{"data":{"id":199100,"slug":"full-stack-engineer-3","type":"job","title":"Full-Stack Engineer","description":"About the Role\nWe are looking for an experienced Senior Full-Stack Engineer to join our engineering team and build modern, scalable, AI-enabled digital products.\nYou will work across the full application stack, from backend services and APIs to modern web interfaces, cloud infrastructure, data integrations, and AI-powered features.\nKey Responsibilities\nDesign, develop, and maintain scalable full-stack applications and enterprise platforms.\nBuild backend services and APIs using technologies such as Java \/ Spring Boot and Python \/ FastAPI.\nDevelop modern web applications using React, TypeScript, and Next.js.\nDesign and implement REST, GraphQL, webhook, and third-party API integrations.\nBuild and maintain distributed systems based on microservices and event-driven architectures.\nDesign reliable data models and optimize application and database performance.\nDevelop cloud-native applications and services running on public cloud platforms.\nWork with relational, NoSQL, caching, and analytical databases.\nImplement asynchronous processing, messaging, retry mechanisms, idempotency, and failure handling.\nBuild automated CI\/CD pipelines and participate in deployment and infrastructure automation.\nImprove application observability through logging, metrics, tracing, alerting, and operational dashboards.\nTroubleshoot complex application, integration, and production issues across frontend, backend, and cloud environments.\nParticipate in architecture discussions, technical design, code reviews, and engineering best practices.\nTake ownership of solutions from requirement analysis through development, testing, deployment, and production support.\n\nAI & Intelligent Application Development\nAs AI becomes increasingly integrated into modern software products, this role also requires practical experience using AI technologies in application development.\nYou will:\nDesign and integrate LLM-powered features into production applications.\nIntegrate APIs from providers such as OpenAI, Anthropic Claude, Google Gemini, or equivalent platforms.\nBuild applications capable of working with multiple AI model providers.\nDevelop AI-enabled workflows for tasks such as content processing, translation, summarization, information extraction, classification, and automation.\nImplement structured LLM outputs and integrate AI results into backend business logic.\nWork with model routing, fallback strategies, usage monitoring, and AI API cost management.\nBuild internal engineering tools using AI-assisted development technologies.\nExplore and implement MCP-based integrations, AI agents, tool calling, and AI-assisted workflows where appropriate.\nEvaluate AI output quality, reliability, latency, and cost before introducing AI functionality into production systems.\nApply appropriate security, privacy, and data handling principles when integrating external AI services.\n\nRequired Qualifications\nSeveral years of professional experience as a Full-Stack Engineer, Software Engineer, or similar role.\nStrong backend development experience with Java and Spring Boot, Python, or comparable backend technologies.\nStrong frontend development experience with React and TypeScript.\nExperience designing and developing REST APIs and integrating third-party systems.\nSolid understanding of microservices and distributed systems.\nExperience with relational databases such as PostgreSQL, MySQL, or Oracle.\nExperience with NoSQL or caching technologies such as MongoDB and Redis.\nExperience working with Docker and cloud-based application deployment.\nExperience with at least one major cloud platform, preferably GCP, AWS, or Azure.\nGood understanding of software architecture, scalability, performance optimization, and system reliability.\nExperience with CI\/CD and modern software development workflows.\nStrong troubleshooting and problem-solving capabilities.\nComfortable taking ownership across frontend, backend, integration, and deployment.\nProfessional working proficiency in English.\n\nAI Requirements\nHands-on experience integrating LLMs or generative AI APIs into applications.\nExperience using at least one major LLM platform such as OpenAI, Claude, Gemini, or equivalent.\nUnderstanding of prompt design, structured outputs, tool\/function calling, and AI API integration patterns.\nExperience using AI coding tools such as Claude Code, Codex, GitHub Copilot, Cursor, or similar tools in professional software development.\nAbility to identify where AI provides business value and where conventional software logic is more appropriate.\nUnderstanding of key production AI considerations including:\nmodel quality\nhallucination and reliability\nlatency\ntoken usage and cost\nprivacy and data security\n\nPreferred Qualifications\nExperience in one or several of the following areas is considered an advantage:\nPython FastAPI.\nReact 18\/19, Next.js, Vite, Tailwind CSS, or modern frontend frameworks.\nGraphQL.\nGCP technologies such as Cloud Run, Pub\/Sub, Cloud SQL, BigQuery, and GCS.\nEvent-driven architectures and message-based processing.\nTerraform or other Infrastructure as Code technologies.\nRedis, MongoDB, BigQuery, or other modern data platforms.\nE-commerce, IoT, telecom, or enterprise platform development.\nHigh-volume or high-concurrency distributed systems.\nAI model gateways or abstraction layers such as LiteLLM.\nModel Context Protocol (MCP).\nRetrieval-Augmented Generation (RAG).\nAI Agents and tool-calling architectures.\nAI observability, model evaluation, cost tracking, or multi-model routing.\nBuilding internal developer tools or engineering automation using AI.\n\nPersonal Qualities\nWe believe you are:\nProduct-minded and capable of understanding both technical and business requirements.\nComfortable working across the entire software stack.\nCurious about AI and emerging software technologies.\nPragmatic when deciding between AI-based solutions and traditional software engineering.\nProactive and comfortable taking ownership of complex technical problems.\nStructured and analytical when troubleshooting distributed systems.\nAble to work independently while collaborating effectively with developers, product owners, and other stakeholders.\n\nTechnology Environment\nDepending on the project, the technology environment may include:\nJava \u00b7 Spring Boot \u00b7 Python \u00b7 FastAPI \u00b7 React \u00b7 TypeScript \u00b7 Next.js \u00b7 REST \u00b7 GraphQL \u00b7 PostgreSQL \u00b7 MongoDB \u00b7 Redis \u00b7 BigQuery \u00b7 Docker \u00b7 GCP \u00b7 AWS \u00b7 Azure \u00b7 Terraform \u00b7 Pub\/Sub \u00b7 CI\/CD \u00b7 OpenAI \u00b7 Claude \u00b7 Gemini \u00b7 LiteLLM \u00b7 MCP \u00b7 RAG \u00b7 AI Agents\nLocation\nGothenburg\nEmployment\nFull-time\nOpen for everyone\nWe focus on your qualifications, not your other circumstances. We are open to adapting the role or workplace to meet your needs.","language":"sv","is_translated":true,"title_original":"Full-stack Engineer","description_original":"About the Role\nWe are looking for an experienced Senior Full-Stack Engineer to join our engineering team and build modern, scalable, AI-enabled digital products.\nYou will work across the full application stack, from backend services and APIs to modern web interfaces, cloud infrastructure, data integrations, and AI-powered features.\nKey Responsibilities\nDesign, develop, and maintain scalable full-stack applications and enterprise platforms.\nBuild backend services and APIs using technologies such as Java \/ Spring Boot and Python \/ FastAPI.\nDevelop modern web applications using React, TypeScript, and Next.js.\nDesign and implement REST, GraphQL, webhook, and third-party API integrations.\nBuild and maintain distributed systems based on microservices and event-driven architectures.\nDesign reliable data models and optimize application and database performance.\nDevelop cloud-native applications and services running on public cloud platforms.\nWork with relational, NoSQL, caching, and analytical databases.\nImplement asynchronous processing, messaging, retry mechanisms, idempotency, and failure handling.\nBuild automated CI\/CD pipelines and participate in deployment and infrastructure automation.\nImprove application observability through logging, metrics, tracing, alerting, and operational dashboards.\nTroubleshoot complex application, integration, and production issues across frontend, backend, and cloud environments.\nParticipate in architecture discussions, technical design, code reviews, and engineering best practices.\nTake ownership of solutions from requirement analysis through development, testing, deployment, and production support.\n\nAI & Intelligent Application Development\nAs AI becomes increasingly integrated into modern software products, this role also requires practical experience using AI technologies in application development.\nYou will:\nDesign and integrate LLM-powered features into production applications.\nIntegrate APIs from providers such as OpenAI, Anthropic Claude, Google Gemini, or equivalent platforms.\nBuild applications capable of working with multiple AI model providers.\nDevelop AI-enabled workflows for tasks such as content processing, translation, summarization, information extraction, classification, and automation.\nImplement structured LLM outputs and integrate AI results into backend business logic.\nWork with model routing, fallback strategies, usage monitoring, and AI API cost management.\nBuild internal engineering tools using AI-assisted development technologies.\nExplore and implement MCP-based integrations, AI agents, tool calling, and AI-assisted workflows where appropriate.\nEvaluate AI output quality, reliability, latency, and cost before introducing AI functionality into production systems.\nApply appropriate security, privacy, and data handling principles when integrating external AI services.\n\nRequired Qualifications\nSeveral years of professional experience as a Full-Stack Engineer, Software Engineer, or similar role.\nStrong backend development experience with Java and Spring Boot, Python, or comparable backend technologies.\nStrong frontend development experience with React and TypeScript.\nExperience designing and developing REST APIs and integrating third-party systems.\nSolid understanding of microservices and distributed systems.\nExperience with relational databases such as PostgreSQL, MySQL, or Oracle.\nExperience with NoSQL or caching technologies such as MongoDB and Redis.\nExperience working with Docker and cloud-based application deployment.\nExperience with at least one major cloud platform, preferably GCP, AWS, or Azure.\nGood understanding of software architecture, scalability, performance optimization, and system reliability.\nExperience with CI\/CD and modern software development workflows.\nStrong troubleshooting and problem-solving capabilities.\nComfortable taking ownership across frontend, backend, integration, and deployment.\nProfessional working proficiency in English.\n\nAI Requirements\nHands-on experience integrating LLMs or generative AI APIs into applications.\nExperience using at least one major LLM platform such as OpenAI, Claude, Gemini, or equivalent.\nUnderstanding of prompt design, structured outputs, tool\/function calling, and AI API integration patterns.\nExperience using AI coding tools such as Claude Code, Codex, GitHub Copilot, Cursor, or similar tools in professional software development.\nAbility to identify where AI provides business value and where conventional software logic is more appropriate.\nUnderstanding of key production AI considerations including:\nmodel quality\nhallucination and reliability\nlatency\ntoken usage and cost\nprivacy and data security\n\nPreferred Qualifications\nExperience in one or several of the following areas is considered an advantage:\nPython FastAPI.\nReact 18\/19, Next.js, Vite, Tailwind CSS, or modern frontend frameworks.\nGraphQL.\nGCP technologies such as Cloud Run, Pub\/Sub, Cloud SQL, BigQuery, and GCS.\nEvent-driven architectures and message-based processing.\nTerraform or other Infrastructure as Code technologies.\nRedis, MongoDB, BigQuery, or other modern data platforms.\nE-commerce, IoT, telecom, or enterprise platform development.\nHigh-volume or high-concurrency distributed systems.\nAI model gateways or abstraction layers such as LiteLLM.\nModel Context Protocol (MCP).\nRetrieval-Augmented Generation (RAG).\nAI Agents and tool-calling architectures.\nAI observability, model evaluation, cost tracking, or multi-model routing.\nBuilding internal developer tools or engineering automation using AI.\n\nPersonal Qualities\nWe believe you are:\nProduct-minded and capable of understanding both technical and business requirements.\nComfortable working across the entire software stack.\nCurious about AI and emerging software technologies.\nPragmatic when deciding between AI-based solutions and traditional software engineering.\nProactive and comfortable taking ownership of complex technical problems.\nStructured and analytical when troubleshooting distributed systems.\nAble to work independently while collaborating effectively with developers, product owners, and other stakeholders.\n\nTechnology Environment\nDepending on the project, the technology environment may include:\nJava \u00b7 Spring Boot \u00b7 Python \u00b7 FastAPI \u00b7 React \u00b7 TypeScript \u00b7 Next.js \u00b7 REST \u00b7 GraphQL \u00b7 PostgreSQL \u00b7 MongoDB \u00b7 Redis \u00b7 BigQuery \u00b7 Docker \u00b7 GCP \u00b7 AWS \u00b7 Azure \u00b7 Terraform \u00b7 Pub\/Sub \u00b7 CI\/CD \u00b7 OpenAI \u00b7 Claude \u00b7 Gemini \u00b7 LiteLLM \u00b7 MCP \u00b7 RAG \u00b7 AI Agents\nLocation\nGothenburg\nEmployment\nFull-time\n\u00d6ppen f\u00f6r alla\nVi fokuserar p\u00e5 din kompetens, inte dina \u00f6vriga f\u00f6ruts\u00e4ttningar. Vi \u00e4r \u00f6ppna f\u00f6r att anpassa rollen eller arbetsplatsen efter dina behov.","price":null,"currency":"SEK","status":"active","noindex":true,"location":{"address":null,"full_address":null,"city":"G\u00f6teborg","country":"SE","latitude":57.7072326,"longitude":11.9670171},"metadata":{"region":"V\u00e4stra G\u00f6talands l\u00e4n","duration":"Tills vidare","employer":"markley Konsult AB","positions":1,"profession":"Fullstack-utvecklare","salary_type":"Fast m\u00e5nads- vecko- eller timl\u00f6n","scope_of_work":"100\u2013100 %","working_hours":"Heltid","employment_type":"full_time","occupation_field":"Data\/IT","employer_workplace":"markley Konsult AB","experience_required":true,"employment_type_label":"Tillsvidareanst\u00e4llning (inkl. eventuell provanst\u00e4llning)"},"user_id":null,"is_sponsored":false,"views_count":0,"ai_views_count":7,"bot_views_count":4,"ai_vendor_counts":{"meta":5,"openai":1,"anthropic":1},"visibility":"public","submission_source":null,"submission_ai_name":null,"has_owner_email":true,"can_contact_owner":true,"phone":null,"owner_email":"info@markley.se","images":[],"published_at":"2026-09-07T15:04:10+00:00","expires_at":"2026-09-20T23:59:59+00:00","created_at":"2026-09-08T03:55:36+00:00","updated_at":"2026-09-17T02:47:17+00:00"}}