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# AI Software Engineer

- **Company:** GE Vernova
- **Location:** Cambridge, MA, United States
- **Experience:** Expert
- **Salary:** $145,400.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Databases, Computer Engineering, Memory Management, Python (Programming Language), Node.Js, Search Technologies, Software Engineering, ReactJS, Large Language Models, Backend, AngularJS, Kubernetes, Information Technology, Front End Software Development
- **Published:** August 22, 2026
- **Apply:** https://jobs.military.com/career/316648/principal-ai-software-engineer-new-york-ny-niskayuna

## About the Role

* Bachelor's degree in Computer Science, Computer Engineering, or related technical field.\n
 * 10+ years of programming experience in a relevant language using modern front-end frameworks (React, Vue, or Angular) and multiple backend languages (Python preferred, Java, Node.js or Go).\n
 * Proven track record designing and shipping production applications that incorporate LLMs or AI services at scale.\n
 * Experience with vector databases (e.g. Milvus, Pinecone, Weaviate, pgvector) and advanced embedding model optimization in production applications.\n
 * Expertise with multiple LLM providers and advanced AI orchestration frameworks (LangChain, LlamaIndex, custom frameworks).\n
 * Extensive experience leading technical teams, driving cross-team initiatives, and providing technical mentorship.\n
 * Expert-level experience with cloud platforms (AWS, GCP, or Azure) and advanced containerization (EKS).\n, * 13+ years of full software development lifecycle experience, including architecture design, technical leadership, and large-scale system optimization.\n
 * Advanced understanding of enterprise RAG architectures, semantic search optimization, and conversation memory management at massive scale.\n
 * Experience with multi-modal AI integration, model fine-tuning, and deployment of custom AI models.\n
 * Experience with AI observability tools, cost optimization strategies, and performance monitoring at enterprise scale.\n
 * Experience with cross-organizational collaboration and influencing other teams' directions and road maps.\n
 * Experience with technical strategy development and technology roadmap planning.\n



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