise with Microsoft Copilot Studio or similar platforms. Fluency in English with strong communication skills. Understanding of ethical AI principles. Technical knowledge of cloud platforms and APIs. Nice to Have: Experience with programming languages like Python, C#, or JavaScript Knowledge of automated testing frameworks Experience in Agile teams

🏢 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: Office-based role for a Regular or Senior AI Test Automation Engineer to build and maintain AI-driven test automation for a modern investment platform. The position focuses on automating functional, integration, and non-functional testing using AI agents and integrating quality controls into CI/CD pipelines. The engineer will ensure compliance, traceability, and high test coverage in a fast-paced, full-stack environment. 🗂️ Requirements: 4+ years of test automation experience, Minimum 2 years in AI-assisted or agentic testing environments, Proficiency with Playwright and PyTest, Experience with CI/CD tools such as Jenkins or GitLab, Experience in API testing, Experience with AI testing agents and synthetic data generation, Knowledge of financial platforms and time-series data validation, Understanding of test strategy design and coverage metrics, Experience with compliance-driven testing in agile environments 📃 Skills: Python, PyTest, Playwright, Jenkins, GitLab, CI/CD, API, AI, Automation, Testing, SyntheticData, TimeSeries, Agile 🏢 Description: We are looking for an experienced Regular or Senior AI Test Automation Engineer to join a full-stack team developing a cutting-edge, AI-native investment platform. The person in this role will be responsible for test automation using AI agents and modern testing tools. This is a 100% office-based position. The project utilizes technologies such as Python, PyTest, Playwright, CI/CD tools (Jenkins, GitLab), as well as solutions for API testing and synthetic data generation If you're ready to make an impact in a dynamic environment, we want to hear from you! Responsibilities Automate test coverage across functional, integration and non-functional layers using AI agents (e.g., Unit Testing Agent, API Test Agent, Automation QA Agent) Integrate testing into CI/CD pipelines and implement quality gates for code, performance and security validation Leverage AI-generated test strategies and synthetic test data to accelerate validation cycles Ensure traceability and auditability of test results in line with investment platform compliance requirements Collaborate with the team to validate code quality and promote test-driven development practices Monitor and optimize test execution using observability tools and analytics from platform usage Requirements Minimum 4+ years of experience in test automation, including at least 2 years in AI-assisted or agentic testing environments Proficiency with test frameworks (e.g., Playwright, PyTest), CI/CD tools (Jenkins, GitLab) and API testing Experience with AI testing agents, synthetic data generation and test orchestration Familiarity with financial platforms, time-series data validation and compliance-driven testing Strong understanding of test strategy design, coverage metrics and defect triage in agile environments We offer/Benefits We gather like-minded people: 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 We provide growth opportunities: Outstanding career roadmap Leadership development, career advising, soft skills, and well-being programs Certification (GCP, Azure, AWS) Unlimited access to LinkedIn Learning, Get Abstract, Cloud Guru English classes We cover it all: Stable income (Employment Contract or B2B) Participation in the Employee Stock Purchase Plan Benefits package (health insurance, multisport, shopping vouchers) Strategically located offices featuring entertainment and relaxation zones, table tennis and football, free snacks, fantastic coffee, and more Referral bonuses Corporate, social and well-being events Please, note: The set of bonuses might vary based on the role you apply for – specifics will be discussed with our recruiter during the general interview. We will reach out to selected candidates exclusively. EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.

🏢 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: The offer is for a backend-focused AI Engineer role building a modern AI platform for business process automation and multi-agent system integration in a production-grade enterprise environment. The position centers on developing scalable Python-based services, secure API integrations, and cloud-native AI solutions using LLMs and RAG. The role involves designing robust, secure, and scalable architectures deployed on AWS or Azure with containerized infrastructure. 🗂️ Requirements: Extensive experience in backend development with Python in production environments, Hands-on experience with AI Agents, RAG, MCP, or LLM-based solutions, Experience with system integrations and API architecture, Experience with scalable cloud-based applications, Experience with AWS or Azure, Experience with Docker and Kubernetes, Experience designing secure and scalable enterprise solutions, Experience with multi-agent systems and workflow automation, Ability to conduct code reviews and mentor developers, Fluent English and Polish 📃 Skills: Python, LLM, RAG, MCP, AWS, Azure, Docker, Kubernetes, API, Microservices, Cloud, AI, Agents 🏢 Description: Additional information The project focuses on building and developing a modern AI platform supporting business process automation and the integration of intelligent agents with enterprise systems. The team is creating scalable solutions based on Python, cloud technologies, and multi-agent architecture, leveraging technologies such as LLMs, RAG, and advanced workflow automation. A key aspect of the project is designing secure integrations between AI platforms, internal systems, and external APIs within a production-grade environment. The project is delivered in an international technology-driven environment with a strong focus on innovation, high-quality architecture, and the development of cutting-edge AI solutions for a global industrial organization. You’re ideal for this role if you: Have extensive experience in backend development with Python in production environments Have hands-on experience with AI technologies such as AI Agents, RAG, MCP, or LLM-based solutions Understand system integrations, API architecture, and scalable cloud-based applications Have worked with AWS or Azure and containerized environments such as Docker and Kubernetes Are experienced in designing secure and scalable enterprise solutions Have strong problem-solving skills and can proactively remove technical blockers Enjoy working closely with cross-functional teams in an international environment Have experience mentoring developers, conducting code reviews, and promoting engineering best practices Are interested in modern AI architectures, workflow automation, and multi-agent systems Communicate fluently in English and Polish and feel comfortable working in a global setup Your day-to-day responsibilities include:​ Designing and developing scalable backend services and AI-driven integration solutions in Python Building and maintaining APIs, connectors, and middleware between AI platforms and enterprise systems Creating and optimizing multi-agent workflows and intelligent automation processes Collaborating with AI Engineers, Data Engineers, and other technical stakeholders on system architecture and integrations Integrating external AI platforms, internal tools, and cloud services into production environments Working with cloud technologies and containerized infrastructure in AWS or Azure environments Improving the quality, reliability, and performance of AI-powered solutions and LLM-based workflows Conducting code reviews, mentoring team members, and supporting engineering best practices Troubleshooting technical issues, identifying bottlenecks, and driving continuous improvements Contributing to technical documentation, architecture discussions, and innovation initiatives across the team

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

🏢 Summary: Remote role focused on building scalable data pipelines and AI-driven solutions for datacenter development planning systems. The position involves integrating multiple data sources, configuring AI agents, and delivering BI-ready outputs while collaborating directly with clients. It offers high autonomy and ownership across the full software development lifecycle. 🗂️ Requirements: 4+ years software development experience across full SDLC, 3+ years hands-on experience with Java, Strong SQL skills, Experience working with databases, Practical experience developing or configuring AI Agents, Experience in system integration, Client-facing communication experience in English, Ability to design and implement architecture solutions 📃 Skills: Java, SQL, Databases, AI, ETL, GCP, Python, BI 🏢 Description: Are you passionate about building scalable, high-performance platforms that power the next generation of data-driven applications? Join our dynamic team working on mission-critical software systems for Datacenter development planning - all in a fully remote work environment . We manage complex supply timelines and supplier relationships, delivering solutions that make a real impact for our clients. If you thrive in a modern, autonomous engineering environment and enjoy direct collaboration with stakeholders, we want to hear from you! If you're ready to make an impact in a dynamic environment, we want to hear from you! Responsibilities Build robust data pipelines integrating information from multiple data sources Configure and develop AI Agents to process and analyze data efficiently Transform and optimize agent outputs into BI-friendly formats for business intelligence use Communicate directly with clients on a daily basis to gather requirements and provide updates Propose and implement design and architecture solutions for your deliverables Collaborate with world-class engineers, architects, and product managers Focus on development activities in an environment with minimal meetings and high autonomy Requirements 4+ years of experience in software development and integration across the full system implementation lifecycle (analyze, design, implement, build, test, support) 3+ years of hands-on experience with Java Strong SQL skills and experience working with databases Practical experience in developing or configuring AI Agents Excellent English communication skills, with proven experience in client-facing roles Strong self-management and prioritization abilities Nice to have Experience with Google Cloud Platform (GCP) Python programming skills ETL (Extract, Transform, Load) experience Familiarity with Agent Development Kit We offer/Benefits We gather like-minded people: 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 We provide growth opportunities: Outstanding career roadmap Leadership development, career advising, soft skills, and well-being programs Certification (GCP, Azure, AWS) Unlimited access to LinkedIn Learning, Get Abstract, Cloud Guru English classes We cover it all: Stable income (Employment Contract or B2B) Participation in the Employee Stock Purchase Plan Benefits package (health insurance, multisport, shopping vouchers) Strategically located offices featuring entertainment and relaxation zones, table tennis and football, free snacks, fantastic coffee, and more Referral bonuses Corporate, social and well-being events Please, note: The set of bonuses might vary based on the role you apply for – specifics will be discussed with our recruiter during the general interview. We will reach out to selected candidates exclusively. EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.

🏢 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