Sr SW engineer- AI/ML

OG1121 Meridium Services and Labs Private Limited; Hyderabad; On-site; INR 3,500,000 - 5,500,000; Full time

Benefits offered by this job

Relocation assistance provided

Job summary

OG1121 Meridium Services and Labs Private Limited invites a Staff AI Engineer to lead enterprise full-stack and AI platform architecture at scale. You will design microservices and REST APIs, build RAG and multimodal LLM features, and set standards for AI-assisted development.

You will collaborate with globally distributed teams, mentor engineers, and balance reliability, performance, and cloud cost for AI systems across Grid SW services activities that drive tangible outcomes.

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, GCP, 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.

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.

Skills

Python

Java

Go

JavaScript/TypeScript

LLMs/AI services

Team leadership

Education

Bachelor's degree in Computer Science or related field

Tools

Docker

Kubernetes

REST APIs

AWS

GCP

Azure

Job description

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.

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, GCP, 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