Siemens Digital Industries Software is a leading provider of solutions for the design, simulation, and manufacture of products across many different industries. Formula 1 cars, skyscrapers, ships, space exploration vehicles, and many of the objects we see in our daily lives are being conceived and manufactured using our Product Lifecycle Management (PLM) software.  

 We are seeking Backend Engineers to play a pivotal role in building our Data & AI services Agentic Workflow Service and Retrieval-Augmented Generation (RAG) Service. In this hybrid role, you'll leverage your expertise in both backend development and AI knowledge and skills to create robust, scalable Data & AI services using AWS Kubernetes, Amazon Bedrock models.  

Expertise and understanding in:  

Backend development experience with strong Java programming skills along with basic Python programming knowledge  

Design and develop microservices with Java spring boot that efficiently integrate AI capabilities  

Experience with microservices architecture, API design, and asynchronous programming  

Experience in working with Databases (SQL, NoSQL) and data structures   

Strong knowledge of AWS services, particularly Bedrock, Lambda, and container services  

Experience with containerization technologies, Kubernetes and AWS serverless  

Understanding of RAG systems with advanced retrieval mechanisms and vector database integration  

Understanding of agentic workflows using technologies such as AWS Strands Framework, LangChain / LangGraph  

Create scalable data processing pipelines for training data and document ingestion  

Write clean, maintainable, and well-tested code with comprehensive documentation  

Collaborate with multiple cross-functional team members including DevOps, product, and frontend engineers  

Stay current with the latest advancements in Data, LLMs and AI agent architectures  

Minimum experience requirements  

6+ years of total software engineering experience  

Understanding building RAG systems and working with vector databases  

ML/AI engineering, particularly with LLMs and generative AI applications  

Awareness about LangChain/LangGraph or similar LLM orchestration frameworks  

Understanding of ML model deployment, serving, and monitoring in production environments  

Knowledge of prompt engineering   

Excellent problem-solving abilities and system design skills  

Strong communication skills and ability to explain complex technical concepts  

Ability to learn new technologies quickly   

 Preferred Qualifications: 

Must have AWS certifications - Associate Architect / Developer / Data Engineer / AI Track  

Must have familiarity with streaming architectures and real-time data processing  

Must have developed, delivered and operated microservices on AWS   

Understanding of ML/AI ethics and responsible AI development  

Knowledge of semantic search and embedding models  

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status.   

We are Siemens   

A collection of over 377,000 minds building the future, one day at a time in over 200 countries. We're dedicated to equality, and we welcome applications that reflect the diversity of the communities we work in. All employment decisions at Siemens are based on qualifications, merit, and business need. Bring your curiosity and creativity and help us shape tomorrow! We offer a comprehensive reward package which includes a competitive basic salary, bonus scheme, generous holiday allowance, pension, and private healthcare.   

Siemens Software. ‘Transform the everyday'   

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#LI-Hybrid,   

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