About us
Arvya 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: 6 Months
- Monthly Stipend: ₹15,000
- Mode: Hybrid
- Location: Amaravathi, Vijayawada
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 environment
Basic 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
- Strong problem-solving mindset and eagerness to learn
- Good communication and teamwork skills
Nice-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 performance
How to Apply
Send your resume along with a short note describing:
- A project (AI, backend, or SaaS) you've worked on
- (Optional) GitHub or portfolio link
Email: [Confidential Information]
Subject Line:1112 – AI Engineer Internship
