AI Engineer

About the role

This role is a new addition to a Gas Services Engineering Team, focused on driving innovation through the development of LLM-powered applications that enhance internal engineering processes. The position spans the full lifecycle of AI solutions, from identifying high-value use cases and rapid prototyping to full-stack development, cloud deployment, and long-term application support. 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.

Responsibilities

• 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.

Requirements

• Bachelor's degree in a technical field. Mechanical or Aerospace Engineering preferred but 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.
• Experience with large language models (LLM), generative AI, NLP, and machine learning.
• Familiarity with frameworks and patterns like LangChain, Model Context Protocol, and agentic workflows.
• Proficiency in Python, API development, and application design.
• Experience with AWS and/or Azure deployment and support.
• Knowledge of DevOps practices.
• Experience with modern front-end frameworks such as React.
• Applicants must be legally authorized to work in the US without the need for current or future employer-sponsored work authorization.
• 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.

About the team

Our Gas Services division offers low-emission power generation through service and decarbonization. We provide zero or low-emission power generation solutions, including gas turbines, steam turbines, and generators under one roof. Our decarbonization opportunities include service offerings, modernization, and digitalization of the fleet.

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. Our global team is committed to making sustainable, reliable, and affordable energy a reality by pushing the boundaries of what is possible.

Benefits

• Career growth and development opportunities
• Supportive work culture
• Company-paid health and wellness benefits
• Paid Time Off and paid holidays
• 401K savings plan with company match
• Family-building benefits
• Parental leave