Location:
Stockholm, Sweden Work Arrangement: Hybrid (On-site 3 Days per Week) Employment Type: Full-Time (FTE) Experience Required: 5-10 Years Language Requirement: Swedish (Mandatory), Any nationality can apply We are seeking an experienced Technical Lead – GenAI & Cloud Engineering to lead the design, architecture, and delivery of cloud-native and AI-powered solutions. The ideal candidate will have strong hands-on expertise in GCP, BigQuery, Python, FastAPI, OpenAI API integration, and Generative AI technologies along with proven experience leading engineering teams and driving technical decisions. This role requires a combination of technical leadership, solution architecture, backend engineering, cloud technologies, and AI integration experience to deliver scalable, secure, and high-performance enterprise solutions.

Key Responsibilities
Technical Leadership & Architecture
• Own the end-to-end technical architecture and solution design for complex projects.
• Lead and mentor engineering teams and provide technical guidance.
• Drive technical decision-making, technology selection, and implementation approaches.
• Conduct architecture reviews, code reviews, and technical assessments.
• Collaborate with business stakeholders, product owners, and cross-functional teams. Cloud Engineering (GCP & BigQuery)
• Design and build cloud-native applications on Google Cloud Platform (GCP).
• Develop and optimize BigQuery solutions for analytics and data processing workloads.
• Integrate cloud services with applications, APIs, and data platforms.




• Implement cloud security, monitoring, access management, and deployment best practices.
• Optimize cloud performance, scalability, and resource utilization. Python & API Development
• Design, develop, and maintain backend applications using Python.
• Build and support RESTful APIs using FastAPI.
• Integrate backend services with databases, cloud services, external platforms, and AI models.
• Implement authentication, logging, testing, monitoring, and API documentation.
• Troubleshoot and optimize application performance. Generative AI & OpenAI Integration
• Design and implement AI-powered applications and Generative AI solutions.
• Integrate OpenAI APIs and other Large Language Models (LLMs) into enterprise applications.
• Develop AI-driven workflows and automation capabilities.
• Evaluate and implement appropriate AI integration patterns.
• Ensure AI solutions meet security, scalability, reliability, and performance requirements. Software Delivery & Engineering Excellence
• Oversee the complete software development lifecycle from design to production support.
• Support version control, CI/CD, testing, deployment,



and release management practices.
• Identify technical risks and provide mitigation strategies. Ensure alignment between technical delivery and business goals. Must Have Skills
• Mandatory Swedish language proficiency (spoken and written)
• Hands-on experience with Google Cloud Platform (GCP)
• Hands-on experience with BigQuery
• Strong hands-on Python development experience
• Hands-on experience developing REST APIs using FastAPI
• Hands-on experience with OpenAI API integration
• Hands-on experience designing and implementing Generative AI solutions
• Experience leading development teams and driving technical decisions Valuable to Have Skills
• Experience with Microservices Architecture
• Experience with Distributed Systems
• Experience with AI Agents and Workflow Automation
• Experience with Cloud Security and IAM
• Experience with CI/CD and DevOps Practices
• Experience with Automated Testing Frameworks
• Experience with Data Analytics and Data Platform Integrations
• Experience with Monitoring and Observability Tools
• Experience with Database Design and Optimization
• Experience conducting Code Reviews and enforcing Engineering Best Practices
• Experience defining Technical Roadmaps
• GCP Certifications
• AI / Generative AI Certifications
• Bachelor's Degree in Computer Science, Information Technology, or a related field
• Experience working in Hybrid and Distributed Teams

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