A Snapshot of Your Day

As a Software Engineering Intern within Siemens Energy's Gas Services Middle East EHS function, you're a curious builder who thrives on turning ambiguous, real-world problems into working digital solutions someone equally comfortable writing code, experimenting with generative AI, and talking to end users about what they actually need. You'll take ownership of meaningful projects, from prototyping AI-assisted tools and automations to cleaning and structuring EHS data into insights that drive safer, smarter operations, seeing your work move from concept to deployment and real adoption in the field.

How You'll Make an Impact

• Design, prototype, and deliver AI-powered and digital applications that address real EHS use cases, taking each solution from initial concept through testing, deployment, and user adoption using tools such as VS Code, GitHub Copilot, and Microsoft Copilot Studio.
• Build and integrate generative AI capabilities including large language models, prompt engineering, and retrieval-augmented generation (RAG) into practical tools
• Prepare, clean, and integrate EHS data from multiple sources, developing trusted data products, dashboards, and visualizations (including in Power BI)
• Partner closely with EHS specialists and business stakeholders to understand workflows and pain points, translating those needs into working prototypes
• Support the adoption of new solutions through demonstrations, training sessions, user guides, and technical documentation, while tracking usage and benefits to validate the real-world value created.
• Apply sound software engineering practices including version control, testing, and API/database integration to build maintainable solutions

What You Bring

• Currently pursuing or have recently completed a Bachelor's or Master's degree in Computer Science, Software Engineering, Data Science, or a related technical field, ideally backed by academic or internship experience in software development, data analytics, or AI/ML projects.
• Hands-on programming ability in Python, JavaScript, or similar languages, along with familiarity building web applications and integrating REST APIs, JSON, and SQL/NoSQL databases.
• Practical exposure to generative AI and applied data science including LLMs, prompt engineering, machine learning fundamentals, and RAG/embeddings-based knowledge retrieval gained through coursework, personal projects, or internships.
• Communicate well with both technical and non-technical stakeholders, documenting your work clearly and approaching challenges with curiosity, analytical thinking, and a genuine drive to experiment and iterate.

About the Team

Our Gas Services division offers Low-emission power generation through service and decarbonization. Zero or low emission power generation and all gas turbines under one roof, steam turbines and generators. Decarbonization opportunities through service offerings, modernization, and digitalization of the fleet.

Rewards/Benefits

• Opportunities to work with a global team
• Opportunities to work on and lead a variety of innovative projects
• Continual learning through the Learn@Siemens-Energy platform

https://jobs.siemens-energy.com/jobs

#LI-JG1