Principal AI Engineer

GE Vernova, Inc.; Bengaluru; On-site; INR 3,500,000 - 7,500,000; Full time

Benefits offered by this job

Relocation assistance provided

Job summary

GE Vernova, Inc. seeks a Principal AI Software Engineer to drive the technical vision and architect AI applications across initiatives. You will integrate LLMs, NLP, computer vision, and analytics, building secure, scalable AI platforms.

Mentoring teams and raising engineering standards in Agile, testing, security, and documentation are key aspects. You will lead cross-team efforts with product and data science, design RAG workflows, and ensure high availability and cost efficiency while guiding

Qualifications

• Bachelor’s degree in CS/CE or related technical field.
• 10+ years of programming experience with modern front-end frameworks and multiple backend languages.
• Proven track record shipping AI/LLM-enabled applications at scale.
• Experience with vector databases and embedding model optimization.
• Expertise with cloud platforms and advanced containerization (EKS).
• Strong communication, leadership and mentorship skills.

Responsibilities

• Design, build, deliver and maintain AI software applications and services with full lifecycle.
• Establish AI architecture and technical vision across products.
• Lead cross-team initiatives with product and data science.
• Design RAG and agent workflows; optimize LLM integrations.
• Build multi-tenant, observable, cost-efficient AI systems.
• Set AI cost management, monitoring, and security standards.
• Stay current with AI industry trends and upskill teams.
• Communicate AI strategy to stakeholders and guide programs.

Skills

Leadership

Communication

Mentorship

Cross-functional collaboration

Education

Bachelor's degree in CS/CE or related field

Tools

Python

React

Vue

Angular

Java

Go

Node.js

AWS

GCP

Azure

EKS

LangChain

LlamaIndex

Job description

Job Description Summary

As a Principal AI Software Engineer, you will drive technical vision and architect enterprise AI applications for multiple initiatives across the company. You will designs, program, document, test, and fixes bugs involved in creating and maintaining AI applications and frameworks. You’ll integrate LLMs, agent workflows, NLP, computer vision, and predictive analytics to build secure, high-availability and cost-efficient AI based solutions. You’ll partner with product, data science, and engineering leaders, mentor teams, and raise standards in Agile, testing, security, and documentation. We support growth, autonomy, and collaboration across research and product.

Job Description

Roles and Responsibilities

• Design, build, deliver and maintain AI software applications & services. Working in the areas of AI, cloud, platforms and/or application. Responsible for full software lifecycle including activities such as requirement analysis, documentation/procedures, implementation, and bug fixing.

• Establish AI architecture and technical vision across products.

• Lead cross-team initiatives with product and data science.

• Design RAG and agent workflows; optimize LLM integrations.

• Build multi-tenant, high-availability systems with observability.

• Establish AI cost management, monitoring, and security standards

• Stay informed of AI industry trends and guide teams to upskill on best practices.

• Communicate strategy and direction of AI application delivery to relevant stakeholders.

• Lead functional teams or projects with minimal resource requirements, risk, and/or complexity. Communicates difficult concepts and influence others' options on particular topics. Guide others to consider a different point of view.

Required Qualifications

• Bachelor’s degree in Computer Science, Computer Engineering, or related technical field.

• 10+ years of programming experience in a relevant language using modern front-end frameworks (React, Vue, or Angular) and multiple backend languages (Python preferred, Java, Node.js or Go).

• Proven track record designing and shipping production applications that incorporate LLMs or AI services at scale.

• Experience with vector databases (e.g. Milvus, Pinecone, Weaviate, pgvector) and advanced embedding model optimization in production applications.

• Expertise with multiple LLM providers and advanced AI orchestration frameworks (LangChain, LlamaIndex, custom frameworks).

• Extensive experience leading technical teams, driving cross-team initiatives, and providing technical mentorship.

• Expert-level experience with cloud platforms (AWS, GCP, or Azure) and advanced containerization (EKS).

• Strong oral and written communication skills. Strong interpersonal and leadership skills. Demonstrated ability to analyze and resolve problems. Demonstrated ability to lead programs / projects. Ability to document, plan, market, and execute programs.

Desired Characteristics

• 15+ years of full software development lifecycle experience, including architecture design, technical leadership, and large-scale system optimization.

• Advanced understanding of enterprise RAG architectures, semantic search optimization, and conversation memory management at massive scale.

• Experience with multi-modal AI integration, model fine-tuning, and deployment of custom AI models.

• Experience with AI observability tools, cost optimization strategies, and performance monitoring at enterprise scale.

• Experience with cross-organizational collaboration and influencing other teams’ directions and road maps.

• Experience with technical strategy development and technology roadmap planning.

Additional Information

Relocation Assistance Provided: Yes

GE Vernova is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.