AI Engineer – Prototyping & Feasibility

Work across industries with smart colleagues and modern technology. This is a longterm, full-time, on-site assignment on Sweden's

west coast.

We are looking for an AI Engineer to join our client's team on a longterm assignment. You will support AI prototyping and

early-phase feasibility assessments for next-generation vehicle systems. The role focuses on turning ideas into prototypes,

validating technical viability, and assessing measurable value compared with existing solutions.

• Work with domain experts in areas such as vehicle dynamics, energy management and intelligent cockpit to identify problems where

AI can create value

• Build and test early prototypes using real or simulated data
• Define and evaluate KPIs such as efficiency improvements, performance gains, robustness, and cost or complexity reduction
• Benchmark results against baseline and state-of-the-art approaches
• Support feasibility assessments covering data availability, compute and latency constraints, and integration complexity
• Document findings and contribute to go/no-go decisions
• Contribute to reusable tools, experiment setups and prototype frameworks

• REQUIREMENTS
• Degree in AI, Computer Science, Robotics, Engineering, or similar
• 0–3 years of experience, including thesis or project work
• Strong Python skills and experience with ML frameworks such as PyTorch, TensorFlow or Keras
• Solid understanding of ML fundamentals, evaluation metrics, overfitting control and experiment structure
• Hands-on experience or exposure to computer vision, pattern recognition or deep learning
• Ability to structure open-ended problems and learn quickly
• Good collaboration skills with domain experts
• A portfolio, GitHub, thesis or prototype work is highly valued
• Experience with Pandas, NumPy, Jupyter, MLflow, Git, Docker and basic CI/CD is a plus
• Experience with LangChain, Dify, vLLM or LLaMA-based tooling, or with simulation and vehicle data, is a plus

You are curious and fast-learning, analytical and structured. You are comfortable working with open-ended, exploratory problems,

collaborate and communicate well, and have a value-driven mindset focused on feasibility and measurable impact.