813 Software Engineer jobs in Ballston Spa,NY

Software Engineer - AI

GE Vernova

Niskayuna, NY 12309

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.
For Cambridge, MA based resources, this position includes a required three-month (hybrid) onboarding residency at the GE Vernova Advanced Research Center in Niskayuna, NY.
Travel, housing, and living stipend provided.
GE Vernova will only employ those who are legally authorized to work in the United States for this opening.
Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable).

Builders FirstSource

Ballston Spa, NY 12020

Hannaford Bros

Ballston Lake, NY 12019

Lowe's

Ballston Spa, NY

ALDI

Saratoga Springs, NY 12866

iLink Systems

Schenectady, NY 12309

MVP Healthcare

Schenectady, NY 12303

Bachelor's degree in Computer Science, Information Technology, or related field (or equivalent experience).
The availability to work full-time, hybrid, four days in office per week in Schenectady, or Rochester, NY
3-7+ years of software engineering experience with API development
Experience supporting enterprise integration, microservices, or distributed systems.
Strong experience with API technologies (REST, GraphQL, JSON, XML)
Proficiency in one or more languages (Java, .NET, Python, Node.js). Experience with cloud platforms (Azure preferred for MVP alignment).
Familiarity with API gateways, CI/CD pipelines, and DevOps practices.
Exposure to AI/ML concepts and integration patterns (model serving, inference APIs)