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Senior AI Developer - Boston Massachusetts
Company: Siemens AG Location: Boston, Massachusetts
Posted On: 05/02/2025
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 solutionsDesign, develop, and deploy AI applications that leverage LLMs for tasks such as natural language understanding, question-answering, and contextual content generationCreate and maintain robust APIs in Python for AI service integration and data processingWork with databases to model, store, and query complex connected data structuresDevelop data ingestion and transformation pipelines to process information from diverse sourcesDocument development processes, architecture, and APIs to ensure maintainability and knowledge sharingQualifications : - Bachelor's 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 teamsPreferred Skills :
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