Understanding of and expertise in:

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

Minimum experience requirements

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

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 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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