Sr. Staff Software Engineer - AI-Augmented Full Stack
About The Position
As a Sr. Staff Software Engineer, you’ll lead enterprise full stack and AI platform architecture at scale for multiple initiatives across the company. You’ll design and ship microservices and REST APIs, build RAG and multimodal LLM features, and set standards for AI-assisted development. You’ll own technical decisions end-to-end, balancing reliability, performance, and cloud cost for AI systems. You’ll partner with internal teams and external contractors, mentor engineers, and run reviews and integrations. You’ll drive Agile practices, establish testing for prompts and model performance, and implement observability for AI features. We value autonomy, continuous learning, and measurable impact. If you’re unsure, we encourage you to apply.
Requirements
- Bachelor’s degree in computer science, Computer Engineering, or a related technical field.
- 8+ years of experience with at least one general purpose programming language (Python [preferred], Java, or Go) and front-end experience with JavaScript/TypeScript.
- Proven track record shipping production applications that incorporate LLMs or AI services at scale.
- Demonstrated experience leading technical teams and providing guidance to external contractors or vendors.
- Strong experience with cloud platforms (AWS, GCP, or Azure) and advanced containerization (Docker, Kubernetes).
- Experience with technical oversight, code review processes, and quality assurance methodologies.
- Must be willing to work onsite at the Niskayuna, NY office.
Nice To Haves
- 13+ years of experience in AI/ML, including architectural design, technical leadership, and system optimization.
- Experience with modern front-end frameworks (React, Vue, or Angular) and advanced state management.
- Experience with vector databases (e.g. Milvus, Pinecone, Weaviate, pgvector) and embedding model optimization.
- Experience with multiple LLM providers and advanced AI-orchestration frameworks (e.g. LangChain, LlamaIndex).
- Experience with enterprise RAG architectures, semantic search optimization, and conversation memory management at scale.
- Experience building and scaling AI-powered features for 100k+ users.
Responsibilities
- Identify and deliver reusable AI components for forward-deployed engineers.
- Ship resilient REST APIs and microservices.
- Build RAG and multimodal LLM features.
- Design agentic workflows for autonomous tasks.
- Mentor engineers and provide guidance to contractors and partners.
Benefits
- medical, dental, vision, and prescription drug coverage
- access to Health Coach from GE Vernova, a 24/7 nurse-based resource
- access to the Employee Assistance Program, providing 24/7 confidential assessment, counseling and referral services
- GE Vernova Retirement Savings Plan, a tax-advantaged 401(k) savings opportunity with company matching contributions and company retirement contributions, as well as access to Fidelity resources and financial planning consultants
- tuition assistance
- adoption assistance
- paid parental leave
- disability benefits
- life insurance
- 12 paid holidays
- permissive time off
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
