Generative AI LLM Engineer

3 weeks ago

India Qubrid AI Full time

Job Description

1-2 years hands-on experience required.

Work from Home Compensation 5.5-6 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 Neocloud 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: 1-2 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.

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