Senior AI Systems Engineer

TechSeed; Stockholms kommun; On-site; SEK 900,000 - 1,200,000; Full time

Job summary

TechSeed is building the operational backbone for the next generation of Intelligent Systems. We’re seeking a Senior AI Systems Engineer to design, build and scale production-ready AI-enabled operational solutions that combine software engineering, data, and AI across real-time workflows.

You’ll work with architects and domain specialists to transform complex challenges into reliable, scalable systems, applying modern AI frameworks, MLOps and cloud platforms.

Qualifications

• Strong software engineering background.
• Python programming.
• 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.

Responsibilities

• As a Senior AI Systems Engineer, 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.

Skills

Python

LLMs and AI frameworks

RAG and AI agents

Cloud platforms

APIs and distributed systems

Docker and CI/CD

MLOps

Tools

Docker

Kubernetes

CI/CD

Azure

AWS

GCP

Job description

Overview

We’re building the Operational Backbone for the next generation of Intelligent Systems. At TechSeed, we’re creating 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.

Responsibilities

• As a Senior AI Systems Engineer, 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

You’ll work closely with architects, software engineers and domain specialists across TechSeed to transform complex operational challenges into production-ready intelligent systems.

What you’ll bring

• 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

Experience from industrial systems, embedded software, IoT or operational technology is an advantage, but curiosity, strong engineering skills and a passion for solving complex problems are even more important.

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.

Why join us?

• 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.

If you’re excited by building intelligent systems that create real-world impact, we’d love to hear from you.