Posted:
3/1/2026, 10:09:25 PM
Location(s):
Bellevue, Washington, United States ⋅ Washington, United States
Experience Level(s):
Expert or higher ⋅ Senior
Field(s):
Software Engineering
Roles & Responsibilities:
Design and personally implement core components of AI agent frameworks, including orchestration engines, tool integration layers, and state management systems.
Build production-grade backend services in Python (and/or Java, C++, Go) to support AI inference, workflow automation, and real-time grid analytics.
Develop and deploy LLM-powered agents with structured prompting, tool usage, guardrails, and memory mechanisms.
Implement model serving infrastructure, including inference APIs, batching strategies, performance tuning, and monitoring.
Write scalable microservices and event-driven components that ingest and process high-volume time-series data.
Integrate AI services with SCADA, PMU, simulation engines, contingency analysis tools, and operational data platforms.
Optimize system performance for low-latency decision support in control center environments.
Build CI/CD pipelines, automated tests, and observability tooling for AI services.
Develop explainability, logging, and traceability mechanisms for AI-generated recommendations or actions.
Troubleshoot production issues across distributed AI systems and drive performance and reliability improvements.
Conduct deep code reviews and actively contribute high-quality code to shared repositories.
Education & Qualifications:
Master’s or PhD in Computer Science, AI/ML, or related field.
8+ years of hands-on software development experience, with significant backend engineering depth.
Demonstrated experience building and deploying AI/ML systems into production (not just experimentation).
Strong proficiency in Python and experience building backend systems in Java, C++, or Go.
Experience implementing LLM integrations, prompt orchestration, agent tooling, or multi-step AI workflows.
Deep understanding of distributed systems, concurrency, APIs, and microservices architecture.
Experience building model serving pipelines and inference systems (REST/gRPC, async processing, streaming).
Experience with containerization and orchestration (Docker, Kubernetes).
Strong debugging and performance optimization skills in distributed environments.
Experience working with time-series or streaming data systems.
Familiarity with EMS, DMS, WAMS, SCADA, or power system applications is highly desirable.
Proven track record of shipping reliable, secure, high-performance systems in production environments.
GE Vernova offers a great work environment, professional development, challenging careers, and competitive compensation. GE Vernova is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.
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).
Relocation Assistance Provided: Yes
For candidates applying to a U.S. based position, the pay range for this position is between $151,800.00 and $227,700.00. The Company pays a geographic differential of 110%, 120% or 130% of salary in certain areas. The specific pay offered may be influenced by a variety of factors, including the candidate’s experience, education, and skill set.
Bonus eligibility: discretionary annual bonus.
This posting is expected to remain open for at least seven days after it was posted on March 02, 2026.
Available benefits include medical, dental, vision, and prescription drug coverage; access to Health Coach from GE Vernova, a 24/7 nurse-based resource; and access to the Employee Assistance Program, providing 24/7 confidential assessment, counseling and referral services. Retirement benefits include the 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. Other benefits include tuition assistance, adoption assistance, paid parental leave, disability benefits, life insurance, 12 paid holidays, and permissive time off.
GE Vernova Inc. or its affiliates (collectively or individually, “GE Vernova”) sponsor certain employee benefit plans or programs GE Vernova reserves the right to terminate, amend, suspend, replace, or modify its benefit plans and programs at any time and for any reason, in its sole discretion. No individual has a vested right to any benefit under a GE Vernova welfare benefit plan or program. This document does not create a contract of employment with any individual.
Website: https://www.gevernova.com/
Headquarter Location: Boston, Massachusetts, United States
Employee Count: 10001+
Year Founded: 2021
IPO Status: Public
Last Funding Type: Grant
Industries: Energy ⋅ Energy Efficiency ⋅ Sustainability