Sr. Staff Software Engineer - AI-Augmented Full Stack

Job Description Summary

We are seeking a highly experienced Sr. Staff Software Engineer who has mastered AI-augmented development to lead our engineering initiatives. This senior role requires someone who combines deep technical expertise with leadership capabilities, driving the development of scalable, innovative AI-native applications while providing technical oversight of both internal teams and third-party contractor work. You'll be responsible for architectural decisions, mentoring team members, and ensuring delivery excellence across complex AI-integrated systems. The position is responsible for driving the design and development efforts related to architecture, scalability, availability and performance in alignment with the product/application roadmap.
The ideal candidate will have 8+ years of professional software development experience with proven expertise in shipping production applications that leverage LLMs and AI services at scale. This role requires strong technical leadership, hands-on development skills, and the ability to guide external partnerships effectively.
As a GE Vernova accelerator, GE Vernova Advanced Research is driving strategy and leading research & development efforts to execute on the business's mission to help power the energy transition. We forge the collaborations and help invent the technologies required to electrify and decarbonize for a zero-carbon future.

Representing virtually every major scientific and engineering discipline, our researchers are collaborating with GE Vernova's businesses, the U.S. government, and more than 420 entities at the forefront of technology to execute on 150+ energy-focused projects. Collectively, these research programs and initiatives aim to solve near term technical challenges, deliver next generation product advances, and drive long term breakthrough innovation to enable more affordable, reliable, sustainable, and secure energy

Job Description

Key job responsibilities

As a Sr. Staff Software Engineer, you will lead complex technical initiatives while providing oversight and guidance across multiple development streams.

Technical Leadership & Architecture:

• Lead the design and architecture of enterprise-scale full stack applications using modern frameworks and AI-assisted development workflows
• Provide technical oversight and mentorship for third-party contractors, ensuring deliverables meet architectural standards and integrate seamlessly with internal systems
• Drive technical decision-making across projects, establishing patterns and best practices for AI-augmented development
• Collaborate closely with external development teams, conducting code reviews, technical assessments, and integration planning

• Architect and implement sophisticated full stack applications incorporating advanced AI capabilities such as natural language processing, computer vision, and predictive analytics
• Lead the development of complex RESTful APIs and microservices with enterprise-grade AI integrations
• Design and implement advanced RAG (Retrieval-Augmented Generation) systems and multi-modal AI architectures
• Architect and implement agentic workflows that enable autonomous AI systems to perform complex, multi-step tasks with minimal human intervention

• Provide mentorship to junior engineers and guide technical growth across the organization
• Expert in Agile Development
• Establish and enforce comprehensive testing strategies for AI-integrated features, including advanced prompt regression testing and model performance validation
• Drive adoption of AI development best practices while maintaining high standards for code quality and system reliability

• Evaluate and integrate emerging AI technologies and tools to maintain competitive advantage
• Lead technical due diligence and integration planning for third-party AI services and contractor deliverables
• Contribute to technical strategy and roadmap planning for AI-native product development
• Establish monitoring, observability, and cost management frameworks for AI systems at scale

• Bachelor's Degree in Computer Science, Electrical Engineering, Aerospace Engineering, or related disciplines
• 8+ years of non-internship professional software development experience
• 7+ years of programming using JavaScript/TypeScript and at least one backend language (Python preferred, Node.js, Java, or Go)
• 4+ years of experience with modern front-end frameworks (React, Vue, or Angular) and advanced state management
• Proven track record shipping complex production applications that incorporate LLMs or AI services at enterprise scale
• Advanced experience with prompt engineering, model optimization, and understanding of AI system limitations
• Familiarity with agentic workflows and autonomous AI system design patterns
• 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 Bangalore JFWTC Campus
• You must submit your application for employment on the careers page at www.careers.gevernova.com to be considered

• 13+ years of full software development life cycle experience, including architecture design, technical leadership, and system optimization
• Advanced experience with vector databases (Pinecone, Weaviate, or pgvector) and embedding model optimization
• Expertise with multiple LLM providers and advanced AI orchestration frameworks (LangChain, LlamaIndex)
• Deep understanding of enterprise RAG architectures, semantic search optimization, and conversation memory management at scale
• Experience with multi-modal AI integration and advanced model fine-tuning
• Track record of building and scaling AI-powered features for 100k+ users
• Experience with AI observability tools, cost optimization, and performance monitoring at enterprise scale
• Master's degree in computer science, AI/ML, or equivalent advanced technical education
• Experience with agent architectures, autonomous AI systems, and advanced agentic workflow implementations