Artificial Intelligence (AI)

About Krazio Cloud

Krazio Cloud is a high-growth technology and innovation company operating in Work from home, India. Dedicated to delivering impactful digital solutions, the organization values agile execution, rapid product iteration, and continuous learning. Interns collaborate directly with seasoned technical leaders, contributing to meaningful projects that make a tangible impact across customer touchpoints and scalable systems.

About the Role

We are seeking a proactive and driven Artificial Intelligence (AI) to join our AI Agent Development team. This opportunity is structured as a Remote position based out of Work from home. In this role, you will apply theoretical knowledge to production challenges, collaborate with cross-functional colleagues, and help build reliable, performant solutions.

The selected candidate will receive structured guidance, participate in active sprint milestones, and gain end-to-end exposure to modern development lifecycles, team standups, and codebase management.

Key Responsibilities

• Design, evaluate, and deploy autonomous AI agents and structured reasoning pipelines.
• Implement Retrieval-Augmented Generation (RAG) architecture using vector databases and embedding models.
• Collaborate with backend engineers to integrate LLM tool-calling APIs into core product workflows.
• Benchmark prompt variations, model outputs, and latency metrics to ensure high accuracy and response safety.
• Build structured unit tests and evaluation harnesses for LLM prompts and agent decision boundaries.
• Document technical workflows, schema definitions, and implementation guidelines for internal knowledge bases.

Requirements & Qualifications

• Strong foundational proficiency in Python programming and asynchronous coding patterns.
• Demonstrated hands-on experience or coursework with LLMs, prompt engineering, or framework libraries (e.g., LangChain, LlamaIndex).
• Familiarity with vector embeddings, similarity search, and API integrations.
• Proactive mindset, eager to experiment with modern AI architectures and solve unstructured problems.
• Pursuing or completed a Degree in Computer Science, Data Science, AI, or equivalent practical project experience.