Generative AI Engineer

2-3 years hands-on experience required.

Work from Home! Compensation 8-9 LPA. Plus Please do not apply if compensation is not acceptable.

About Qubrid AI

Qubrid AI is a leading provider of high-performance GPU cloud infrastructure and advanced AI software solutions. We empower AI developers and engineers to solve complex, real-world problems by providing a complete AI platform. Our mission is to democratize advanced AI, making it accessible, scalable, and enterprise-ready for innovators, researchers, and large enterprises. We offer a comprehensive platform that includes GPU compute, an AI Model Studio, and tools for fine-tuning, RAG, and AI agent development, all with a focus on cost-efficiency and performance.

About The Role

As an AI Engineer at Qubrid AI, you will be a core member of our team, focused on developing AI and agentic applications and AI controller platforms. You will work on building production-ready generative AI projects and collaborate closely with our AI / ML, software, hardware, and product teams. Your contributions will be central to building the platform and creating lasting relationships with vendors and clients.

Key Responsibilities

Design, develop, and deploy production-ready AI agents and AI-driven solutions.

Work on AI-Driven projects, translating business requirements into technical solutions.

Apply expertise in various agentic frameworks to build robust and reliable systems.

Utilize deep knowledge of cloud platforms for scalable and secure AI deployments.

Optimize and fine-tune models to enhance performance and efficiency.

Implement and manage inference pipelines for deployed models.

Collaborate with cross-functional teams to integrate AI capabilities into client products.

Stay updated on the latest trends and tools in AI engineering and agentic workflows.

What We Are Looking For

Experience : 2-3 years of hands-on experience in AI / ML engineering or a related field.

Agentic Frameworks : Strong grasp of agentic frameworks (e.g., LangChain, LangGraph, AutoGen, CrewAI) and their application in building production-ready agents.

Core Skills : Demonstrated ability to build and deploy end-to-end AI-driven solutions.

Inferencing : Knowledge and practical experience with model inferencing and optimization techniques.

Fine-Tuning : Solid understanding and hands-on experience in fine-tuning large language models.

Communication : Strong problem-solving, communication, and teamwork skills, with the ability to work on client-facing projects.

Cloud Expertise : Experience with major cloud platforms (AWS, GCP, or Azure) is a plus.

Our Ideal Candidate

An AI Engineer who is passionate about building, shipping, and maintaining production-grade AI applications. You are a hands-on builder who can translate fine-tuning, inferencing, and agentic framework knowledge into tangible, AI-Driven solutions.