Staff AI Software Engineer

Posted Yesterday
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Bengaluru, Bengaluru Urban, Karnataka, IND
In-Office
Senior level
Energy • Manufacturing • Solar • Renewable Energy
GE Vernova is accelerating the path to more reliable, affordable, and sustainable energy.
The Role
Lead architecture, development, and production lifecycle of an AI platform: build AI agents and MCP servers, implement RAG and context/memory management, integrate LLMs, drive technical direction, mentor engineers, and ensure scalable, secure enterprise integrations.
Summary Generated by Built In
Job Description SummaryAs a Staff AI Engineer, you will lead the architecture, development, and end-to-end lifecycle of our AI platform and the underlying infrastructure that powers it. You will design and deploy AI agents and robust MCP (Model Context Protocol) servers that standardize data connectivity, skills, and tools. You will also own the full stack, from architectural design and clean code implementation to rigorous testing and production support. By balancing high-level system strategy with hands-on technical execution, you will ensure our agentic workflows are scalable, secure, and seamlessly integrated into the enterprise ecosystem.
You will partner with internal teams and external contractors to lead technical reviews, integrations, and delivery execution. You will drive Agile practices, establish testing approaches for prompts and model performance, and implement observability for AI features. We value autonomy, continuous learning, and clear business impact. If you are excited by this work but unsure whether you meet every requirement, we encourage you to apply.

Job Description

Responsibilities:

  • Collaborate with cross-functional teams (product, design, operations, infrastructure) to build AI-native application experiences
  • Build AI Agents, MCP Servers, Tools and integrate LLM / generative AI capabilities into products, including structured prompting, memory management and context management.
  • Implement retrieval-augmented generation (RAG) patterns (e.g., embeddings + retrieval) and contribute to context-aware and personalized user experiences
  • Drive end-to-end execution of medium-to-large features with independence, contribute to technical direction within the team
  • Mentor engineers; guide contractors and partners.

Required Qualifications:

  • Bachelor’s degree in computer science, Computer Engineering, or related technical field
  • 6+ years of experience using 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, MCPs 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 out of an office located in Niskayuna, NY.

Preferred Qualifications:

  • 10+ years of experience in Cloud Software Development, including architecture design, technical leadership, and system optimization
  • Experience with Strands, ADK or Agent development frameworks.
  • Experience with multiple LLM providers and advanced AI orchestration frameworks (e.g. Amazon Bedrock AgentCore, LangChain)
  • Experience with modern front-end frameworks (React, Vue, or Angular) and advanced state management
  • Experience with vector databases (e.g. pgvector) and embedding model optimization
  • 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

Skills Required

  • Bachelor's degree in Computer Science, Computer Engineering, or related technical field
  • 6+ years experience using at least one general purpose programming language (Python, Java, or Go)
  • Front-end experience with JavaScript/TypeScript
  • Proven track record shipping production applications that incorporate LLMs, MCPs, 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)
  • Advanced containerization experience (Docker, Kubernetes)
  • Experience with technical oversight, code review processes, and quality assurance methodologies
  • Willingness to work out of an office located in Niskayuna, NY
  • 10+ years of experience in Cloud Software Development, including architecture design and technical leadership
  • Experience with Strands, ADK, or Agent development frameworks
  • Experience with multiple LLM providers and AI orchestration frameworks (e.g., Amazon Bedrock AgentCore, LangChain)
  • Experience with modern front-end frameworks (React, Vue, or Angular) and advanced state management
  • Experience with vector databases (e.g., pgvector) and embedding model optimization
  • Experience with enterprise RAG architectures, semantic search optimization, and conversation memory management at scale
  • Experience building and scaling AI-powered features for 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.

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The Company
HQ: Cambridge, MA
75,000 Employees
Year Founded: 2024

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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