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 .
• 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 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 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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