Siemens Energy

A Snapshot of Your Day

Begin your day with a project revolutionizing high voltage switchgear design, crafting technical solutions, and analyzing risks.

How You’ll Make an Impact

• Collaborate with the Business Owner/PM and Frontend Engineer​to translate complex R&D workflows and business logic into the functional specification and architecture of scalable AI agent systems.
• Design, develop, and maintain the core backend services and APIs​that power our Smart R&D AI Agents, ensuring high performance, scalability, and maintainability.
• Emerging Tech Exploration & Prototyping: Track cutting-edge technologies like AI (especially Generative AI) and rapidly build Proof-of-Concept (PoC) prototypes to inform technology decisions.
• Implement, fine-tune, and integrate LLMs and other AI models​(using frameworks like LangChain, LlamaIndex, or custom approaches) to enable sophisticated reasoning, planning, and task execution within the agents.
• Build and manage data pipelines, tool integrations, and knowledge retrieval systems​(e.g., using vector databases) that provide agents with context and operational capability.
• Own the full lifecycle of agent capabilities​from prototyping and prompt engineering/optimization to deployment, monitoring, and iterative improvement in a production-like environment.

• Education: Bachelor's degree or higher in Computer Science, Software Engineering, Data Science, Automation, or a related engineering field.
• Experience: 3+ years of professional experience in software development with a strong focus on backend systems and data-intensive applications.
• Proven experience in building applications with Large Language Models (LLMs) or AI agents.​Practical knowledge of frameworks like LangChain, LlamaIndex, or AutoGen is a significant plus.
• Expert proficiency in Python​and its ecosystem for data processing, API development (FastAPI, Flask), and AI/ML libraries. 
• Solid understanding of software engineering fundamentals: system design, API design, data structures, and algorithms. 
• Experience with cloud platforms (AWS, GCP, Azure) and containerization technologies (Docker, Kubernetes).
• Excellent problem-solving skills and the ability to work independently in a fast-paced, collaborative team environment.
• Language: Strong communication skills in English for clear technical documentation and effective teamwork.
• Preferred Qualifications: 
• Experience with Continuous Integration and Continuous Delivery/Deployment pipelines, Machine Learning Operations practices, and monitoring tools for AI applications.
• Familiarity with frontend technologies (Node.js, React) is a plus, enabling smoother collaboration with our frontend engineer, but not a primary 
• requirement.
• A portfolio or GitHub repository demonstrating projects involving LLMs, AI agents, or complex backend systems.

About the Team

Our Grid Technologies division is at the forefront of crafting a reliable, balanced, and digital grid. The power grid is the backbone of the energy transition, and Siemens Energy offers a world-class portfolio and solutions in HVDC transmission, grid stabilization and storage, high voltage switchgears, transformers, and digital grid technology.

Who is Siemens Energy?

Siemens Energy, with 100,000 employees across 90 countries, innovates energy solutions for the future.

Our distributed team is committed to making balanced, 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.

Our Commitment to Diversity

Lucky for us, we are not all the same. Through diversity, we generate power. We run on inclusion and our combined creative energy is fueled by over 130 nationalities. Siemens Energy celebrates character – no matter what ethnic background, gender, age, religion, identity, or disability. We energize society, all of society, and we do not discriminate based on our differences.

Rewards/Benefits

• Competitive salary and performance-based bonuses.
• Comprehensive health and wellness plans.
• Opportunities for career development and continuous learning.
• Flexible work arrangements to support work-life balance.
• Inclusive and collaborative company culture.
• Employee recognition programs.