Full Stack Developers in Goteborg design, build and improve web applications that support real business workflows, including practical AI-enabled features. You own features across frontend, backend and data layers, from requirements clarification through production delivery. Working onsite with product owners, architects, designers and client stakeholders, you combine hands-on engineering with precise specifications, responsible use of AI development tools and validation of business outcomes. This role matters because it drives the creation of robust, user-focused solutions that enhance enterprise operations.ResponsibilitiesUnderstand how users work, clarify requirements with product owners and domain experts, and surface assumptions, dependencies and constraints before implementationTranslate agreed requirements into buildable feature specifications and testable acceptance criteria, covering business rules, data flows, permissions, edge cases and failure scenariosDesign, implement and maintain frontend components, backend services, REST APIs and data models within the agreed architecture; explain technical trade-offs and raise decisions that affect other systemsUse AI coding assistants and agents to support implementation, testing and refactoring. Provide clear context and constraints, review generated changes and remain accountable for their correctness, security and maintainabilityIntegrate applications with enterprise systems and AI services through APIs, supporting features such as summarization or semantic search with appropriate authentication, data consistency, output validation and fallback behaviorWrite automated unit, integration and end-to-end tests. Demonstrate features against agreed business scenarios, incorporate user feedback and make validation gaps visibleContribute to CI/CD pipelines and deployment automation; support releases, application monitoring and production troubleshootingDiagnose issues across the stack using logs, traces and test evidence, distinguishing requirement gaps from implementation defects and test failuresImprove existing codebases through focused refactoring, peer reviews and documentation; communicate delivery risks and propose practical improvements within the agreed scopeRequirementsFive years in software development, with frontend and backend experience and independent delivery of production featuresStrong proficiency in at least one backend stack, such as C#/.NET, Node.js or Python, with sound knowledge of API design and application architectureSolid JavaScript/TypeScript skills and practical experience with React, Angular or a comparable framework, including responsive, accessible interfaces and application state managementExperience with SQL and/or NoSQL databases, data modeling, schema changes, query performance and data consistency trade-offsPractical experience with cloud-hosted applications, preferably Azure, and working knowledge of containerization, CI/CD and infrastructure as codeStrong automated testing, debugging, Git and code review skills, with experience addressing application security, reliability and performancePractical experience using AI coding assistants or agents, including supplying requirements and repository context, checking generated code, diagnosing failures and following project data-handling rulesPractical exposure to integrating LLM APIs through a project or prototype, with a basic understanding of prompts, output validation, data privacy and usage costsAbility to clarify business workflows and turn them into implementable requirements and acceptance scenarios, including behavior inferred from existing applicationsClear communication with technical and non-technical stakeholders; willingness to ask questions, challenge unsupported assumptions and escalate risks earlyOwnership of feature quality through implementation, deployment and user feedback, with effective collaboration across product and engineeringNice to haveExperience with retrieval-augmented generation (RAG) or managed cloud AI services, particularly on AzureExperience with identity and access management, event-driven integrations or enterprise application modernizationDeeper experience with Kubernetes, infrastructure as code or application observabilityExperience in automotive or other enterprise environments, and participation in client workshops or user acceptance sessionsWe offerEPAM Employee Stock Purchase Plan (ESPP)Company’s pension planPrivate healthcare insuranceSafety & life insuranceGym discountsWellness Grant (SEK 2000)Corporate Programs including Employee Referral Program with rewardsLearning and development opportunities including in-house training and coaching, professional certifications, and courses