Senior backend engineer - AI platform & Agentic workflows

About Modelon 

Modelon is revolutionizing the engineering design industry by offering technologies and services that enable customers to leverage system simulation. Modelon’s flagship product, Modelon Impact, is a cloud system simulation platform that helps engineers virtually design, analyze, and simulate physical systems. Our team brings deep industry expertise and is dedicated to guiding our customers in creating innovative technologies at their respective organizations. Headquartered in Lund, Sweden, Modelon is a global company with offices in Germany, India, Japan, and the United States. We believe that system simulation should be accessible to every engineer and are dedicated to being an open-standard platform company. 

Help build the backend and workflow foundations that turn AI from a chat feature into reliable, production-grade product capability.

About the role

We are looking for a strong senior backend engineer with solid platform and distributed systems fundamentals who wants to work at the intersection of backend engineering, workflows, and modern AI.

This is a hands-on role focused on building the services, orchestration, integrations, and runtime foundations behind AI-enabled product capabilities. You do not need to have built a full agent platform before. What matters most is that you are an excellent engineer, comfortable with complex backend systems, and excited to learn fast in a rapidly evolving area.

Why this role is interesting

AI is shifting software from simple request/response interactions toward systems that can support multi-step workflows, use tools, and help users move from intent to action. In technical products, that creates the opportunity to build software that can guide, orchestrate, and assist — not just answer questions.

The hard part is not only connecting to an LLM. The hard part is building the backend systems that make AI capabilities reliable, observable, safe, and useful in production. That is what this role is about.

What you will do

• Build backend services and APIs for AI-enabled workflows and product capabilities.
• Design and implement multi-step workflow and orchestration logic.
• Integrate AI capabilities with internal services, tools, and external systems.
• Build systems for job handling, task coordination, retries, and failure recovery.
• Improve telemetry, tracing, logging, and operational visibility for complex workflows.
• Contribute to technical direction and engineering practices through hands-on implementation.

What we are looking for

Core requirements

• Several years of hands-on experience in backend software engineering.
• Strong programming skills in one or more modern languages such as Python, Go, Java, C#, or TypeScript.
• Experience designing and building production-grade backend services and APIs.
• Experience with distributed systems, service-oriented architectures, or integration-heavy backend systems.
• Experience with asynchronous workflows, queues, background jobs, or orchestration-heavy systems.
• Strong engineering fundamentals in software design, debugging, reliability, and maintainability.
• Interest in AI-enabled systems and motivation to learn in a fast-moving field.

Highly relevant experience

• Platform engineering or internal developer platform experience.
• Workflow and orchestration frameworks such as Temporal, Dagster, Airflow, Prefect, or Argo.
• Some familiarity with agentic orchestration frameworks or patterns, even if you have not used them in depth, for example LangGraph, Semantic Kernel, AutoGen, PydanticAI, or similar.
• AI/LLM-enabled product development, tool-calling patterns, or AI service integrations.
• Cloud-native platforms and infrastructure such as Azure, AWS, Kubernetes, containers, and managed services.
• Observability and production diagnostics using tools such as OpenTelemetry, Prometheus, Grafana, ELK, or OpenSearch.
• Event-driven systems and messaging technologies such as Kafka, RabbitMQ, or cloud-native equivalents.
• Familiarity with AI-assisted development tools such as Cursor, OpenAI Codex, Claude Code, or similar.

Example technology areas

• Languages: Python, Go, Java, C#, TypeScript
• Workflow / orchestration: Temporal, Dagster, Airflow, Prefect, Argo
• Agentic / AI frameworks: LangGraph, Semantic Kernel, AutoGen, PydanticAI
• Cloud / runtime: Azure, AWS, Kubernetes, containers, managed services
• Messaging / data: Kafka, RabbitMQ, PostgreSQL, Redis
• Observability: OpenTelemetry, Prometheus, Grafana, ELK, OpenSearch
• AI-assisted development: Cursor, OpenAI Codex, Claude Code

What kind of person does well here

• Strong backend engineer with a platform mindset.
• Enjoys building reliable, production-grade software.
• Thinks in reusable capabilities, not just one-off features.
• Excited by AI, but pragmatic about what it takes to make it useful in real products.
• Learns quickly and likes working in areas where patterns are still emerging.

Application and Contact Details 

This position is based in Lund, Sweden. We are reviewing applications on a rolling basis, so apply as soon as possible. For more information and questions about this position, please contact Thomas Nilsson, at thomas.nilsson@modelon.com.