Software Engineer Advanced- Python Major -Java AI

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 AI Backend Engineers to play a pivotal role in building our Agentic Workflow Service and Retrieval-Augmented Generation (RAG) Service. In this hybrid role, you'll leverage your expertise in both backend development and machine learning to create robust, scalable AI-powered systems using AWS Kubernetes, Amazon Bedrock models, AWS Strands Framework, and LangChain / LangGraph.

Key Requirements

• Design and implement core backend services and APIs for agentic framework and RAG systems
• LLM-based applications using Amazon Bedrock models
• RAG systems with advanced retrieval mechanisms and vector database integration
• Implement agentic workflows using technologies such as AWS Strands Framework, LangChain / LangGraph
• Design and develop microservices that efficiently integrate AI capabilities
• Create scalable data processing pipelines for training data and document ingestion
• Optimize model performance, inference latency, and overall system efficiency
• Implement evaluation metrics and monitoring for AI components
• 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 LLMs and AI agent architectures
  
  

Qualifications :

• 3 to 9 years of total software engineering experience
• Backend development experience with strong Python programming skills
• Experience in ML/AI engineering, particularly with LLMs and generative AI applications
• Experience with microservices architecture, API design, and asynchronous programming
• Demonstrated experience building RAG systems and working with vector databases
• LangChain/LangGraph or similar LLM orchestration frameworks
• Strong knowledge of AWS services, particularly Bedrock, Lambda, and container services
• Experience with containerization technologies and Kubernetes
• Understanding of ML model deployment, serving, and monitoring in production environments
• Knowledge of prompt engineering and LLM fine-tuning techniques
• Excellent problem-solving abilities and system design skills
• Strong communication skills and ability to explain complex technical concepts
• Experience in Kubernetes, AWS Serverless
• Experience in working with Databases (SQL, NoSQL) and data structures
• Ability to learn new technologies quickly
• Must have AWS certifications - Associate Architect / Developer / Data Engineer / AI Track
• Must have familiarity with streaming architectures and real-time data processing
• Must have experience with ML experiment tracking and model versioning
• Must have understanding of ML/AI ethics and responsible AI development
• Experience with AWS Strands Framework
• Knowledge of semantic search and embedding models
• Contributions to open-source ML/AI projects
  
  

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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