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Sr. Staff Software Engineer - AI-Augmented Full Stack
Ge Vernova
Lead AI‑augmented full‑stack development, architecture, and team guidance
8d ago
Expert & Leadership (13+ years), Experienced (8-12 years)
Full Time
Bengaluru, Karnataka, India
Hybrid
Company Size
76,800 Employees
Service Specialisms
Energy Services
Digital Solutions
Sustainability
Smart Grid Technologies
Consulting
Sector Specialisms
Power
Gas Power
Steam Power
Nuclear
Hydro Power
Wind
Onshore Wind
Offshore Wind
Role
What you would be doing
ai architecture
full stack
agentic workflows
api development
testing strategy
mentorship
- Architect and implement sophisticated full stack applications incorporating advanced AI capabilities such as natural language processing, computer vision, and predictive analytics
- Architect and implement agentic workflows that enable autonomous AI systems to perform complex, multi-step tasks with minimal human intervention
- Collaborate closely with external development teams, conducting code reviews, technical assessments, and integration planning
- Design and implement advanced RAG (Retrieval-Augmented Generation) systems and multi-modal AI architectures
- Lead the development of complex RESTful APIs and microservices with enterprise-grade AI integrations
- Evaluate and integrate emerging AI technologies and tools to maintain competitive advantage
- Drive technical decision-making across projects, establishing patterns and best practices for AI-augmented development
- Lead technical due diligence and integration planning for third-party AI services and contractor deliverables
- Establish and enforce comprehensive testing strategies for AI-integrated features, including advanced prompt regression testing and model performance validation
- Establish monitoring, observability, and cost management frameworks for AI systems at scale
- Lead the design and architecture of enterprise-scale full stack applications using modern frameworks and AI-assisted development workflows
- Provide mentorship to junior engineers and guide technical growth across the organization
- Provide technical oversight and mentorship for third-party contractors, ensuring deliverables meet architectural standards and integrate seamlessly with internal systems
- Contribute to technical strategy and roadmap planning for AI-native product development
- Drive adoption of AI development best practices while maintaining high standards for code quality and system reliability
What you bring
llm
langchain
kubernetes
aws
react
master's
- Deep understanding of enterprise RAG architectures, semantic search optimization, and conversation memory management at scale
- Expertise with multiple LLM providers and advanced AI orchestration frameworks (LangChain, LlamaIndex)
- Experience with technical oversight, code review processes, and quality assurance methodologies
- Strong experience with cloud platforms (AWS, GCP, or Azure) and advanced containerization (Docker, Kubernetes)
- 4+ years of experience with modern front-end frameworks (React, Vue, or Angular) and advanced state management
- Experience with AI observability tools, cost optimization, and performance monitoring at enterprise scale
- Familiarity with agentic workflows and autonomous AI system design patterns
- Demonstrated experience leading technical teams and providing guidance to external contractors or vendors
- Track record of building and scaling AI-powered features for 100k+ users
- Experience with multi-modal AI integration and advanced model fine-tuning
- 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
- Expert in Agile Development
- 7+ years of programming using JavaScript/TypeScript and at least one backend language (Python preferred, Node.js, Java, or Go)
- 8+ years of non-internship professional software development experience
- Advanced experience with prompt engineering, model optimization, and understanding of AI system limitations
- Must be willing to work out of an office located in Bangalore JFWTC Campus
- Master's degree in computer science, AI/ML, or equivalent advanced technical education
- Bachelor’s Degree in Computer Science, Electrical Engineering, Aerospace Engineering, or related disciplines
- Experience with agent architectures, autonomous AI systems, and advanced agentic workflow implementations
- Proven track record shipping complex production applications that incorporate LLMs or AI services at enterprise scale
Information not given or found
Training + DevelopmentInformation not given or found
Interview process
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Security clearanceInformation not given or found
Company
Overview
April 2024
Founded
The company emerged from the spin-off of GE's energy units in April 2024.
>$10B Quarterly Revenue
Revenue Growth
Achieves over $10 billion in quarterly revenue, driven by demand for power infrastructure and digital solutions.
$3B
Wind Turbine Backlog
Maintains a significant backlog in wind turbine orders, reflecting strong market demand.
25%
Global Electricity Supply
Contributes to generating 25% of the world’s electricity through its installed turbines and grids.
- Traces roots back to Edison and Alstom, merging power, renewable, digital & financial wings.
- Headquartered in Cambridge, MA, crafts large-scale gas turbines, SMRs, wind turbines, hydro and grid tech to fuel economies.
- On the nuclear front, advancing small modular reactors (like BWRX‑300) in partnership with utilities and supporting semiconductor projects.
- Wind prowess spans onshore, offshore and blade making—with key sites like Dogger Bank offshore and blade plants in Spain.
- Electrification arm tackles grid stability: HVDC, transformers, storage, conversion, plus GridOS software powering smarter infrastructure.
- Weaves finance and consulting through energy-infrastructure investments, funding solar farms to pipelines via GE Energy Financial Services.
- Relentlessly focused on advancing the world’s transition to cleaner, more sustainable energy.
- Believes in working with customers, partners, and communities to create innovative energy solutions that make a meaningful difference.
- Prioritizes excellence, integrity, and accountability in everything they do.
- Committed to driving real change through technology and partnerships that will transform the global energy landscape.
2050 target
Net zero commitment
Committed to achieving net zero carbon emissions by 2050.
- Focused on reducing emissions through advanced energy technologies.
- Maximizing use of renewable energy sources and leveraging digital solutions for energy efficiency.
- Solutions aim to decarbonize industries and help customers meet their sustainability goals.
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