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 build 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 

Solid understanding 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 multi-functional team members including DevOps, product, and frontend engineers 

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

Minimum experience requirements:

9+ 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 timely 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 every day '

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