Senior AI Systems Engineer
Indexed description
At TechSeed, we're building intelligent operational systems where AI, enterprise platforms, operational data and XR work together to support real-time decision making in industry, critical infrastructure and society.
We're not building isolated AI applications.
We're building the operational backbone behind the next generation of intelligent systems.
You'll join our XR & Intelligent Systems team, where you'll work alongside experienced specialists to design and build production-ready solutions that combine software engineering, AI and modern system architecture.
What you'll do
As a Senior AI Systems Engineer, you'll help design, build and scale intelligent operational systems where AI becomes part of real-world operations.
Examples of what you'll build include:
- AI-powered decision support
- LLM- and agent-based solutions
- AI integrated with enterprise platforms and operational data
- Real-time data pipelines
- Intelligent system architecture
- Digital Twin capabilities
What You'll Bring
We believe you'll recognize yourself in several of these areas:
- Strong software engineering background
- Python
- LLMs and modern AI frameworks
- RAG and AI agents
- Cloud platforms (Azure, AWS or GCP)
- APIs and distributed systems
- Docker, Kubernetes and CI/CD
- MLOps and production AI
Who You Are
- You enjoy solving difficult engineering challenges.
- You think in systems rather than isolated applications.
- You enjoy combining software engineering, architecture and AI to build solutions that create measurable business value.
- You're comfortable taking ownership, challenging ideas and collaborating with other senior specialists.
- Most importantly, you're motivated by building intelligent systems that solve real-world operational challenges.
- Due to the nature of many of our client engagements, professional proficiency in Swedish (spoken and written) is required.
- You'll become part of a growing specialist team focused on the future of intelligent operational systems.
- Working together with experts across AI, Cloud, Embedded Systems, Enterprise Integration and XR, you'll help shape solutions that support real-world operations—not just demonstrations.
- You'll have significant influence over architecture, technology choices and how we build our future AI capabilities.
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