AI Engineer

The role is centered on three core areas: AI application strategy and prototyping, full-stack development and system integration, and application support and lifecycle management. The ideal candidate brings hands-on experience as a full-stack engineer with a strong foundation in AI/ML, including proficiency in Python, experience with LLM frameworks, and a solid understanding of the software development lifecycle, cloud platforms, and production support of enterprise applications.

How You'll Make an Impact

• 40% Full-Stack Development and Integration

• Design, build, and deploy robust, scalable full-stack applications, integrating front-end interfaces with back-end LLM services.

• Develop and manage APIs to ensure seamless integration of AI models into existing engineering platforms and workflows.

• Implement and manage CI/CD pipelines to automate the testing and deployment of applications.

• Collaborate with and guide external contractors on specific development tasks, ensuring alignment with project standards and timelines.

• 30% AI Application Strategy and Prototyping

• Collaborate with engineering stakeholders to identify and evaluate opportunities for new LLM-based applications that address business needs.

• Translate user requirements and process challenges into technical specifications for AI-powered tools and service assistants.

• Develop proof-of-concept models and rapid prototypes to validate the feasibility and potential impact of new application ideas.

• 30% Application Support and Lifecycle Management

• Provide ongoing technical support for deployed AI applications, performing troubleshooting and resolving reported issues.

• Monitor application performance, reliability, and user feedback to identify and implement continuous improvements and optimizations.

• Create and maintain comprehensive documentation for application architecture, codebases, and operational procedures.

• Bachelor's degree in a technical field. Mechanical or Aerospace Engineering preferred / not required.

• 2-5 years' AI/ML engineering. Candidates with more experience may be considered for a higher-level position.

• Developing and deploying applications using Python and modern AI/LLM frameworks.

• Large language models (LLM), generative AI, NLP, and machine learning

• Frameworks and patterns like LangChain, Model Context Protocol, and agentic workflows

• Proficiency in Python, API development, and application design

• AWS and/or Azure deployment and support, Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.

At Siemens Energy, we are more than just an energy technology company. With ~100,000 dedicated employees in more than 90 countries, we develop the energy systems of the future, ensuring that the growing energy demand of the global community is met reliably and sustainably. The technologies created in our research departments and factories drive the energy transition and provide the base for one sixth of the world's electricity generation. Our global team is committed to making sustainable, reliable, and affordable energy a reality by pushing the boundaries of what is possible. We uphold a 150-year legacy of innovation that encourages our search for people who will support our focus on decarbonization, new technologies, and energy transformation. Find out how you can make a difference at Siemens Energy:** **https://www.siemens-energy.com/employeevideo