About the role: Senior Backend & AI Engineer We are seeking a Senior Backend & AI Engineer for
Siemens Digital Industries Operations Software, to lead the development and scaling of our Agentic AI platform. The role focuses on strong backend engineering, AI/ML engineering, pipeline ownership, data processing, and production hardening. You will build industrial grade AI agent systems that augment and automate real business workflows in industrial operations. You will own agentic systems end-to-end-from architecture and integration with existing services, to reliability, evaluation, and long-term operation. You'll work closely with product, platform, and domain experts to deliver agentic capabilities that are trustworthy, scalable, and measurable, while helping define how agentic systems are built across the organization.
With the resources of a large company, and the energy of a software start-up, we have fun together while creating a world class software portfolio. Our culture encourages creativity, welcomes fresh thinking, and focuses on growth, so our people, our business, and our customers can achieve their full potential.
About Siemens Digital Industries Operations Software: It is a suite of integrated digital solutions to engineer, simulate and operate manufacturing operations across industries. Operations Software includes our product portfolio in manufacturing engineering (COMOS, Tecnomatix, NX CAM, ...) & production operations (Win CC, Scada, PCS 7 / neo, Opcenter, Insights Hub, ...). The portfolio helps organizations across many different industries to improve operational efficiency, reduce costs, and enhance decision-making by providing real-time visibility and control across manufacturing and business processes.
Formula 1 cars, ships, mobile phones, space exploration vehicles, food & beverages, pharmaceuticals and many of the other objects we see in our daily lives are being conceived and produced using our software.
We're redefining the industrial world using data and AI to make production: Agile, Adaptive, Autonomous. Eliminate productivity boundaries for today's and tomorrow's production operation. Join our mission to build the most comprehensive next generation AI-native Industrial Operations Software portfolio as the new operation system for industry in the age of AI. With us you have the chance to now apply AI to where it really matters: In the physical world of an industrial production and engineering of real things.
As part of Siemens Operations Software (OPS-SW), the Technology, Data Fabric & Agentic AI organization provides the technology foundation that enables the next generation of industrial software. Its portfolio includes AI Production & Engineering Systems, Data Fabric, Agentic AI frameworks, connectivity platforms, semantic data models, cloud-native architectures, and industrial AI services that power autonomous, scalable, and intelligent operations across the OPS-SW portfolio.
What will you do? - Design and develop scalable backend services for agentic AI orchestration and execution systems.
- Own AI pipelines including RAG tuning, evaluation, and quality validation.
- Build and maintain data ingestion, preprocessing, and transformation pipelines.
- Implement APIs for agent orchestration, data services, and AI interaction layers.
- Drive platform hardening including performance optimization, monitoring, and observability.
- Collaborate with DevOps teams on CI/CD, deployment automation, and cloud infrastructure.
- Ensure platform reliability, uptime, and scalability using SRE and DevOps best practices.
- Optimize compute, storage, and inference costs while maintaining performance and quality.
- Establish strong governance, access control, and compliance processes across AI workloads.
- Collaborate cross-functionally in an international setup with product, data science, engineering, and security to deliver high-impact AI features and integrations.
- Troubleshoot production issues and continuously improve the platform's architecture and performance.
What you will bring: - Master's degree or equivalent experience in Computer Science, Robotics, Artificial Intelligence, Software Engineering, Automation Engineering, or a related field.
- 4+ years of experience developing and scaling AI platforms
- Strong expertise in Python backend development and microservices architecture.
- Experience with LLMs, RAG pipelines, and prompt engineering.
- Working experience on Agent application frameworks and on LLM model fine tuning.
- Hands-on experience with vector databases, knowledge graphs and data pipelines.
- Experience with cloud services (AWS preferred)
- Knowledge of containerization, CI /CD and distributed systems.
- Solid grasp of distributed systems, containers, and cloud-native/on-prem deployment (Docker, Kubernetes, NVIDIA AI stack)
What sets you apart: - Experience with multi-agent systems or orchestration frameworks.
- AI observability tools (e.g., Langfuse) experience.
- Knowledge of enterprise AI governance, performance tuning, and security.
- Experience in regulated industries or enterprise platforms.
- Experience with the NVIDIA AI stack (NeMo, NIM, Triton, Nemotron, NeMo Guardrails)
- Mendix (or comparable low-code) integration / extension experience
- Industrial / OT background - OPC-UA, MQTT, MES, historians, manufacturing data
- Enterprise integration experience (SAP, data fabric / streaming, e.g. Kafka)
- Open-source contributions or published work in the agentic-AI / LLM space
Salary is commensurate with experience, and ranges between $ 125,000 CAD - $ 175,000 CAD, excluding bonus and benefits. In addition to base salary, this role includes eligibility for an annual discretionary bonus of 10%.
