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# AI Software Engineer

- **Company:** GE Vernova
- **Location:** Schenectady, NY, United States
- **Experience:** Expert
- **Salary:** $145,400.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Artificial Intelligence, Amazon Web Services, Application Integration Architecture, Microsoft Azure, Computer Programming, Computer Engineering, Python (Programming Language), Node.Js, ReactJS, Large Language Models, Grafana, Vue.js, AI Platforms, AngularJS, Information Technology, Performance Monitor, Front End Software Development
- **Published:** August 5, 2026
- **Apply:** https://find.jobs/jobs-near-me/apply/ats-redirect/?id=2911248419-2

## About the Role

* Bachelor's degree in Computer Science, Computer Engineering, or related technical field.
 * 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).
 * Proven track record designing and shipping production applications that incorporate LLMs or AI services at scale.
 * Experience with vector databases (e.g. Milvus, Pinecone, Weaviate, pgvector) and advanced embedding model optimization in production applications.
 * Expertise with multiple LLM providers and advanced AI orchestration frameworks (LangChain, LlamaIndex, custom frameworks).
 * Extensive experience leading technical teams, driving cross-team initiatives, and providing technical mentorship.
 * Expert-level experience with cloud platforms (AWS, GCP, or Azure) and advanced containerization (EKS)., * Must be willing to work out of an office located in Niskayuna, NY or Cambridge, MA., * 13+ years of full software development lifecycle experience, including architecture design, technical leadership, and large-scale system optimization.
 * Advanced understanding of enterprise RAG architectures, semantic search optimization, and conversation memory management at massive scale.
 * Experience with multi-modal AI integration, model fine-tuning, and deployment of custom AI models.
 * Experience with AI observability tools, cost optimization strategies, and performance monitoring at enterprise scale.
 * Experience with cross-organizational collaboration and influencing other teams' directions and road maps.
 * Experience with technical strategy development and technology roadmap planning.

## Description

* Set AI architecture and technical vision across products.
 * Lead cross-team initiatives with product and data science.
 * Design RAG and agent workflows; optimize LLM integrations.
 * Build multi-tenant, high-availability systems with observability.
 * Establish AI cost management, monitoring, and security standards.


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