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 
• 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 
• Build 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 

• 4+ 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 supervising 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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