Key Responsibilities
Design, develop, and maintain enterprise-grade Generative AI applications.
Build Retrieval-Augmented Generation (RAG) solutions using vector databases and enterprise knowledge sources.
Develop AI assistants, copilots, and intelligent workflows using LLMs and AI orchestration frameworks.
Integrate foundation models from providers such as OpenAI, Anthropic, Azure OpenAI, Google Gemini, and open-source models.
Design and implement REST APIs and microservices to support AI applications.
Collaborate with cross-functional teams to translate business requirements into technical solutions.
Optimize AI application performance, scalability, latency, and operational costs.
Implement prompt engineering, model evaluation, and AI guardrails to improve solution quality.
Follow software engineering best practices, including code reviews, automated testing, CI/CD, and DevOps.
Contribute to technical design discussions and architecture decisions.
Mentor junior engineers and promote engineering best practices within the team.
Stay current with emerging AI technologies and recommend improvements to existing solutions.
Required Qualifications
Bachelor's or Master's degree in Computer Science, Engineering, Artificial Intelligence, or a related field.
8+ years of software engineering experience, including hands-on experience with Generative AI technologies.
Strong proficiency in Python and SQL.
Experience building applications using Large Language Models (LLMs).
Hands-on experience with Retrieval-Augmented Generation (RAG) and vector databases.
Experience with AI orchestration frameworks such as LangChain, LlamaIndex, or Semantic Kernel.
Experience developing REST APIs and microservices.
Experience with Docker, Kubernetes, and cloud platforms (AWS, Azure, or GCP).
Strong understanding of software design principles, distributed systems, and cloud-native application development.
Experience with Git, CI/CD pipelines, and modern software development practices.
Strong analytical, problem-solving, and communication skills.
Relocation Assistance Provided: Yes
Skills Required
- Bachelor's or Master's degree in Computer Science, Engineering, Artificial Intelligence, or related field
- 8+ years of software engineering experience including hands-on Generative AI technologies
- Strong proficiency in Python and SQL
- Experience building applications using Large Language Models (LLMs)
- Hands-on experience with Retrieval-Augmented Generation (RAG) and vector databases
- Experience with AI orchestration frameworks such as LangChain, LlamaIndex, or Semantic Kernel
- Experience developing REST APIs and microservices
- Experience with Docker, Kubernetes, and cloud platforms (AWS, Azure, or GCP)
- Strong understanding of software design principles, distributed systems, and cloud-native application development
- Experience with Git, CI/CD pipelines, and modern software development practices
- Strong analytical, problem-solving, and communication skills
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.
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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.
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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.
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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.
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