About usArvya Tech is a service-first AI & SaaS startup delivering production-grade AI solutions for multiple clients across industries. Our work focuses on building scalable, secure, and high-performance AI-powered applications rather than research prototypes. We are looking for a hands-on AI Engineer Intern who can work on end-to-end AI feature delivery, from design and implementation to deployment, monitoring, and optimization, while managing multiple projects in parallel.Internship Details- Role: AI Engineer Intern- Duration: 3 Months- Type: Unpaid Internship- Mode: Hybrid / Remote (as applicable)What You'll Work On- Assist in designing and developing LLM-based features (RAG, embeddings, vector search).- Contribute to building AI-powered backend services using Python.- Support deployment and monitoring of AI services on Microsoft Azure.- Help implement CI/CD pipelines for backend and AI workflows.- Work on improving system performance (latency, scalability, cost optimization).- Monitor applications using logs, metrics, and basic alerting systems.- Collaborate with engineering teams (frontend, backend, DevOps).- Participate in debugging, testing, and improving production systems.What You'll Learn- Real-world implementation of LLMs, RAG systems, and vector databases- Deployment of AI systems on Azure cloud- Backend development using FastAPI/Flask and async programming- Basics of CI/CD, monitoring, and production debugging- Exposure to scalable SaaS architecture- Working in a client-driven service environmentBasic Requirements- Basic proficiency in Python- Understanding of backend development concepts (APIs, async basics preferred)- Familiarity with AI/ML fundamentals or LLM concepts- Willingness to learn RAG, embeddings, and vector databases- Basic understanding of Git and development workflows- Robust problem-solving mindset and eagerness to learn- Good communication and teamwork skillsNice-to-Have (Not Mandatory)- Exposure to tools like LangChain or LlamaIndex- Basic knowledge of cloud platforms (Azure preferred)- Familiarity with Docker- Understanding of databases (PostgreSQL, MongoDB, Redis)What You Get- Hands-on experience working on production AI systems- Opportunity to contribute to real client projects- Mentorship from experienced engineers- Fast learning environment with practical exposure- Potential pathway to a full-time role based on performanceHow to ApplySend your resume along with a short note describing:- A project (AI, backend, or SaaS) you’ve worked on- (Optional) GitHub or portfolio linkEmail:Subject Line: 1112 – AI Engineer Internship