Fullstack Engineer (.NET & Angular) with Data & AI expertise

🏢 Summary: Contract B2B role for a senior engineer to rebuild a 401(k) retirement plan administration platform from scratch with an AI-native foundation, owning end-to-end delivery across AWS infrastructure, JVM backend, and TypeScript frontend. The position involves architectural decision-making, close collaboration with US-based stakeholders, and translating complex financial domain rules into scalable software. Strong emphasis on AI-assisted engineering practices and greenfield system design in a regulated, transactional environment. 🗂️ Requirements: 7+ years professional software engineering experience, Senior or staff-level system design experience, Strong JVM backend experience (Kotlin, Java, or Scala), Solid TypeScript frontend experience (React, Angular, or similar), Production experience with AWS, Deep understanding of VPCs, IAM, RDS, Lambda or ECS, Experience with Infrastructure as Code (Pulumi, Terraform, or CDK), Experience designing non-trivial distributed systems, Fluent English, Experience in regulated or transactional domains, Ability to work with US East Coast time overlap 📃 Skills: Kotlin, Java, Scala, TypeScript, React, Angular, AWS, VPC, IAM, RDS, Lambda, ECS, Pulumi, Terraform, CDK, Claude, Cursor, CI/CD, Python 🏢 Description: Vecten | Client: US-based, retirement plan administration | Remote (Poland-based) | Contract / B2B We are an AI-native data and technology partner for private capital and healthcare. Founded in 2010 and headquartered in Warsaw, we work with leading PE firms, VC funds, and healthcare organizations to build proprietary data infrastructure, deploy AI solutions, and drive AI-native transformation. Our clients manage a cumulative $210B+ in assets. Our average engagement runs five years. Our NPS sits above 80. We don't need to claim credibility — we can show it. We've also done to ourselves what we now do for clients. We've restructured our own company around AI — tools, policies, roles, delivery models. This isn't a pitch. It's a playbook we've already run, and we're hiring the engineers who will run it for others. - Financial Platform Rebuild - You'd be joining a small, senior team rebuilding a 401(k) plan administration platform from the ground up. The existing system was built and operated by a third party; the client is taking ownership and rebuilding it greenfield with a strong AI-native foundation. This is not a ticket-taking role. You'll sit in product conversations with business users, push back on requirements, propose architectural directions, and own end-to-end delivery from infrastructure to UI. The client is US-based with engineers on both coasts. Working hours need meaningful overlap with US East Coast (afternoon CET works well). What you'd be doing Designing and building the core platform: event processing for money math, plan configuration, eligibility rules, and the supporting services around them. Owning vertical slices end-to-end – AWS infrastructure, Kotlin backend, TypeScript frontend. Acting as a thought partner on architecture decisions still being made (IaC choice, service boundaries, data model). Interviewing internal subject-matter experts to translate domain knowledge into working software. Setting the bar for AI-native engineering practices – how the team uses Claude Code, Cursor, agents, and what good looks like. Logistics Engagement model: Contract via Vecten (B2B), initial 3–6 month commitment with strong likelihood of extension. Hardware: Vecten provides a managed, secured environment. Interview process: Vecten internal screen → tech screen with the client's tech lead → live coding session (likely screen-share, AI-assisted format) → culture call. Start: Ideally within 2–4 weeks. Must-have 7+ years of professional software engineering experience , with a meaningful track record of senior or staff-level work. Strong backend engineering on the JVM – Kotlin, Java, or Scala in production. Kotlin experience preferred; if you have strong Java/Scala and have shipped Kotlin on a side project, that works. Solid TypeScript on the frontend – React, Angular, or similar, enough to own UI slices without needing a dedicated frontend pair. Solid cloud infrastructure fundamentals – you've reasoned about networking, IAM, compute, and managed services for real systems and can defend the trade-offs. Architecture chops – you've designed non-trivial systems, can defend trade-offs, and are comfortable disagreeing when you think someone's wrong. English fluency – you'll be talking to business users and engineers daily. Strongly preferred AI-native fluency – you actively use Claude Code, Cursor, or equivalent agents in your daily workflow. You can talk specifically about what you delegate, what you don't, and why. AWS in production – not just "deployed something once". Deep familiarity with VPCs, IAM, RDS, Lambda/ECS trade-offs on real workloads. IaC experience – Pulumi, Terraform, or CDK. Background in regulated or transactional domains – fintech, payments, healthcare, insurance, ERP, billing systems. Anything where audit trails, eligibility rules, and money math matter. Comfort working in greenfield ambiguity – you've been the second or third engineer on a platform before and know how to make progress when half the decisions aren't made yet. Nice to have Direct retirement / pensions / 401(k) experience – the unicorn profile. If you have it, lead with it. DevOps depth – you've owned CI/CD pipelines, observability stacks, and on-call rotations. Python data-stack background – likely to become relevant as analytics and reporting work comes online. What we're not asking for A specific number of years on Kotlin, AWS, or any one tool. We care about depth of judgment, not box-ticking. Front-end specialisation. You don't need to debate React Server Components – you need to ship working UI. Big-bank or HFT pedigree. This is retirement plan administration, not trading. Benefits Unrestricted AI Stack & Premium Gear: Fully paid licenses for Cursor, Claude Pro, etc. Work with a talented team redefining the global perception of Poland Flexible working hours and remote work options Comfortable office in central Warsaw with all essential tools Multisport card & private medical care A culture of feedback – evaluation meetings, mentoring, and career growth opportunities Frontier Engineering Culture: Build alongside elite engineers who are shipping systems that drive real investment decisions. Backed by continuous growth and a strong knowledge-sharing culture ( check our YouTube ). Sounds like a perfect place for you? Don’t hesitate to click apply and submit your application today!

🏢 Summary: Contract role for a senior engineer to rebuild a 401(k) plan administration platform from scratch with an AI-native foundation. The position involves end-to-end ownership of architecture and delivery across AWS infrastructure, Kotlin backend, and TypeScript frontend in close collaboration with US-based stakeholders. You will shape system design decisions and implement core financial domain logic in a greenfield environment. 🗂️ Requirements: 7+ years professional software engineering experience, Strong JVM backend experience (Kotlin, Java, or Scala) in production, Hands-on TypeScript frontend experience (React, Angular, or similar), Production experience with AWS and cloud infrastructure design, Experience designing non-trivial system architectures, IaC experience (Pulumi, Terraform, or CDK), Experience in regulated or transactional domains (fintech, payments, healthcare, insurance, ERP, billing), Ability to work with US East Coast time overlap, Fluent English, Experience using AI coding tools in daily workflow 📃 Skills: Kotlin, Java, Scala, TypeScript, React, Angular, AWS, VPC, IAM, RDS, Lambda, ECS, Pulumi, Terraform, CDK, Claude, Cursor, CI/CD, Python 🏢 Description: Vecten | Client: US-based, retirement plan administration | Remote (Poland-based) | Contract / B2B We are an AI-native data and technology partner for private capital and healthcare. Founded in 2010 and headquartered in Warsaw, we work with leading PE firms, VC funds, and healthcare organizations to build proprietary data infrastructure, deploy AI solutions, and drive AI-native transformation. Our clients manage a cumulative $210B+ in assets. Our average engagement runs five years. Our NPS sits above 80. We don't need to claim credibility — we can show it. We've also done to ourselves what we now do for clients. We've restructured our own company around AI — tools, policies, roles, delivery models. This isn't a pitch. It's a playbook we've already run, and we're hiring the engineers who will run it for others. - Financial Platform Rebuild - You'd be joining a small, senior team rebuilding a 401(k) plan administration platform from the ground up. The existing system was built and operated by a third party; the client is taking ownership and rebuilding it greenfield with a strong AI-native foundation. This is not a ticket-taking role. You'll sit in product conversations with business users, push back on requirements, propose architectural directions, and own end-to-end delivery from infrastructure to UI. The client is US-based with engineers on both coasts. Working hours need meaningful overlap with US East Coast (afternoon CET works well). What you'd be doing Designing and building the core platform: event processing for money math, plan configuration, eligibility rules, and the supporting services around them. Owning vertical slices end-to-end – AWS infrastructure, Kotlin backend, TypeScript frontend. Acting as a thought partner on architecture decisions still being made (IaC choice, service boundaries, data model). Interviewing internal subject-matter experts to translate domain knowledge into working software. Setting the bar for AI-native engineering practices – how the team uses Claude Code, Cursor, agents, and what good looks like. Logistics Engagement model: Contract via Vecten (B2B), initial 3–6 month commitment with strong likelihood of extension. Hardware: Vecten provides a managed, secured environment. Interview process: Vecten internal screen → tech screen with the client's tech lead → live coding session (likely screen-share, AI-assisted format) → culture call. Start: Ideally within 2–4 weeks. Must-have 7+ years of professional software engineering experience , with a meaningful track record of senior or staff-level work. Strong backend engineering on the JVM – Kotlin, Java, or Scala in production. Kotlin experience preferred; if you have strong Java/Scala and have shipped Kotlin on a side project, that works. Solid TypeScript on the frontend – React, Angular, or similar, enough to own UI slices without needing a dedicated frontend pair. Solid cloud infrastructure fundamentals – you've reasoned about networking, IAM, compute, and managed services for real systems and can defend the trade-offs. Architecture chops – you've designed non-trivial systems, can defend trade-offs, and are comfortable disagreeing when you think someone's wrong. English fluency – you'll be talking to business users and engineers daily. Strongly preferred AI-native fluency – you actively use Claude Code, Cursor, or equivalent agents in your daily workflow. You can talk specifically about what you delegate, what you don't, and why. AWS in production – not just "deployed something once". Deep familiarity with VPCs, IAM, RDS, Lambda/ECS trade-offs on real workloads. IaC experience – Pulumi, Terraform, or CDK. Background in regulated or transactional domains – fintech, payments, healthcare, insurance, ERP, billing systems. Anything where audit trails, eligibility rules, and money math matter. Comfort working in greenfield ambiguity – you've been the second or third engineer on a platform before and know how to make progress when half the decisions aren't made yet. Nice to have Direct retirement / pensions / 401(k) experience – the unicorn profile. If you have it, lead with it. DevOps depth – you've owned CI/CD pipelines, observability stacks, and on-call rotations. Python data-stack background – likely to become relevant as analytics and reporting work comes online. What we're not asking for A specific number of years on Kotlin, AWS, or any one tool. We care about depth of judgment, not box-ticking. Front-end specialisation. You don't need to debate React Server Components – you need to ship working UI. Big-bank or HFT pedigree. This is retirement plan administration, not trading. Benefits Unrestricted AI Stack & Premium Gear: Fully paid licenses for Cursor, Claude Pro, etc. Work with a talented team redefining the global perception of Poland Flexible working hours and remote work options Comfortable office in central Warsaw with all essential tools Multisport card & private medical care A culture of feedback – evaluation meetings, mentoring, and career growth opportunities Frontier Engineering Culture: Build alongside elite engineers who are shipping systems that drive real investment decisions. Backed by continuous growth and a strong knowledge-sharing culture ( check our YouTube ). Sounds like a perfect place for you? Don’t hesitate to click apply and submit your application today!

🏢 Summary: Design and build a modern Data Platform from scratch for an insurance client, establishing a governed, production-ready Snowflake environment and enabling AI capabilities. The role covers full lifecycle ownership from architecture and data modelling to pipeline implementation and post-launch operations. You will develop scalable data ingestion and processing solutions while promoting best practices, automation, and CI/CD standards. 🗂️ Requirements: Hands-on experience with Python, Proven experience with data warehouse solutions (Snowflake, BigQuery or Redshift), Experience with Databricks or data lakehouse platforms, Strong expertise in data modelling and ETL/pipeline design, Experience with cloud platforms (AWS, GCP or Azure), Experience with cloud data services (S3, GCS, ABS, EMR, Dataproc, MWAA, Composer, ADF or AWS Glue), Ability to design and maintain data quality and governance standards, Experience working in Agile environments 📃 Skills: Python, SQL, Snowflake, Databricks, BigQuery, Redshift, Azure, AWS, GCP, Terraform, dbt, Spark, PowerBI, ADF, Glue, EMR, Dataproc, MWAA, Composer 🏢 Description: We are #VLteam – tech enthusiasts constantly striving for growth. The team is our foundation, that’s why we care the most about the friendly atmosphere, a lot of self-development opportunities and good working conditions. Trust and autonomy are two essential qualities that drive our performance. We simply believe in the idea of ​​“measuring outcomes, not hours”. Join us & see for yourself! About the role The majority of these roles will be at the forefront of client collaboration and building VL positions in the industry (spearheading projects). You will work closely and directly with a different specialist from the client side. Collaborate with stakeholders to define requirements, develop data pipelines and data quality metrics. You will participate in defining the requirements and architecture for the new platform, implement the solution, and remain involved in its operations and maintenance post-launch Your work will also introduce data governance and management, laying the foundation for accurate and comprehensive reporting that was previously impossible. Build data ingestion & processing pipelines. All of the above with a strong focus on the customer’s needs. Flexibility in action and the ability to overcome obstacles are highly valued in this role. View available projects: Project JetBrains Projectt scope The client is introducing Atlan as a new internal Data Catalogue solution and uses Glean as a company-wide unified search platform for thousands of employees. To ensure a smooth transition from our existing Knowledge Base and OpenMetadata setup, we need to index Atlan assets into Glean so that metadata for databases, tables, metrics, and reports is easily discoverable through search. Tech stack Python,  System & Data Integration, Kubernetes, System design, Infrastructure mindset Skills We’re looking for a Data Platform Engineer with experience in data platforms and system design at scale. We expect a track record in designing integration architectures for external systems and streamlining data migration/ingestion. As a Data Platform Engineer, you will design and implement a solution that: Periodically indexes Atlan metadata assets into Glean, runs on a configurable schedule (hourly/daily), is production-ready, observable, and maintainable by our DevOps team after handover. Moreover, ensure compliance and data governance at the appropriate level in line with the company’s standards. What we expect in general A proactive approach and flexibility in action were a must Very good command of English (written and spoken) Hands-on experience with Python Proven experience with data warehouse solutions (e.g., BigQuery, Redshift, Snowflake) Experience with Databricks or data lakehouse platforms Strong background in data modelling, data catalogue concepts, data formats, and data pipelines/ETL design, implementation and maintenance Ability to thrive in an Agile environment, collaborating with team members to solve complex problems with transparency Experience with AWS/GCP/Azure cloud services, including: GCS/S3/ABS, EMR/Dataproc, MWAA/Composer or Microsoft Fabric, ADF/AWS Glue Experience in ecosystems requiring improvements and the drive to implement best practices as a long-term process Experience with Infrastructure as Code practices, particularly Terraform, is an advantage Proactive approach Don’t worry if you don’t meet all the requirements. What matters most is your passion and willingness to develop. Apply and find out! A few perks of being with us Building tech community Flexible hybrid work model Home office reimbursement Language lessons MyBenefit points Private healthcare Training Package Virtusity / in-house training And a lot more! Apply now

🏢 Summary: Lead Full-Stack /.NET Developer role focused on modernizing a legacy accounting platform into a cloud-native Azure-based solution using microservices, .NET Core, Angular, and Kubernetes. The position involves backend API development, legacy system decomposition, Azure integrations, CI/CD, and AI-assisted software delivery practices. Candidates will work on scalable cloud architecture while collaborating across engineering and product teams. 🗂️ Requirements: 5+ years experience with .NET Core / ASP.NET Core and C#, Experience designing and implementing REST APIs, Angular frontend development skills, Understanding of microservices architecture, Experience with relational databases, Practical experience with Azure cloud services, Experience with CI/CD pipelines, Knowledge of Docker and Kubernetes / AKS, Ability to work with legacy systems and complex business logic, Strong troubleshooting and collaboration skills, Good English communication skills 📃 Skills: C#, ASP.NET, NETCore, Angular, REST, Azure, AKS, Docker, Kubernetes, SQL, AzureSQL, SQLServer, AzureDevOps, APIManagement, ApplicationGateway, FrontDoor, KeyVault, AzureMonitor, ACR, CI/CD, Microservices, GitHubCopilot 🏢 Description: We are looking for a strong Lead Full-Stack / .NET Developer to support the modernization of a legacy accounting application and its migration to Azure Cloud. The project focuses on transforming an existing desktop/monolithic application into a modern cloud-based solution based on microservices, .NET Core backend APIs, Angular frontend, and Azure platform services. The role requires hands-on engineering experience, strong backend/API development skills, and the ability to work in a modernization context where new cloud-native components need to coexist with legacy systems and shared data models. The team will also use AI-assisted delivery practices and AI agents as part of a new AI SDLC approach to improve development, analysis, testing, and delivery efficiency. Responsibilities Design, develop and maintain backend services and APIs using .NET Core / ASP.NET Core Support decomposition of legacy monolithic functionality into modular services and APIs Development and enhancement of Angular-based frontend components where needed Integration of application components with Azure services and existing backend systems Work with Azure Kubernetes Service, API Management, Application Gateway, Azure SQL and related platform services Contribute to technical analysis of legacy application behavior, data flows and integration points Implementation of clean, maintainable and testable code following engineering best practices Participation in code reviews, automated testing, CI/CD pipelines and release activities Collaboration with architects, product owners, QA engineers and other developers to clarify requirements and technical constraints Use of AI-assisted development tools and agents as part of the project delivery process Requirements 5+ years of experience with .NET Core / ASP.NET Core and C# Solid experience in designing and implementing REST APIs Skills in Angular and modern frontend development Understanding of microservices architecture and application modernization patterns Experience working with relational databases, preferably Azure SQL / SQL Server Practical experience with Azure cloud services Proficiency in CI/CD pipelines, preferably Azure DevOps Understanding of containerized application delivery, preferably Docker and Kubernetes / AKS Capability to work with legacy systems, existing data models and complex business logic Strong troubleshooting, communication and collaboration skills Good English communication skills Nice to have Background in accounting, finance, ERP or invoicing systems Experience migrating desktop or monolithic applications to cloud-native architectures Familiarity with Azure API Management, Application Gateway, Front Door, Key Vault, Azure Monitor and Azure Container Registry Expertise in domain-driven design, service decomposition and API-first development Skills in automated testing and quality engineering practices Flexibility to use AI-assisted development tools such as GitHub Copilot, Claude Code or similar coding agents Interest in AI SDLC, agent-assisted delivery and modern software engineering automation We offer 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: Senior AI Software Engineer role focused on delivering scalable, real-time backend systems using AI-driven and agentic coding practices. The position emphasizes designing, generating, testing, and deploying solutions with LLMs and AI agents rather than manual coding. You will architect event-driven systems, integrate external platforms, and manage CI/CD and cloud infrastructure. 🗂️ Requirements: 4+ years backend or distributed systems experience, Experience with LLM APIs or AI agents, Proficiency in at least one backend language, Practical experience with cloud platforms, Knowledge of relational and NoSQL databases, Experience with message queues and integration patterns, Experience with CI/CD pipelines, Experience with Docker and infrastructure management 📃 Skills: LLM, APIs, Agents, Java, Python, Go, TypeScript, GCP, AWS, Azure, SQL, NoSQL, Docker, CICD, Microservices, CQRS, IoT, Copilot, Cursor, Claude, Gemini 🏢 Description: AI Software/Fullstack Engineer (Senior) 📍Warszawa (hybrydowo) Dołącz do zespołu AI Software Development w Locon! W roli kluczowe jest dostarczanie działających rozwiązań szybciej i skuteczniej dzięki AI — nie manualne pisanie dużych ilości kodu, lecz świadome wykorzystanie modeli, agentów i narzędzi AI na każdym etapie procesu:od analizy wymagań, przez architekturę i projektowanie, po testy, optymalizację i wdrożenie. To rola dla osoby, która praktykuje AI-driven / agentic coding — buduje rozwiązania we współpracy z inteligentnymi agentami, automatyzuje proces wytwórczy i konsekwentnie zwiększa produktywność zespołu poprzez mądre wykorzystanie sztucznej inteligencji. Rozwijamy systemy backendowe przetwarzające dane w czasie rzeczywistym — setki tysięcy zdarzeń dziennie, integracje IoT, moduły alertowe, geofencing oraz API o dużej skali operacyjnej. Kluczowe jest projektowanie rozwiązań skalowalnych i niezawodnych oraz wykorzystywanie AI na każdym etapie procesu — od analizy wymagań po testy i wdrożenie. Liczy się nie znajomość konkretnego frameworka, lecz zdolność szybkiej adaptacji, efektywnego wykorzystania AI (agentic coding) i dostarczania realnej wartości biznesowej. 🚀 Kluczowe cele na dobry początek: Rozumienie i definiowanie wymagań – aktywny udział w discovery, zadawanie właściwych pytań, przekształcanie potrzeb biznesowych w precyzyjne specyfikacje. Specyfikacja i projektowanie – tworzenie dokumentacji technicznej, propozycji architektury i planów implementacji – z pomocą AI, ale z pełną odpowiedzialnością za decyzje. Delivery bez ręcznego kodowania – generowanie, weryfikacja i integracja kodu przy użyciu narzędzi AI (Copilot, Cursor, Claude, Gemini i in.). Twoja rola tokierowanie, recenzowanie i decydowanie – nie ręczne pisanie linii po linii. Testy end-to-end i integracyjne – projektowanie strategii testów, definiowanie przypadków brzegowych, weryfikacja jakości z pomocą AI. CI/CD i operacje – konfiguracja i utrzymanie pipeline'ów, monitoring, automatyzacja deploymentu. Sprawdź jakie wyzwania na Ciebie czekają : ✔️Udział w planowaniu i refinemencie – tłumaczysz wymagania biznesowe na plany techniczne zrozumiałe dla AI i dla ludzi. ✔️ Szybkie prototypowanie i weryfikacja – budujesz MVP w ciągu kilku dni oraz iterujesz na podstawie feedbacku. ✔️Praca z systemami event-driven i real-time – rozumiesz asynchroniczność, kolejki strumienie danych i potrafisz je zaprojektować. ✔️Integracje z zewnętrznymi systemami – ERP, CRM, platformy e-commerce, IoT: rozumiesz wzorce integracyjne niezależnie od języka czy frameworka. ✔️ Recenzowanie kodu generowanego przez AI – rozumiesz, co AI produkuje, wyłapujesz błędy logiczne, problemy bezpieczeństwa i wydajnościowe. ✔️Zarządzanie długiem technicznym i modernizacja – identyfikujesz obszary do poprawy i wdrażasz zmiany inkrementalnie. 💡To rola właśnie dla Ciebie jeśli masz: ⚆ Min. 4–5 lat komercyjnego doświadczenia w inżynierii oprogramowania (backend lubsystemy rozproszone). ⚆ Masz doświadczenie z LLM API, agentami AI lub automatyzacją workflow. ⚆ Biegłe posługiwanie się co najmniej jednym językiem backendowym (Java, Python, Go, TypeScript lub innym). ⚆ Praktyczna znajomość chmury (GCP, AWS lub Azure) – wdrożenia, serwisymanaged, bezpieczeństwo, koszty. ⚆ Znajomość baz danych (relacyjnych i NoSQL), kolejek wiadomości i wzorcówintegracyjnych. ⚆ Doświadczenie z CI/CD, Dockerem i podstawami zarządzania infrastrukturą. Umiejętności dodatkowe (mile widziane): ⚆ Doświadczenie z systemami real-time lub IoT. ⚆ Znajomość wzorców architektonicznych (mikroserwisy, event-driven, CQRS, CleanArchitecture). 🚀 Mindset I postawa: AI-First w każdym kroku – Twój domyślny tryb pracy to: zapytaj AI, zweryfikuj,dostosuj, wdróż. Szerokie myślenie technologiczne – swoboda w poruszaniu się po architekturze backendowej, chmurze, bazach danych, kolejkach, API i zagadnieniach bezpieczeństwa. Szybkość i eksperymentowanie – komfort pracy w dynamicznym środowisku, gotowość do testowania nowych narzędzi i rozwiązań. Elastyczność i otwartość – adaptacyjność wobec zmieniających się technologii i wyzwań. Ownership i odpowiedzialność – samodzielne prowadzenie tematów od koncepcji do wdrożenia, z koncentracją na rezultacie. Co zyskasz dołączając do Locon? 🤖 AI-First engineering environment – modele, agenci i automatyzacja są integralną częścią procesu developmentu (design → code → test → deploy). AI to warstwa produkcyjna, nie eksperymentalna. 🧠 Agentic coding w praktyce – praca z multi-agent workflows, automatyzacją generowania i refaktoryzacji kodu, testów oraz dokumentacji. Rozwój w obszarze nowoczesnych praktyk AI-driven software engineering. ⚙️ Autonomia technologiczna – możliwość doboru narzędzi, modeli i pipeline’ów AI dopasowanych do problemu. Decyzje technologiczne oparte na efektywności i jakości, nie sztywnym stacku. 🏗️ Realny wpływ na architekturę systemów – projektowanie rozwiązań event-driven i real-time oraz współtworzenie standardów skalowalności, wydajności i bezpieczeństwa. 🔗 Środowisko cross-functional – współpraca z obszarem produktu, data/AI i infrastrukturą przy projektowaniu rozwiązań end-to-end. 📈 Dedykowany budżet rozwojowy – szkolenia, certyfikacje i konferencje technologiczne (AI, architektura systemów rozproszonych, cloud, security). 🏥 Prywatna opieka medyczna. 🏃 Karta sportowa.

🏢 Summary: Senior AI Software Engineer role focused on AI-driven and agentic coding to design, build and deploy scalable real-time backend systems. The position emphasizes leveraging LLMs and AI agents across the full software lifecycle, from requirements analysis to architecture, testing and CI/CD. Work involves event-driven architectures, IoT integrations and high-scale APIs in a cloud environment. 🗂️ Requirements: 4–5+ years commercial experience in backend or distributed systems engineering, Experience with LLM APIs, AI agents or workflow automation, Proficiency in at least one backend language (Java, Python, Go, TypeScript or similar), Practical experience with cloud platforms (GCP, AWS or Azure), Knowledge of relational and NoSQL databases, Experience with message queues and integration patterns, Experience with CI/CD pipelines, Experience with Docker and infrastructure basics 📃 Skills: Python, Java, Go, TypeScript, LLM, API, Copilot, Cursor, Claude, Gemini, GCP, AWS, Azure, SQL, NoSQL, Docker, CI/CD, IoT, Microservices, CQRS 🏢 Description: AI Software/Fullstack Engineer (Senior) 📍Szczecin (stacjonarnie/hybrydowo) Dołącz do zespołu AI Software Development w Locon! W roli kluczowe jest dostarczanie działających rozwiązań szybciej i skuteczniej dzięki AI — nie manualne pisanie dużych ilości kodu, lecz świadome wykorzystanie modeli, agentów i narzędzi AI na każdym etapie procesu:od analizy wymagań, przez architekturę i projektowanie, po testy, optymalizację i wdrożenie. To rola dla osoby, która praktykuje AI-driven / agentic coding — buduje rozwiązania we współpracy z inteligentnymi agentami, automatyzuje proces wytwórczy i konsekwentnie zwiększa produktywność zespołu poprzez mądre wykorzystanie sztucznej inteligencji. Rozwijamy systemy backendowe przetwarzające dane w czasie rzeczywistym — setki tysięcy zdarzeń dziennie, integracje IoT, moduły alertowe, geofencing oraz API o dużej skali operacyjnej. Kluczowe jest projektowanie rozwiązań skalowalnych i niezawodnych oraz wykorzystywanie AI na każdym etapie procesu — od analizy wymagań po testy i wdrożenie. Liczy się nie znajomość konkretnego frameworka, lecz zdolność szybkiej adaptacji, efektywnego wykorzystania AI (agentic coding) i dostarczania realnej wartości biznesowej. 🚀 Kluczowe cele na dobry początek: Rozumienie i definiowanie wymagań – aktywny udział w discovery, zadawanie właściwych pytań, przekształcanie potrzeb biznesowych w precyzyjne specyfikacje. Specyfikacja i projektowanie – tworzenie dokumentacji technicznej, propozycji architektury i planów implementacji – z pomocą AI, ale z pełną odpowiedzialnością za decyzje. Delivery bez ręcznego kodowania – generowanie, weryfikacja i integracja kodu przy użyciu narzędzi AI (Copilot, Cursor, Claude, Gemini i in.). Twoja rola tokierowanie, recenzowanie i decydowanie – nie ręczne pisanie linii po linii. Testy end-to-end i integracyjne – projektowanie strategii testów, definiowanie przypadków brzegowych, weryfikacja jakości z pomocą AI. CI/CD i operacje – konfiguracja i utrzymanie pipeline'ów, monitoring, automatyzacja deploymentu. Sprawdź jakie wyzwania na Ciebie czekają : ✔️Udział w planowaniu i refinemencie – tłumaczysz wymagania biznesowe na plany techniczne zrozumiałe dla AI i dla ludzi. ✔️ Szybkie prototypowanie i weryfikacja – budujesz MVP w ciągu kilku dni oraz iterujesz na podstawie feedbacku. ✔️Praca z systemami event-driven i real-time – rozumiesz asynchroniczność, kolejki strumienie danych i potrafisz je zaprojektować. ✔️Integracje z zewnętrznymi systemami – ERP, CRM, platformy e-commerce, IoT: rozumiesz wzorce integracyjne niezależnie od języka czy frameworka. ✔️ Recenzowanie kodu generowanego przez AI – rozumiesz, co AI produkuje, wyłapujesz błędy logiczne, problemy bezpieczeństwa i wydajnościowe. ✔️Zarządzanie długiem technicznym i modernizacja – identyfikujesz obszary do poprawy i wdrażasz zmiany inkrementalnie. 💡To rola właśnie dla Ciebie jeśli masz: ⚆ Min. 4–5 lat komercyjnego doświadczenia w inżynierii oprogramowania (backend lubsystemy rozproszone). ⚆ Masz doświadczenie z LLM API, agentami AI lub automatyzacją workflow. ⚆ Biegłe posługiwanie się co najmniej jednym językiem backendowym (Java, Python, Go, TypeScript lub innym). ⚆ Praktyczna znajomość chmury (GCP, AWS lub Azure) – wdrożenia, serwisymanaged, bezpieczeństwo, koszty. ⚆ Znajomość baz danych (relacyjnych i NoSQL), kolejek wiadomości i wzorcówintegracyjnych. ⚆ Doświadczenie z CI/CD, Dockerem i podstawami zarządzania infrastrukturą. Umiejętności dodatkowe (mile widziane): ⚆ Doświadczenie z systemami real-time lub IoT. ⚆ Znajomość wzorców architektonicznych (mikroserwisy, event-driven, CQRS, CleanArchitecture). 🚀 Mindset I postawa: AI-First w każdym kroku – Twój domyślny tryb pracy to: zapytaj AI, zweryfikuj,dostosuj, wdróż. Szerokie myślenie technologiczne – swoboda w poruszaniu się po architekturze backendowej, chmurze, bazach danych, kolejkach, API i zagadnieniach bezpieczeństwa. Szybkość i eksperymentowanie – komfort pracy w dynamicznym środowisku, gotowość do testowania nowych narzędzi i rozwiązań. Elastyczność i otwartość – adaptacyjność wobec zmieniających się technologii i wyzwań. Ownership i odpowiedzialność – samodzielne prowadzenie tematów od koncepcji do wdrożenia, z koncentracją na rezultacie. Co zyskasz dołączając do Locon? 🤖 AI-First engineering environment – modele, agenci i automatyzacja są integralną częścią procesu developmentu (design → code → test → deploy). AI to warstwa produkcyjna, nie eksperymentalna. 🧠 Agentic coding w praktyce – praca z multi-agent workflows, automatyzacją generowania i refaktoryzacji kodu, testów oraz dokumentacji. Rozwój w obszarze nowoczesnych praktyk AI-driven software engineering. ⚙️ Autonomia technologiczna – możliwość doboru narzędzi, modeli i pipeline’ów AI dopasowanych do problemu. Decyzje technologiczne oparte na efektywności i jakości, nie sztywnym stacku. 🏗️ Realny wpływ na architekturę systemów – projektowanie rozwiązań event-driven i real-time oraz współtworzenie standardów skalowalności, wydajności i bezpieczeństwa. 🔗 Środowisko cross-functional – współpraca z obszarem produktu, data/AI i infrastrukturą przy projektowaniu rozwiązań end-to-end. 📈 Dedykowany budżet rozwojowy – szkolenia, certyfikacje i konferencje technologiczne (AI, architektura systemów rozproszonych, cloud, security). 🏥 Prywatna opieka medyczna. 🏃 Karta sportowa.

🏢 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: Lead Data Engineer role focused on building scalable AI and cloud-based data solutions in a global environment. The position involves leading data engineering initiatives, designing secure cloud architectures, and supporting AI applications using AWS or Azure. The offer includes hybrid work, professional development opportunities, and a comprehensive benefits package. 🗂️ Requirements: Degree in Computer Science, AI, Data Science, Software Engineering, or equivalent experience, 8+ years in software engineering, 5+ years of backend development with Python, Experience designing and scaling complex data systems, Hands-on experience with AI technologies, Experience with AWS or Azure, Strong knowledge of Python and SQL, Experience with APIs, data integration, automation tools, and data governance, Understanding of data security and compliance standards, Leadership and mentoring experience, English and Polish proficiency (minimum B2) 📃 Skills: Python, SQL, AWS, Azure, Java, APIs, DevOps, AI, RAG, MCP, Automation, DataGovernance 🏢 Description: We are looking for an experienced Lead Data Engineer to drive AI and cloud-based data solutions within a global technology organization. In this role, you will lead data initiatives, shape scalable architectures, and collaborate with both technical teams and senior stakeholders to deliver secure and high-performing systems. Key Responsibilities: Act as the main point of contact for data access and system-related topics with senior stakeholders Lead and mentor data engineers, promoting best practices and technical excellence Design, build, and maintain scalable cloud infrastructure and data pipelines Ensure data quality, security, compliance, and governance across the full lifecycle Develop secure and reliable cloud architectures (AWS/Azure) for AI and enterprise applications Implement monitoring, alerting, disaster recovery, and business continuity solutions Take technical ownership of applications within a DevOps environment Drive automation and self-service capabilities Support AI initiatives (e.g., AI Agents, RAG, MCP) with focus on quality and scalability Stay updated on emerging technologies and advise on strategic data direction Requirements: Degree in Computer Science, AI, Data Science, Software Engineering, or equivalent experience 8+ years in software engineering, including 5+ years of backend development with Python (production level) Strong experience designing and scaling complex data systems Hands-on experience with AI technologies and cloud platforms (AWS or Azure) Solid knowledge of Python, SQL (Java is a plus) Experience with APIs, data integration, automation tools, and data governance Strong understanding of data security and compliance standards Proven leadership and mentoring experience Excellent communication skills in English and Polish (min. B2); German is a plus What We Offer: Opportunity to work in a global, international environment Real impact on AI and cloud solutions in a large-scale organization Access to training platforms and professional development programs Hybrid work model with flexible hours (modern office in central Wroclaw) Comprehensive benefits package (medical & dental care, sports card, life insurance, mental health program) Cafeteria benefits platform with monthly points CSR initiatives, integration events, and employee passion clubs

🏢 Summary: Lead Data Engineer role focused on driving AI initiatives and building scalable cloud-based data architectures in a global environment. The position involves technical ownership of data platforms, designing secure and high-performing systems, and leading data engineering efforts in a DevOps setting. The role emphasizes AI integration, cloud infrastructure, and enterprise-grade data governance. 🗂️ Requirements: Degree in Computer Science, AI, Data Science, Software Engineering or equivalent experience, 8+ years in software engineering, 5+ years of backend development with Python in production, Strong experience designing and scaling complex data systems, Hands-on experience with AI technologies, Hands-on experience with AWS or Azure, Strong knowledge of Python and SQL, Experience with APIs and data integration, Experience with automation tools, Knowledge of data governance practices, Understanding of data security and compliance standards, Proven experience leading and mentoring engineers 📃 Skills: Python, SQL, AWS, Azure, Java, AI, RAG, MCP, APIs, DevOps, Automation, Monitoring, Cloud, DataEngineering, DataPipelines, Governance, Security, Compliance, Backend 🏢 Description: We are looking for an experienced Lead Data Engineer to drive AI and cloud-based data solutions within a global technology organization. In this role, you will lead data initiatives, shape scalable architectures, and collaborate with both technical teams and senior stakeholders to deliver secure and high-performing systems. Key Responsibilities: Act as the main point of contact for data access and system-related topics with senior stakeholders Lead and mentor data engineers, promoting best practices and technical excellence Design, build, and maintain scalable cloud infrastructure and data pipelines Ensure data quality, security, compliance, and governance across the full lifecycle Develop secure and reliable cloud architectures (AWS/Azure) for AI and enterprise applications Implement monitoring, alerting, disaster recovery, and business continuity solutions Take technical ownership of applications within a DevOps environment Drive automation and self-service capabilities Support AI initiatives (e.g., AI Agents, RAG, MCP) with focus on quality and scalability Stay updated on emerging technologies and advise on strategic data direction Requirements: Degree in Computer Science, AI, Data Science, Software Engineering, or equivalent experience 8+ years in software engineering, including 5+ years of backend development with Python (production level) Strong experience designing and scaling complex data systems Hands-on experience with AI technologies and cloud platforms (AWS or Azure) Solid knowledge of Python, SQL (Java is a plus) Experience with APIs, data integration, automation tools, and data governance Strong understanding of data security and compliance standards Proven leadership and mentoring experience Excellent communication skills in English and Polish (min. B2); German is a plus What We Offer: Opportunity to work in a global, international environment Real impact on AI and cloud solutions in a large-scale organization Access to training platforms and professional development programs Hybrid work model with flexible hours (modern office in central Wroclaw) Comprehensive benefits package (medical & dental care, sports card, life insurance, mental health program) Cafeteria benefits platform with monthly points CSR initiatives, integration events, and employee passion clubs

🏢 Summary: The offer is for an ML Engineer role focused on building and maintaining production-ready machine learning pipelines in an Azure-based cloud environment. The position involves deploying models, developing ML frameworks, and supporting forecasting and commodities projects using distributed data processing and DevOps practices. The role combines hands-on engineering with collaboration to standardize and scale AI solutions. 🗂️ Requirements: Strong experience in Python and production-level deployments, Experience with Azure cloud services, Experience with PySpark or other Spark-based distributed processing, Experience with Airflow or similar orchestration tools, Experience with Kubernetes ecosystem, Experience with Docker, Experience with Infrastructure as Code, Experience with CI/CD pipelines, Knowledge of MLOps and model monitoring, Experience with Git version control, Advanced English (B2/C1) 📃 Skills: Python, Azure, AzureML, PySpark, Spark, Airflow, Kubernetes, Docker, Terraform, Git, GitHub, GitHubActions, AzureDevOps, pandas, scikit-learn, numpy, MLOps, CI/CD, IaC 🏢 Description: We foster a dynamic culture rooted in strong engineering, a sense of ownership, and transparency, empowering our team. As part of the expanding VirtusLab Group, we offer a compelling environment for those seeking to make a substantial impact in the software industry within a forward-thinking organization. About the role Join our team to drive business innovation with production-ready machine learning pipelines. You will play a key role in deploying and maintaining ML workflows, leveraging Azure for cloud computing and on-prem clusters for ETLs. Collaborating closely with Data Scientists, you will contribute to AI-powered projects while shaping the organization’s technical culture. Python Advanced Cloud (prefered Azure) Advanced IaC Regular GitHub Actions Advanced Pyspark Regular Airflow Regular Experience with observability Nice to have MLOps: Proven ability to productionize models and set up monitoring Nice to have Productionize models and set up monitoring Regular Kubernetes Nice to have English Advanced View available projects Project Forecasting and Commodities Project Scope As an ML Engineer in Forecasting and Commodities, you will be involved in projects that support critical decision making processes, by applying your Python, PySpark, Kubernetes and Cloud (Azure) skills. You will be working in a technically mature ecosystem, implementing new features and covering new use-cases. Part of your responsibilities will be design and implementation of a data science innovation framework, as well making contributions to an overall engineering best practises of the organization. Your key responsibilities would be: Developing libraries, tools, and frameworks that standardise and accelerate development and deployment of machine learning models. Working in an Azure cloud environment, developing model training code in AzureML. Building and maintaining cloud infrastructure with IaC (infrastructure as code). Working with distributed data processing tools such as Spark, to parallelise computation for Machine Learning. Diagnosing and resolving technical issues, ensuring availability of high-quality solutions that can be adapted and reused. Collaborating closely with different engineering and data science teams, providing advice and technical guidance to streamline daily work. Championing best practices in code quality, security, and scalability by leading by example. Taking your own, informed decisions moving a business forward. Tech Stack Python, PySpark, Airflow, Docker, Kubernetes, Azure (incl. Azure ML), pandas, scikit-learn, numpy, GitHub Actions, Azure DevOps, Terraform, Git, GitHub. Project Challenges Building a system that provides accurate and up-to-date business forecasts, by providing a set of tools that can be easily leveraged by data scientists and analysts. Streamlining the process of onboarding, deployment and patching new ML pipelines. Collaborating with cross-functional teams enhancing customer experiences through innovative technologies. Employing DevOps practises for reproducible patterns in multiple business domains. Team 3 engineers What we expect in general: Strong experience in writing high-quality Python code and deploying production-level projects. Experience with orchestration tools such as Airflow. Knowledge of Spark or other distributed data processing tools. Experience with Kubernetes ecosystem as a user. Strong experience in Cloud (preferred Azure) and Docker Ability to work in a team and participate in the design process. Strong communicator. Team player with mentoring ability. Proactive and responsible Strategic thinker with big-picture perspective Good command of English (B2/C1). A hybrid model is preferred (2-3 days per week in the Kraków office); alternatively, candidates must be available for on-site collaboration as required (approx. once a month). Seems like lots of expectations, huh? Don’t worry! You don’t have to meet all the requirements. What matters most is your passion and willingness to develop. Apply and find out! A few perks of being with us Building tech community Flexible hybrid work model Home office reimbursement Language lessons MyBenefit points Private healthcare Training Package Virtusity / in-house training And a lot more!