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Scania Group in Södertälje invites a senior engineer to build production-grade LLM agent workflows within Scania Logistics. You will design, implement, and operate autonomous agent systems that read context, access enterprise data, and act through tools while handing off to humans at defined control points.
The role emphasizes governance, evaluation, and safe runtime operation of intelligent logistics at scale, collaborating with AI, software and operations teams to deliver real-world impact.
Scania is undergoing a transformation from being a leading supplier of trucks, buses, and engines to providing complete and sustainable transport solutions. Together with TRATON and our sister brands MAN, Volkswagen Truck & Bus, and International, we are working to shape the future of mobility with innovative and environmentally conscious solutions. Our values - customer first, respect, team spirit, responsibility, and elimination of waste - are at the heart of everything we do. Together, we are at the forefront of creating a sustainable future.
Embedded in Scania Logistics to build and scale governed agentic workflows across order-to-delivery.
Autonomous logistics does not fail on ambition or ideas; it fails on the last mile between a proven demo and a governed production system. That last mile is exactly what this role owns, and each competency below is chosen against the goal, not against a generic job ladder.
Design, build and operate production agentic workflows that take real order-to-delivery work, read approved context and enterprise data, use tools to act, and hand to humans at defined control points. The role turns proven proof lanes into reusable, governed capability that stays Scania-owned, and is measured on production outcomes rather than prototypes.
What matters most: the ability to build governed agentic workflows and to evaluate them honestly. Everything else strengthens the fit but is not required.
Good to have: a logistics or supply-chain operations background, and strong software engineering (Python, APIs, distributed-systems thinking). Either is a real plus, and the blend of both is the ideal profile.
This is not an ML engineer training models, a data scientist or analyst producing insight, or a developer shipping deterministic software. It owns the deployed, non-deterministic agent system at runtime: tool routing, guardrails, evaluation of stochastic behavior, and the cost, latency and safety of agents that decide and act. Strategy and ownership already sit in the team.
We are a team within Scania Logistics working towards a bold ambition: autonomous logistics at global scale. Across logistics, we are rethinking how work gets done - building towards intelligent systems that can sense change, make decisions and act, with people setting direction and remaining accountable.
We bring together AI, engineering and deep operational knowledge. We believe the people closest to the work are our strongest lever for transformation. Together, we challenge established ways of working, test ideas against real constraints and build evidence for where autonomy creates value.
You will join a team with a clear strategic direction and meaningful room to shape how we deliver it. The opportunity is to turn emerging technology into operational capability—and help define what autonomous logistics becomes at Scania.
We offer a dynamic and engaging workplace where collaboration, innovation, and continuous improvement are part of everyday life. You will be part of a strong team environment that encourages knowledge sharing and close cooperation across functions.
With a structured development plan and a wide range of training opportunities, Scania supports your professional growth both locally and internationally.
Your application should include a CV and any relevant certificates. We welcome all applicants and strive for diversity in our recruitment processes.
If you have questions or would like more information, please contact:
Johan Lindahl, Group Manager Process and IT - Central Solutions, johan.lindahl@scania.com