Full-stack Engineer

About the Role

We are looking for an experienced Senior Full-Stack Engineer to join our engineering team and build modern, scalable, AI-enabled digital products.

You will work across the full application stack, from backend services and APIs to modern web interfaces, cloud infrastructure, data integrations, and AI-powered features.

Key Responsibilities

• Design, develop, and maintain scalable full-stack applications and enterprise platforms.
• Build backend services and APIs using technologies such as Java / Spring Boot and Python / FastAPI.
• Develop modern web applications using React, TypeScript, and Next.js.
• Design and implement REST, GraphQL, webhook, and third-party API integrations.
• Build and maintain distributed systems based on microservices and event-driven architectures.
• Design reliable data models and optimize application and database performance.
• Develop cloud-native applications and services running on public cloud platforms.
• Work with relational, NoSQL, caching, and analytical databases.
• Implement asynchronous processing, messaging, retry mechanisms, idempotency, and failure handling.
• Build automated CI/CD pipelines and participate in deployment and infrastructure automation.
• Improve application observability through logging, metrics, tracing, alerting, and operational dashboards.
• Troubleshoot complex application, integration, and production issues across frontend, backend, and cloud environments.
• Participate in architecture discussions, technical design, code reviews, and engineering best practices.
• Take ownership of solutions from requirement analysis through development, testing, deployment, and production support.

AI & Intelligent Application Development

As AI becomes increasingly integrated into modern software products, this role also requires practical experience using AI technologies in application development.

You will:

• Design and integrate LLM-powered features into production applications.
• Integrate APIs from providers such as OpenAI, Anthropic Claude, Google Gemini, or equivalent platforms.
• Build applications capable of working with multiple AI model providers.
• Develop AI-enabled workflows for tasks such as content processing, translation, summarization, information extraction, classification, and automation.
• Implement structured LLM outputs and integrate AI results into backend business logic.
• Work with model routing, fallback strategies, usage monitoring, and AI API cost management.
• Build internal engineering tools using AI-assisted development technologies.
• Explore and implement MCP-based integrations, AI agents, tool calling, and AI-assisted workflows where appropriate.
• Evaluate AI output quality, reliability, latency, and cost before introducing AI functionality into production systems.
• Apply appropriate security, privacy, and data handling principles when integrating external AI services.

Required Qualifications

• Several years of professional experience as a Full-Stack Engineer, Software Engineer, or similar role.
• Strong backend development experience with Java and Spring Boot, Python, or comparable backend technologies.
• Strong frontend development experience with React and TypeScript.
• Experience designing and developing REST APIs and integrating third-party systems.
• Solid understanding of microservices and distributed systems.
• Experience with relational databases such as PostgreSQL, MySQL, or Oracle.
• Experience with NoSQL or caching technologies such as MongoDB and Redis.
• Experience working with Docker and cloud-based application deployment.
• Experience with at least one major cloud platform, preferably GCP, AWS, or Azure.
• Good understanding of software architecture, scalability, performance optimization, and system reliability.
• Experience with CI/CD and modern software development workflows.
• Strong troubleshooting and problem-solving capabilities.
• Comfortable taking ownership across frontend, backend, integration, and deployment.
• Professional working proficiency in English.

AI Requirements

• Hands-on experience integrating LLMs or generative AI APIs into applications.
• Experience using at least one major LLM platform such as OpenAI, Claude, Gemini, or equivalent.
• Understanding of prompt design, structured outputs, tool/function calling, and AI API integration patterns.
• Experience using AI coding tools such as Claude Code, Codex, GitHub Copilot, Cursor, or similar tools in professional software development.
• Ability to identify where AI provides business value and where conventional software logic is more appropriate.
• Understanding of key production AI considerations including:
• model quality
• hallucination and reliability
• latency
• token usage and cost
• privacy and data security

Preferred Qualifications

Experience in one or several of the following areas is considered an advantage:

• Python FastAPI.
• React 18/19, Next.js, Vite, Tailwind CSS, or modern frontend frameworks.
• GraphQL.
• GCP technologies such as Cloud Run, Pub/Sub, Cloud SQL, BigQuery, and GCS.
• Event-driven architectures and message-based processing.
• Terraform or other Infrastructure as Code technologies.
• Redis, MongoDB, BigQuery, or other modern data platforms.
• E-commerce, IoT, telecom, or enterprise platform development.
• High-volume or high-concurrency distributed systems.
• AI model gateways or abstraction layers such as LiteLLM.
• Model Context Protocol (MCP).
• Retrieval-Augmented Generation (RAG).
• AI Agents and tool-calling architectures.
• AI observability, model evaluation, cost tracking, or multi-model routing.
• Building internal developer tools or engineering automation using AI.

Personal Qualities

We believe you are:

• Product-minded and capable of understanding both technical and business requirements.
• Comfortable working across the entire software stack.
• Curious about AI and emerging software technologies.
• Pragmatic when deciding between AI-based solutions and traditional software engineering.
• Proactive and comfortable taking ownership of complex technical problems.
• Structured and analytical when troubleshooting distributed systems.
• Able to work independently while collaborating effectively with developers, product owners, and other stakeholders.

Technology Environment

Depending on the project, the technology environment may include:

Java · Spring Boot · Python · FastAPI · React · TypeScript · Next.js · REST · GraphQL · PostgreSQL · MongoDB · Redis · BigQuery · Docker · GCP · AWS · Azure · Terraform · Pub/Sub · CI/CD · OpenAI · Claude · Gemini · LiteLLM · MCP · RAG · AI Agents

Location

Gothenburg

Employment

Full-time

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