Staff Software Engineer- AI/ML

gevernova; Bengaluru; Presencial; INR 400.000 - 650.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Relocation assistance provided

Descripción de la vacante

gevernova is seeking a Staff AI Engineer to lead enterprise full stack and AI platform architecture at scale. You will design and ship microservices and REST APIs, build RAG and multimodal LLM features, and set AI development standards.

You will partner with globally distributed teams to accelerate assimilation of AI into Grid SW services. The role requires leading technical teams, driving 5+ AI/ML projects, and strong cloud/container experience with AWS/Azure, Docker, and Kubernetes.

Formación

• Bachelor’s degree in computer science, Computer Engineering, or related field.
• 10+ years of experience with at least one general purpose language (Python preferred, Java, or Go) and front-end with JavaScript/TypeScript.
• Proven track record shipping production apps using LLMs/AI at scale.
• Experience leading technical teams and guiding external contractors/vendors.
• Driven at least 5 projects with strong AI/ML engagement.
• Strong cloud experience with AWS or Azure and advanced containerization (Docker, Kubernetes).
• Experience with oversight, code review processes, and QA methodologies.
• Strong troubleshooting skills and good communication for globally distributed teams.

Responsabilidades

• 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/partners.

Conocimientos

Python

Java

Go

JavaScript/TypeScript

LLM/AI services

Technical leadership

Distributed teams

Educación

Bachelor’s degree in CS/CE or related field

Master’s degree in AI (plus)

Herramientas

Docker

Kubernetes

AWS

Azure

LangChain

LlamaIndex

Milvus/Pinecone/Weaviate

MuleSoft

Descripción del empleo

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