Staff Software Engineer - AI/ML

RE1055 GE Renewable Energy Technologies Private Limited; Bengaluru; On-site; INR 3,000,000 - 5,000,000; Full time

Benefits offered by this job

Relocation assistance

Job summary

GE Renewable Energy Technologies Private Limited in Bengaluru seeks a Staff AI Engineer to lead enterprise full stack and AI platform architecture. You will design and ship microservices and REST APIs, build RAG and multimodal LLM features, and guide AI integration across Grid SW services.

The role requires 10+ years, strong Python/Java/Go, JavaScript/TypeScript, AWS/Azure, and Docker/Kubernetes experience. You will mentor teams and coordinate with globally distributed partners.

Qualifications

• Bachelor's degree in computer science, computer engineering, or related field.
• 10+ years of experience with at least one general purpose language (Python, Java, or Go) and front-end with JavaScript/TypeScript.
• Proven track record shipping production apps with LLMs/AI at scale.
• Experience leading technical teams and guiding external contractors.
• Experience driving 5+ AI/ML projects.
• Strong cloud experience (AWS or Azure) and advanced containerization (Docker, Kubernetes).
• Experience with code reviews, QA, and strong troubleshooting.
• Excellent communication with globally distributed teams.

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 guide contractors and partners.

Skills

Python

Java

Go

JavaScript/TypeScript

LLM/AI

AWS/Azure

Docker

Kubernetes

Leadership

Front-end

Education

Bachelor's degree in CS/CE

Tools

Docker

Kubernetes

MuleSoft

REST APIs

Job description

Job Description Summary

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 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 Addressing the climate crisis is an urgent global priority and we take our responsibility seriously. That is our singular mission at GE Vernova: continuing to electrify the world while simultaneously working to help 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. Together, we have The Energy to Change the World. www.gevernova.com