GE Vernova

Sr SW engineer- AI/ML

GE Vernova  •  Republic of India (Onsite)  •  28 days ago
Apply
AI can make mistakes so check important info. Chat history is never stored.

Job Description

Job Description Summary

As a Staff AI 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 make technical decisions end-to-end, balancing reliability, performance, and cloud cost for AI systems.

You will partner with globally distributed teams to engage, intervene and accelerate assimilation of AI into Grid SW services activities that drive tangible outcomes

Job Description

Key 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.

Required Qualifications:

  • Bachelor’s degree in computer science, Computer Engineering, or a related technical field.
  • 10+ 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.
  • Demonstrated experience of driving at least 5 projects with strong AI & ML engagement
  • 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.
  • Strong trouble shooting skills
  • Good communication skills and prior experience of working with globally distributed teams ​

Preferred Qualifications:

  • Experience in AI/ML, including architectural design, technical leadership, and system optimization.
  • Having a master's degree or equivalent in AI is a plus.
  • Experience with modern integration frameworks (SOAP, Rest, MuleSoft, ) 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.

Additional Information

Relocation Assistance Provided: Yes

GE Vernova

About GE Vernova

GE Vernova is a purpose-built energy technology company on a mission to electrify to thrive and decarbonize the world.

It is made up of three businesses -- Power, Wind, and Electrification -- with focus on 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.

The world needs more energy, smarter energy. With energy demand expected to grow by more than 50% in the next 20 years, we are continuously innovating to meet the moment…like we have for the past 130 years. The Energy of Change and relentless optimism are what drive us – it’s about never giving up and seeing what’s possible so that we deliver the energy technologies the world needs right now and for generations to come.

GE Vernova’s attitude and edge is embedded in its name. We retain our treasured legacy, “GE,” 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.

Together, we have the energy to change the world.

Industry
Energy & Utilities
Company Size
10,000+ employees
Headquarters
Boston, Massachusetts
Year Founded
Unknown
Social Media