Generative AI LLM Engineer (AI/ML)

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.

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.

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.

• 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.

• 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.

• 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.