We are looking for a seasoned AI Developer with a deep understanding of Large Language Models (LLMs) and expertise in API development and data modeling. This position entails the design and implementation of advanced AI solutions for the DISW EDA portfolio, encompassing Board System, Verification, and Physical design feasibility and manufacturing. The ideal candidate will be skilled in integrating LLM technologies with robust data frameworks to drive innovation and efficiency in AI-driven applications.

Responsibilities:

Collaborate with SMEs , Product Management from EDA group on product adoption for GenAI based solutions

Design, develop, and deploy AI applications that leverage LLMs for tasks such as natural language understanding, question-answering, and contextual content generation

Create and maintain robust APIs in Python for AI service integration and data processing

Work with databases to model, store, and query complex connected data structures

Develop data ingestion and transformation pipelines to process information from diverse sources

Document development processes, architecture, and APIs to ensure maintainability and knowledge sharing

Qualifications:

- Bachelors or master’s degree in computer science, Data Science, Artificial Intelligence, or a related field

- 5-8+ years of professional experience in software development including SDLC

- 3+ years of experience developing AI applications with large language models (e.g., GPT-4, LLaMA, Anthropic Claude)

- Experience with retrieval-augmented generation (RAG) frameworks and applications

- Proficient in Python programming with extensive experience building and maintaining production-ready APIs ( FastAPI, Django , Flusk etc.)

- Hands-on experience with Vector Database (e.g. Chroma, Azure AI search) NoSQL Databases (e.g. MongoDB, Cosmos DB) including data modeling, query optimization, and application integration

- Familiarity with machine learning frameworks (TensorFlow, PyTorch) and MLOps practices

- Knowledge of cloud platforms (AWS, Azure, GCP) and deployment of AI models in production

- Excellent analytical and problem-solving skills, with keen attention to detail

- Strong communication skills and ability to work collaboratively in cross-functional teams

Preferred Skills:

- Understanding of DISW EDA portfolio

- Understanding of knowledge graphs and Graph Databases(e.g. Neo4j), and ontologies to structure and semantically integrate domain-specific knowledge, enhancing data interoperability.

- Knowledge of data governance, privacy, and security practices in AI applications

- Knowledge of MLOps practices, cloud platforms (AWS, Azure, GCP), and deployment of AI models in production.

- Familiarity with agile development methodologies

Why us?

Working at Siemens Software means flexibility - Choosing between working at home and the office at other times is the norm here. We offer great benefits and rewards, as youd expect from a world leader in industrial software.

A collection of over 377,000 minds building the future, one day at a time in over 200 countries. Were 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!

Siemens Software. Transform the Everyday with Us

The salary range for this position is $126,100 to $227,000 and this role is eligible to earn incentive compensation. The actual compensation offered is based on the successful candidate’s work location as well as additional factors, including job-related skills, experience, and relevant education/training. Siemens offers a variety of health and wellness benefits to employees. Details regarding our benefits can be found here: www.benefitsquickstart.com. In addition, this position is eligible for time off in accordance with Company policies, including paid sick leave, paid parental leave, PTO (for non-exempt employees) or non-accrued flexible vacation (for exempt employees).

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