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.Job Description
Responsibilities:
Design, Implement, Fix and Support AI Applications and Services.
Identify and deliver AI Reusable Services.
Ship resilient REST APIs and microservices.
Build RAG, Multimodal LLM features and Agents.
Design agentic workflows for autonomous tasks.
Mentor engineers and provide guidance to contractors and partners.
Maintain code quality through best practices, unit testing and code quality automation
Be responsible for providing technical leadership and defining, developing, and evolving software in a fast paced and agile development environment using the latest software development technologies and infrastructure
Required Qualifications:
Bachelor’s degree in computer science, Computer Engineering, or a related technical field.
12-15 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, RAG, MCPs and 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.
Preferred Qualifications:
Thorough 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.
Relocation Assistance Provided: Yes
Skills Required
- Bachelor's degree in Computer Science, Computer Engineering, or related technical field
- 12-15 years of experience with at least one general purpose programming language (Python preferred, Java, or Go)
- Front-end experience with JavaScript or TypeScript
- Proven track record shipping production applications incorporating LLMs, RAG, MCPs and AI services at scale
- Demonstrated experience leading technical teams and guiding external contractors or vendors
- Strong experience with cloud platforms (AWS, GCP, or Azure)
- Advanced containerization experience (Docker, Kubernetes)
- Experience with technical oversight, code review processes, and quality assurance methodologies
- Thorough experience in AI/ML architecture, system optimization and technical leadership
- Experience with modern front-end frameworks (React, Vue, or Angular) and advanced state management
- Experience with vector databases (Milvus, Pinecone, Weaviate, pgvector) and embedding model optimization
- Experience with multiple LLM providers and AI orchestration frameworks (e.g., LangChain, LlamaIndex)
- Experience with enterprise RAG architectures, semantic search, conversation memory management and scaling to 100k+ users
GE Vernova Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about GE Vernova and has not been reviewed or approved by GE Vernova.
-
Retirement Support — The 401(k) plan includes company matching contributions and additional company retirement contributions, with access to Fidelity resources and financial planning consultants. Feedback suggests this structure supports long-term savings beyond a basic match.
-
Parental & Family Support — Paid parental leave is available with flexible, continuous or non-continuous usage, and is complemented by adoption resources and Work/Life Connections guidance. Maternity leave is described as extended relative to typical workplace norms.
-
Leave & Time Off Breadth — Time-off programs include 12 paid holidays, permissive time off for many salaried roles, and dedicated personal, illness, and caregiving time for U.S. new hires. Some hourly roles start with a defined PTO bank, while other roles may offer unlimited time off.
GE Vernova Insights
What We Do
GE Vernova is a planned purpose-built company on a mission to electrify the planet while simultaneously working to decarbonize it. If we want our energy future to be different…we must be different. Our mission is embedded in our name. We retain our treasured legacy, “GE,” in our name as an enduring and hard-earned badge of quality and ingenuity. “Ver” / “verde” signal Earth’s verdant and lush ecosystems. “Nova,” from the Latin “novus,” nods to a new, innovative era of lower carbon energy that GE Vernova will help deliver. GE Vernova brings together GE’s portfolio of energy businesses including Power, Wind, Electrification and Digital businesses. With focus, GE Vernova is accelerating the path to more reliable, affordable, and sustainable energy, while helping our customers power economies and deliver the electricity that is vital to health, safety, security, and improved quality of life. Together, we have The Energy to Change the World.
Why Work With Us
Join our team, to evolve and grow, surrounded by some of the brightest minds in the industry who help you get better every day. You’ll get the chance to rewrite the rules, work on cutting-edge technology, and be part of a global team for positive change.
Gallery
