AI Systems Engineer (Edge / MLOps)

Evolved Aerospace; Linköpings kommun; On-site; SEK 700,000 - 900,000; Full time

Job summary

Evolved Aerospace in Linköping, Sweden, seeks an AI Systems Engineer to design and deploy edge and offboard AI systems for real-world missions. You will build training and deployment pipelines, optimize models for real-time inference, and drive data-synthetic strategies within the Munin CCI team.

Join a mission-driven environment where autonomy, software, sensing, and systems integration come together to deliver robust capability in contested environments.

Qualifications

• Experience designing and deploying edge/embedded AI systems.
• Strong background in deep learning model optimization.
• Familiarity with ML pipelines and data engineering.

Responsibilities

• Design Munin’s core AI architecture.
• Build training and deployment pipelines.
• Implement multi-agent coordination logic.
• Optimize models for real-time edge inference.
• Manage model monitoring, updates and lifecycle.
• Drive synthetic data strategies.

Skills

Deep learning

Edge AI

MLOps

Model optimisation

Dataset engineering

Tools

PyTorch

TensorRT

ONNX

Docker

MLflow/W&B

Job description

Evolved Aerospace develops mission-critical aerospace systems designed for real operational use.

We combine autonomy, software, sensing, and systems integration to deliver capability that performs in contested and constrained environments — not just in test settings.

Our work is guided by a simple principle: platforms are means, not the objective. Mission outcomes define success.

AI Systems Engineer (Edge / MLOps)

Location: Linkoping, Sweden

Team: Munin CCI

You’ll architect and deploy AI systems spanning onboard and offboard components, focusing on performance, reliability, and real-world deployment.

Responsibilities

• Design Munin’s core AI architecture


• Build training and deployment pipelines


• Implement multi-agent coordination logic


• Optimise models for real-time edge inference


• Manage model monitoring, updates, and lifecycle


• Drive synthetic data strategies

Core Skills

• Deep learning architectures


• Edge/offboard AI systems


• Model optimisation (quantisation, pruning)


• Dataset engineering

Tools & Tech

• PyTorch


• TensorRT


• ONNX


• Docker


• MLflow/W&B

If you’re driven by real-world impact, we’d like to hear from you.

Apply below or contact Connor Hird via LinkedIn or [e-mail].

Evolved Aerospace is an equal opportunity employer.