AI Capability Assessment Engagement - Oslo/Norway

🏢 Summary: Senior Integration Engineer role focused on designing, building, and optimizing scalable integrations between a business-critical SaaS platform and external systems. The assignment combines hands-on development with architectural improvements and standardization of the integration landscape. The consultant will enhance integration practices, frameworks, and cloud-based services in a modern product-driven environment. 🗂️ Requirements: 5-6+ years software development experience, Minimum 2 years in integration-focused role, Strong knowledge of APIs and distributed systems, Experience with event sourcing, Experience building scalable integration services, Experience integrating ERP and/or Payroll systems, Proficiency in at least one OOP language (Java, Kotlin, or C#), Experience with Node.js, React, or TypeScript, Experience with PostgreSQL or MongoDB, Experience with AWS, Azure, or GCP, Experience with integration frameworks (Apache Camel, JBoss Fuse, Azure Logic Apps, or iPaaS), Experience using AI tools in development workflow 📃 Skills: APIs, DistributedSystems, EventSourcing, Integration, ERP, Payroll, Java, Kotlin, C#, OOP, Node.js, React, TypeScript, PostgreSQL, MongoDB, AWS, Azure, GCP, ApacheCamel, JBossFuse, AzureLogicApps, iPaaS, AI 🏢 Description: Location: Remote with occasional visits to the office in Stockholm Start: ASAP/or after the Summer Duration: Initial 6 months About the Assignment We are looking for a highly experienced Integration Engineer to join a product-focused technology organization undergoing continued growth and modernization. The assignment focuses on designing, building, and optimizing integrations between a business-critical SaaS platform and a broad ecosystem of external systems. The consultant will play a key role in both hands-on development and strategic improvements of the client's integration landscape. This is a senior-level role where the consultant is expected to actively contribute to development while also helping elevate engineering practices across the team. Responsibilities Design, develop, and maintain integration solutions between internal and external platforms. Evaluate and assess the existing integration architecture and provide improvement recommendations. Drive standardization, scalability, and maintainability across integration services. Collaborate closely with engineering, product, and business stakeholders. Contribute to architectural decisions and integration best practices. Support the development of reusable integration patterns and frameworks. Mentor team members and help strengthen the team's technical capabilities. Leverage modern AI-assisted development tools and workflows to improve productivity and quality. Required Experience A passionate professional with a solid technical understanding of concepts such as APIs, distributed systems, event sourcing, and integrations, with at least 5-6 years of experience as a developer including at least 2 years in an integration-focused role. Proficiency in building scalable integration services, preferably with systems such as ERP and/or Payroll. Fluency in at least one OOP language such as Java, Kotlin, or C#, with experience across frontend (preferably Node.js, React, or TypeScript) and databases (preferably PostgreSQL or MongoDB). Experience working in cloud environments like AWS, Azure, or Google Cloud. Familiarity with integration frameworks like Apache Camel, JBoss Fuse, Azure Logic Apps, or iPaaS solutions. Track record of leveraging AI tools in your development workflow. Strong attention to detail and the ability to deliver stable, scalable integrations. Strong analytical abilities and excellent communication skills. Nice to have Experience in identity and access management. Experience in the HRIS domain, HR master data, HR systems, payroll data, and employee and organizational data. Experience working with remote teams across multiple countries. Personal Qualities Highly hands-on and delivery-oriented. Comfortable operating both strategically and technically. Strong problem-solving and analytical mindset. Passionate about engineering excellence and continuous improvement. Ability to challenge existing approaches and drive positive change.

🏢 Summary: Senior Platform Engineer consultant role focused on building AI-native platform capabilities, governance, and developer productivity tooling in a cloud-native environment. The position involves developing secure AI agent workflows, improving CI/CD automation, and enabling self-service engineering solutions for internal teams. This hybrid Stockholm-based assignment runs until the end of the year in a fast-moving and exploratory environment. 🗂️ Requirements: 5+ years of software, platform, DevEx, or infrastructure engineering experience, Strong proficiency in Java, Strong proficiency in Spring Boot or Go, Hands-on experience with AWS, Hands-on experience with EKS/Kubernetes, Experience with service deployment and observability, Experience designing and automating CI/CD pipelines, Experience with GitHub Actions, Ability to build self-service developer solutions, Strong communication and presentation skills 📃 Skills: Java, Spring, Go, AWS, EKS, Kubernetes, CI/CD, GitHub, Actions, LLMs, MCP, DevEx 🏢 Description: Role: Senior Platform Engineer - AI, Consultant Start Date: ASAP/August Number of Consultants: 3 Assignment Duration: Until end of the year Location: Hybrid setup from Stockholm Project & Environment Overview We are building the foundations for an AI-native software development lifecycle , where engineering teams can safely delegate meaningful work to AI agents within clear governance, compliance, and auditability boundaries. The team owns key parts of the internal developer experience, including AI platform capabilities, developer productivity tooling, platform compliance, and self-service workflows for engineering teams. This is a fast-moving and exploratory environment. Priorities and technical direction may evolve as we learn, validate, and ship. We are looking for a senior engineer who is highly self-driven, comfortable with ambiguity, and able to turn unclear problems into practical platform capabilities. Profile & Requirements Required Senior platform engineering experience: 5+ years of software, platform, DevEx, or infrastructure engineering experience. Strong backend engineering skills: High proficiency in Java/Spring Boot or Go . Cloud-native platform experience: Hands-on experience with AWS, EKS/Kubernetes , service deployment, observability, and production-grade infrastructure. CI/CD expertise: Strong experience designing and automating pipelines, preferably with GitHub Actions . Developer experience mindset: Ability to identify engineering friction and build practical self-service solutions that improve speed, quality, and reliability. Strong communication skills: Comfortable presenting technical solutions, running demos, and driving adoption across engineering teams. Highly Valuable Hands-on experience with LLMs , AI-assisted development, or agentic engineering workflows. Experience building or integrating multi-agent orchestration systems . Experience with Model Context Protocol (MCP) servers, tools, or similar integration patterns. Experience working in regulated environments with auditability, compliance, security, and cost-control requirements. Responsibilities & Deliverables You will build and deliver functional platform capabilities directly used by internal engineering teams. AI Agent Platform: Build secure, production-grade platform capabilities that allow teams to delegate engineering tasks to AI agents in a controlled and observable way. Agent Governance & Auditability: Implement traceability, approval flows, audit logs, cost attribution, token/API spend tracking, and operational guardrails. AI-Native CI/CD Automation: Improve GitHub Actions pipelines and integrate compliance and quality checks suitable for both human-written and agent-generated code. Developer Experience Improvements: Work closely with product engineering teams to identify daily blockers and turn them into self-service tools, templates, workflows, or platform features. Internal Adoption: Lead demos, workshops, and technical walkthroughs to help engineers understand and adopt new AI platform capabilities.

🏢 Summary: Role responsible for leading AI strategy and implementation for public health and social insurance clients, covering the full lifecycle from business strategy to enterprise integration. The position combines AI governance, architecture design, and regulatory compliance to deliver production-ready, value-driven AI solutions. Work is hybrid or remote with international DACH clients. 🗂️ Requirements: Minimum 5 years of experience implementing and scaling AI solutions in enterprise environments, Several years of consulting experience in business or IT, Experience in developing AI strategies and AI governance projects, Experience in designing AI, data, and cloud architectures, Knowledge of AI Act and GDPR regulations and practical application, Understanding of Sovereign AI concepts and on-premise or EU hosting models, Higher education degree in Computer Science, AI, or related field, German language proficiency at C1 level, English language proficiency at B2 level, Willingness to travel for projects 📃 Skills: AI, Governance, Architecture, Cloud, Data, Enterprise, GDPR, AIAct, BSIGrundschutz, SovereignAI, OnPremise, HumanInTheLoop, Consulting, German, English 🏢 Description: Zatrudnienie: umowa o pracę, pełen etat Tryb pracy: hybrydowo / zdalnie Język niemiecki min. C1 oraz angielski min. B2 Dlaczego my? Realny wpływ na rozwój AI i strategiczne projekty dla dużych organizacji Duża samodzielność i przestrzeń na własne pomysły Luźna, partnerska atmosfera pracy bez zbędnej korporacyjności Elastyczny czas pracy i zaufanie do tego, jak działasz Międzynarodowe środowisko i współpraca z klientami z rynku DACH Projekty, które naprawdę trafiają na produkcję i mają sens biznesowy Możliwość łączenia strategii, technologii i AI w jednej roli Twoja rola w zespole Odpowiadasz za obszar AI –  zarówno od strony strategicznej, jak i operacyjnej. Rozwijasz i wdrażasz programy oraz inicjatywy AI dla klientów z sektora publicznych ubezpieczeń zdrowotnych i społecznych – od strategii i modeli biznesowych po integrację rozwiązań z architekturą enterprise. Przekładasz możliwości AI na realną wartość biznesową –  poprawę jakości usług, większą efektywność procesów, modernizację IT oraz lepsze doświadczenia klientów. Doradzasz klientom w odpowiedzialnym wykorzystaniu AI, pomagając im poruszać się w ramach obowiązujących regulacji i wymagań dotyczących zgodności (m.in. AI Act, RODO, ochrona danych, BSI Grundschutz). Współtworzysz i ukierunkowujesz architekturę rozwiązań AI , zapewniając ich gotowość do pracy w środowiskach produkcyjnych oraz spójność z architekturą IT klienta. Twoje kompetencje Masz kilka lat doświadczenia w doradztwie (consulting biznesowy lub IT), najlepiej w obszarze ochrony zdrowia, sektora publicznego lub ubezpieczeń społecznych. Od co najmniej 5 lat pracujesz z rozwiązaniami AI w środowiskach enterprise –  brałeś/aś aktywny udział w ich wdrażaniu, rozwoju i skalowaniu w realnych projektach. Masz za sobą konkretne sukcesy związane z rozwojem klientów : budową oferty lub portfolio AI oraz wsparciem działań sprzedażowych w tym obszarze. Masz doświadczenie w tworzeniu strategii AI oraz w prowadzeniu projektów z obszaru AI governance i transformacji organizacji w kierunku data– driven. Posiadasz wykształcenie wyższe w obszarze informatyki (w tym informatyki biznesowej), AI lub kierunków pokrewnych Dobrze rozumiesz koncepcje Sovereign AI , takie jak suwerenność danych, transparentność i kontrolowalność modeli, hosting on– premise lub w UE oraz podejście Human– in– the– Loop. Posiadasz znajomość regulacji (AI Act, RODO) i ich zastosowania w praktyce Projektowanie architektury rozwiązań (AI, data, cloud) Bardzo dobrze posługujesz się językiem niemieckim (min. C1) oraz dobrze językiem angielskim (min. B2) i jesteś gotowy/a do podróży projektowych. Mile widziane: Doświadczenie w sektorze publicznym, w szczególności w sektorze ubezpieczeń zdrowotnych lub społecznych Znajomość BSI Grundschutz lub podobnych standardów bezpieczeństwa Brzmi jak kolejny krok w Twojej karierze? Daj nam się poznać –  czekamy na Twoją aplikację!

🏢 Summary: Short-term contract to design and implement automated test frameworks for a cloud-native, AI-powered sales support platform. The role focuses on C# test automation across backend and frontend applications, including API, integration, regression, and end-to-end testing in Azure. You will enhance CI/CD pipelines and ensure quality of AI-driven solutions integrated with CRM and data warehouse systems. 🗂️ Requirements: Strong commercial experience in C# test automation, Experience testing .NET applications, Experience with UI test automation, Experience with API test automation, Knowledge of test automation frameworks, Experience with CICD pipelines, Experience working in Microsoft Azure cloud, Understanding of SDLC and testing best practices, Ability to design API, integration, regression and E2E test scenarios 📃 Skills: C#, .NET, Angular, Azure, AzureOpenAI, AzureAISearch, API, CICD, Playwright, CRM, DWH, E2E, AI 🏢 Description: Project description: We are building an intelligent platform supporting our customers' sales teams through access to data, product knowledge, and AI-driven recommendations. Project starts on 1.07.2026 and ends on 31.08.2026 (with possibility to extend). Main responsibilities: Design, develop, and maintain automated test frameworks in C# Build and execute automated tests for backend and frontend applications Create API, integration, regression, and end-to-end test scenarios Support quality assurance processes across cloud-based solutions hosted in Azure Collaborate closely with developers, analysts, and business stakeholders Implement AI-assisted testing approaches and quality engineering practices Participate in CI/CD pipeline improvements and test automation strategy Validate integrations with CRM systems and data warehouse platforms Ensure high quality, reliability, and performance of AI-powered solutions Tech stack: Programming Language: C# Frontend: Angular Backend: .NET Cloud: Microsoft Azure AI Services: Azure OpenAI, Azure AI Search Testing: Automated testing in C#, AI-assisted testing Architecture: Cloud-native, integrations with CRM and DWH systems Requirements: Strong commercial experience in test automation using C# Experience testing .NET-based applications Experience with UI and API test automation Familiarity with test automation frameworks and CI/CD processes Experience working in cloud environments, preferably Microsoft Azure Understanding of software testing best practices and SDLC Ability to analyze requirements and prepare test scenarios Strong communication and collaboration skills Ability to work in a Polish-speaking environment Nice to have: Playwright

🏢 Summary: End-to-end IT Project Lead role combining technical leadership with hands-on backend and frontend development in AI, robotics, and automation projects. The position involves coordinating a small AI team, designing software/cloud/AI architectures, and delivering solutions aligned with client and business goals. Full responsibility for successful project delivery within scope, budget, and timeline. 🗂️ Requirements: Practical experience leading end-to-end IT development projects, Experience managing small technical teams, Ability to program backend and/or frontend, Experience with robotics, automation, AI or ML systems, Experience designing software, cloud or AI architectures, Experience in direct client collaboration and product solution building, Ability to actively support development through code review and technical guidance 📃 Skills: Python, JavaScript, Backend, Frontend, AI, ML, Cloud, Robotics, Automation, SaaS, Git, Agile 🏢 Description: 💼 Twoje zadania: prowadzenie projektów IT od koncepcji po wdrożenie (end-to-end), koordynacja prac zespołu developerskiego AI Specialistów, by projekty były realizowane efektywnie, szybko i zgodnie z oczekiwaniami biznesowymi oraz klienta, aktywne uczestnictwo w developmentcie – programowanie backendu i frontend'u, wsparcie techniczne, code review, projektowanie i nadzorowanie architektury rozwiązań (software / cloud / AI), tworzenie wymagań projektowych, harmonogramów, roadmap i backlogów, kontakt z klientami w celu precyzyjnego zrozumienia ich potrzeb i przekładania tego na rozwiązania techniczne, monitorowanie postępu prac, identyfikacja ryzyk i zapewnienie realizacji zgodnie z budżetem i terminem, bezpośrednia odpowiedzialność za „dowożenie projektów”, a nie tylko zarządzanie dokumentacją. 🎯 Wymagania: praktyczne doświadczenie w prowadzeniu (end-to-end) projektów rozwojowych związanych z IT, doświadczenie w zarządzaniu niewielkimi zespołami, umiejętność programowania backend i/lub frontend, doświadczenie w pracy z rozwiązaniami robotycznymi, automatyzacją, AI lub systemami opartymi na ML, zdolność technicznego prowadzenia projektów i aktywnego wspierania zespołu, doświadczenie w kontakcie z klientem oraz budowaniu rozwiązań produktowych, nastawienie na praktykę i realizację – wykonawca-prowadzący, a nie teoretyczny koordynator, preferowane doświadczenie ze środowisk elastycznych, w którym liczy się skuteczność i praktyka, a nie korporacyjne procedury, samodzielność, inicjatywa i wysokie tempo pracy. 🎁 To oferujemy : 🚀Wartościowe, innowacyjne projekty (robotyka, AI, SaaS, automatyzacja) 🚀 Szkolenia i wsparcie liderów technologicznych 💻 Elastyczny czas pracy – start między 7:00 a 10:00 💻 Dwa krótsze piątki w miesiącu ☺️ Wyjścia integracyjne, pikniki rodzinne, relax room, a także własna sala kinowa 🎬 ❤️ Medicover, Medicover Sport, ubezpieczenia Allianz/PZU 🛍️ Zniżki u partnerów biznesowych

🏢 Summary: Backend engineering role focused on building scalable Python services and APIs for an AI platform used by enterprise customers. The position involves developing production backend systems, integrating AI components, and improving reliability in a collaborative engineering environment. Offers modern AI tooling, cloud-native development exposure, and growth opportunities within an AI-focused product team. 🗂️ Requirements: 2–5 years of backend application development experience, Python, REST APIs, Backend services, SQL, PostgreSQL, Asynchronous programming, Background job processing, AWS, Azure, GCP, Testing, Version control, AI development tools, English B2 📃 Skills: Python, FastAPI, Django, PostgreSQL, SQL, AWS, Azure, GCP, Docker, Redis, RabbitMQ, Kafka, TypeScript, REST, Git, CI/CD, ChatGPT, Copilot, Codex, Claude 🏢 Description: About Us Many companies want to use AI agents, but these agents often struggle with real business tasks. We solve this problem by building a platform that helps AI understand business rules, workflows, and processes. This enables AI to make better decisions and provide accurate, reliable, and trustworthy results. Our technology is used by leading companies across multiple industries to automate up to 85% of customer cases, reduce handling time by 20–25%, and complete tasks that previously took hours in just seconds. We work with leading technology partners and have been recognized for our innovative approach. Our mission is to help people everywhere get better answers through AI. About the Role We are looking for a Mid Backend Engineer to help build scalable backend services that power our AI platform. You'll work closely with experienced backend engineers, frontend developers, product managers, and platform engineers to develop new features, improve existing systems, and deliver reliable production software. This is a great opportunity to work on modern AI infrastructure while growing your technical skills in a collaborative engineering environment. Responsibilities - Build and maintain backend services, APIs, and background processing systems. - Develop scalable application logic using Python. - Collaborate with product managers and engineers to deliver new product features. - Integrate backend services with databases, external APIs, and AI components. - Monitor, troubleshoot, and improve production services. - Write clean, maintainable, and well-tested code. - Participate in code reviews and engineering discussions. - Improve development workflows using AI tools and automation. - Continuously learn from production feedback and contribute to improving system reliability and performance. Requirements - 2–5 years of experience building production backend applications. - Good knowledge of Python. - Experience building REST APIs and backend services. - Understanding of relational databases (PostgreSQL or similar) and SQL. - Familiarity with asynchronous programming and background job processing. - Basic understanding of cloud platforms such as AWS, Azure, or GCP. - Understanding of software engineering best practices, testing, and version control. - Good communication skills and willingness to collaborate across engineering and product teams. - Experience using AI development tools such as GitHub Copilot, Claude Code, ChatGPT, or similar. - English at B2 level or higher. Nice to Have - Experience with FastAPI, Django, or similar Python frameworks. - Experience working with Docker and CI/CD pipelines. - Familiarity with Redis, RabbitMQ, Kafka, or similar messaging technologies. - Experience building AI-powered applications or integrating LLM APIs. - Basic knowledge of TypeScript or frontend development. - Interest in distributed systems and cloud-native architectures. What We Offer - 20,000–24,000 PLN B2B (depending on experience). - Company stock options. - MacBook Pro. - Modern technology stack with opportunities to contribute to open-source projects. - Access to advanced AI development tools, including GitHub Copilot, Claude Code, OpenAI Codex, TypingMind, and MCP Servers. - The opportunity to work on production AI systems used by enterprise customers. - A collaborative engineering culture focused on learning, ownership, and continuous improvement. - Career growth alongside experienced engineers in a fast-growing AI company. Our Culture and Values - Quality - We build reliable software with attention to detail and long-term maintainability. - Momentum - We move quickly, learn continuously, and improve through iteration. - Accountability - We take responsibility for our work and communicate openly. - Hard Work - We solve ambitious problems together and support each other along the way. - Learning Agility - We stay curious, embrace feedback, and continuously develop our skills. - Adapt and Thrive - We welcome change and see challenges as opportunities to improve. - Win Together - We collaborate, share knowledge, and succeed as one team.

🏢 Summary: Opportunity for a Lead Full Stack Engineer to provide technical leadership while building scalable, high‑performance applications using the Microsoft stack and modern cloud architecture. The role combines hands-on full stack development with active adoption of AI-assisted engineering practices across the SDLC. You will drive engineering excellence, mentor teams, and integrate AI capabilities into products and internal tools. 🗂️ Requirements: 7+ years experience with Microsoft stack (.NET, C#, SQL Server, T-SQL), Strong experience with .NET Core and Angular, Proficiency in JavaScript, HTML, CSS, Experience with Git, Experience designing scalable and maintainable systems, Knowledge of SOLID principles and design patterns, Experience with microservices architecture, Experience with Azure or other cloud platforms, Experience working in Scrum environments, Hands-on use of GenAI tools (Copilot, ChatGPT, Cursor) in SDLC, Experience integrating LLM APIs or AI capabilities into applications, Understanding of AI risks, testing, reviews, and compliance guardrails 📃 Skills: .NET, C#, SQL, T-SQL, .NETCore, Angular, JavaScript, HTML, CSS, Git, Azure, Microservices, SOLID, GenAI, LLM, Copilot, ChatGPT, Cursor 🏢 Description: About the Client: The Client provides comprehensive operational support and a range of expert services to the world’s leading insurers, brokers, fleet managers and automotive manufacturers. 3,300 employees across ten countries deliver exceptional standards on a large scale for over 1,200 clients. We help the global insurance market to handle millions of claims each year in the most cost-effective and efficient ways possible. The Client is embarking on an exciting and challenging transformation program and our software solutions are a driving force behind this strategy using cloud computing and leading-edge design patterns. Short Role Description: This is a great opportunity for an experienced Lead Full Stack Engineer to join our Software Development team as part of one of our established Scrum teams. Each agile team includes technical leadership, development, architecture, QA, product, and project management roles. We are looking for a strong engineering leader who combines deep hands-on development expertise with an AI-first mindset. This role requires an AI Champion — someone who actively applies AI tools across the Software Development Life Cycle and helps elevate engineering productivity, quality, and delivery standards through practical and responsible AI adoption. You will not only build high-performance applications, including high-traffic customer-facing platforms, but also act as a multiplier for engineering excellence by introducing modern practices, tools, and ways of working. Responsibilities: Provide technical leadership, mentorship, and hands-on support to engineers within the team. Design, develop, test, document, and maintain scalable backend and frontend solutions. Deliver high-quality, reusable, and maintainable code aligned with best engineering practices. Actively apply AI-assisted development approaches across design, coding, testing, and debugging. Drive improvements in engineering efficiency, quality, and delivery through practical AI usage. Produce clear and structured technical documentation. Provide realistic estimates and manage delivery timelines effectively. Participate in all Scrum ceremonies and contribute to team performance and continuous improvement. Coach teams on effective usage of GenAI tools and promote AI-first engineering culture. Requirements: 7+ years of experience with Microsoft development stack (.NET / C# / SQL Server / T-SQL). Strong experience with .NET Core, Angular, JavaScript, HTML, CSS, Git. Hands-on experience designing scalable and maintainable systems. Solid understanding of SOLID principles, design patterns, and microservices architecture. Experience working with cloud platforms (Azure preferred). Strong experience working in Scrum environments across different team setups. AI & Engineering Excellence Requirements: Proven hands-on experience using GenAI tools (e.g., Copilot, ChatGPT, Cursor, etc.) to improve development speed, code quality, testing, debugging, and documentation. Practical experience integrating LLM APIs or AI capabilities into applications or internal tools. Understanding of AI limitations, risks, and guardrails (testing, reviews, policies, compliance). Ability to introduce new tools and practices, influence teams, and scale adoption across engineering. Nice to Have: Experience building internal developer productivity tools or engineering automation solutions. Exposure to performance, scalability, and security requirements for large-scale platforms. Personal Attributes: Self-organising problem solver. Able to think outside the box (open thinking). Strong ability to work effectively in a team. Collaborating, motivating and energizing others (Team player). Encourage and drive others to deliver high-quality, cutting-edge software. You will have attention to detail and have a proactive ethos. Always looking for continuous improvement. Excellent verbal and written communication skills, in English. We offer*: Flexible working format - remote, office-based or flexible A competitive salary and good compensation package Personalized career growth Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more) Active tech communities with regular knowledge sharing Education reimbursement Memorable anniversary presents Corporate events and team buildings Other location-specific benefits

🏢 Summary: Full-time B2B contract for a Software Architect (Backend & APIs) to design and build a greenfield, scalable analytics and research platform in the financial sector. The role focuses on defining cloud-native backend architecture, APIs, and integration standards to support secure content management and distribution at scale. The project runs from July 2026 to February 2027 and targets institutional clients with future retail expansion. 🗂️ Requirements: 8+ years of professional software engineering experience, Strong experience designing backend architectures and APIs, Hands-on experience with production-grade backend systems, Experience with scalable distributed and cloud-native systems, Ability to define API contracts, versioning, and integration standards, Experience with authentication and authorization mechanisms, Experience leading architectural decisions and technical discussions, Experience across full software development lifecycle, Fluent English (C1 minimum) 📃 Skills: Java, Spring, REST, OpenAPI, PostgreSQL, Docker, Kubernetes, GKE, GCP, APIGateway, ServiceMesh, OIDC, SSO, JWT, Observability, Monitoring, Microservices, DDD, EventDriven, CloudNative, DistributedSystems, AI, LLM 🏢 Description: 📍 Remote 🕒 Full-time 📄 B2B 📅 Project duration: July 2026 – February 2027 About the project We are looking for an experienced Software Architect (Backend & APIs) to join an ambitious greenfield initiative in the financial sector. The project focuses on designing and building from scratch a modern, scalable analytics and research platform that will support the complete lifecycle of premium financial content - from creation and management to publication, distribution, and consumption analytics. The platform will initially serve institutional clients, with a planned expansion toward retail users in later phases. This is a high-impact role for someone who enjoys solving complex architectural challenges, designing systems for scale, and shaping technical direction from the ground up. You will help create a platform that: streamlines and automates financial research workflows structures and manages large volumes of analytical content enables secure and scalable content distribution provides advanced insight into user engagement and content consumption supports future scalability across multiple client segments Your responsibilities Design and evolve scalable backend and API architectures for cloud-native and hybrid environments Define system architecture with strong focus on scalability, maintainability, resilience, and security Design public and internal APIs, including versioning strategy, contracts, backward compatibility, and integration standards Collaborate with sales and delivery teams during technical discovery, estimation, and solution planning Work closely with engineering teams to solve complex backend challenges and improve technical standards Drive architectural decisions and clearly communicate technical trade-offs Collaborate directly with clients and domain experts to clarify requirements and translate business needs into technical solutions Create and maintain architecture documentation, technical proposals, and design decisions Support engineering excellence through improvements in tooling, development practices, and platform standards Explore and apply AI-powered engineering tools to enhance productivity and system capabilities Tech environment You will work with modern backend and cloud technologies, including: Java 21, Spring Boot REST APIs / OpenAPI PostgreSQL Docker, Kubernetes, GKE Google Cloud Platform API Gateway / service mesh solutions Event-driven integrations Authentication & authorization standards (OIDC / SSO / JWT) Observability and monitoring tooling We value strong understanding of modern architectural approaches such as modular systems, domain-oriented design, contract-first APIs, event-driven patterns, and cloud-native distributed systems. Must have 8+ years of professional software engineering experience Strong hands-on experience designing backend architectures and APIs Proven ability to lead architectural discussions and make pragmatic technical decisions Practical experience building and reviewing real production-grade backend systems Strong experience working directly with clients and external stakeholders Excellent communication skills and ability to explain complex technical concepts clearly Experience with scalable distributed systems and cloud-native architectures Transparent, proactive, and solution-oriented mindset Experience across the full software lifecycle - from prototyping to strategic architectural direction Strong command of written and spoken English ( C1 minimum ) Nice to have Experience in the financial sector or highly regulated environments Experience with event-driven architectures and asynchronous integrations Knowledge of modern identity and access management solutions Familiarity with AI-powered development tools, LLM-based workflows, or AI-assisted engineering practices We value your trust in providing us your data, thus we are striving to use commercially acceptable means of protecting it. Below you will find the necessary information about the data we collect and process when you send us your CV. The controller of your personal data is Miquido Spółka z ograniczoną odpowiedzialnością sp. k. with its seat in Krakow, Zabłocie 43a, 30-701 Kraków, Poland (“Miquido”, “We”, “Our” or “Us”).

🏢 Summary: B2B role in the banking sector focused on building and modernizing a cloud-native AI platform (DCP) within the Credit and Lending domain. The project centers on developing Generative AI and agent-based solutions on GCP/Azure, integrating new credit applications, and automating decision-making processes. It is a long-term, hybrid engagement with strong emphasis on cloud, AI, and system integration. 🗂️ Requirements: Strong experience with GCP and/or Azure, Experience building AI-enabled applications, Hands-on experience with Generative AI technologies, Knowledge of RAG architectures, Experience with agent-based AI frameworks, Strong API development and integration skills, Experience in system architecture design, Experience with test case development, Experience with AI-assisted coding tools 📃 Skills: GCP, Azure, GenerativeAI, RAG, AgenticAI, MicrosoftAgentFramework, GoogleADK, APIs, REST, Integration, Architecture, DataEngineering, PowerApps, Cloud, AI 🏢 Description: PROJECT INFORMATION: Industry: banking Remote work: hybrid - 5 or 6 days/ month on-site from Kraków Project language: English Business trips: n/a Project length: open-end contract (cooperation for a few years at least) Start: ASAP / 1 month notice Assignment type: B2B Introduction & Summary The initiative sits within the Credit and Lending domain and focuses on the rollout of a new platform called DCP . This platform will serve as the central foundation for future AI-driven initiatives , with all upcoming AI use cases expected to be built and deployed through it. The programme aims to modernise the existing architecture , replacing legacy systems with a more scalable, cloud-native environment. A key objective is to automate credit and lending decision-making processes , improving efficiency, accuracy, and speed across the organisation. In parallel, the team is also working on new credit applications and integrating them into the broader ecosystem of services and platforms. Main Responsibilities The programme is heavily centred around cloud and AI-driven development , particularly within GCP and Azure environments . The team is looking for engineers who can contribute to building modern AI-powered systems, including: The successful candidate will hold crucial responsibilities in advancing the platform's capabilities: Development of Generative AI solutions , including RAG (Retrieval-Augmented Generation) frameworks Agentic AI development , using frameworks such as Microsoft Agent Framework or Google ADK Prompt engineering and AI-assisted development practices API development and system integration Full-stack development capabilities Data engineering supporting continuous (“perpetual”) data pipelines and AI workflows Power Apps development where relevant to business workflows Key Requirements Strong cloud development experience (GCP and/or Azure) Experience building AI-enabled applications and working with Generative AI technologies Knowledge of RAG architectures and agent-based AI frameworks Strong API development and integration skills Experience with system architecture design and test case development Familiarity with AI-assisted coding practices , using AI tools to accelerate development and improve productivity Nice to Have Additional skills that would enhance the candidate profile include: Expertise in AI development methodologies Experience in cloud engineering environments Ability to integrate complex systems effectively Other Details This role is integral to the modernization of credit and lending systems within a rapidly evolving financial landscape. Candidates can expect a collaborative remote setup, contributing significantly to the long-term strategy of AI implementation within the organization.

🏢 Summary: Opportunity for experienced Fullstack Consultants to join a verified freelance network supporting diverse projects such as greenfield development, MVPs, modernization, and consulting engagements. Collaboration is flexible (short-term, part-time, full-time) and project-based, depending on business needs and availability. Consultants are expected to independently deliver end-to-end solutions and support clients in outcome-driven initiatives. 🗂️ Requirements: Experience delivering end-to-end backend and frontend solutions, Ability to design software architecture and drive implementation to production, Experience estimating scope, timelines and engagement level, Ability to independently structure implementation work, Experience collaborating with technical and business stakeholders, Focus on software quality and maintainability, Active practical use of AI tools 📃 Skills: Backend, Frontend, Architecture, Estimation, AI, Prototyping, MVP, Consulting, Modernization, Delivery 🏢 Description: We are building a verified network of experienced freelancers and consultants who can support our clients in flexible cooperation models: from short-term delivery acceleration and MVP initiatives to outcome-based consulting engagements. This is not a traditional recruitment process. We are looking for experienced Fullstack Consultants interested in becoming part of network and open to future collaboration opportunities adjusted to project needs, availability and specialization fit. Remuneration depends on the type of assignment. For hourly rates, our range is 150-190 PLN net + VAT. What kind of projects may you support? Depending on business demand and your availability, potential engagements may include: greenfield product development, feature acceleration initiatives, modernization projects, MVP and rapid prototyping work, delivery reinforcement for existing engineering teams, consulting and outcome-based delivery projects, short-term high-impact initiatives. Examples of what you could do 👇 You should be capable of: independently delivering end-to-end technical solutions, collaborating directly with technical and business stakeholders, structuring implementation scope and estimating effort, balancing engineering quality with pragmatic delivery decisions. What would we expect? experience estimating implementation scope, delivery timelines and required level of engagement based on business needs, strong experience building end-to-end solutions across backend and frontend (from architecture design to implementation and production readiness), focus on software quality, maintainability and real business impact, active and pragmatic use of AI tools. No specific tech stack? That's intentional. We work with companies facing different challenges, so we're always open to professionals with unique combinations of skills and experience. If you can create value through technology, we'd love to hear from you. Important! joining the network does not guarantee immediate project allocation, potential engagements may vary in duration, scope and workload, part-time, full-time and short-term cooperation models are possible. By joining the network, you may gain: access to international projects and consulting initiatives, including collaborations with Scandinavian clients, opportunities adjusted to your availability, preferred engagement model and technical strengths, long-term relationship instead of one-off transactional recruiting processes. We want to build a high-quality network of experienced consultants we know, trust and can match with the right opportunities over time. Sounds like a fit? Let’s talk! 🚀