AI Infrastructure & RAG Engineering Intern Company: Autokryx Technologies Private Limited Product: INSIDE — The Intelligence Layer for Higher Education Employment Type: Internship Work Mode: Hybrid Stipend: Up to ₹5,000/month, performance-based

About the Role
We are looking for an AI Infrastructure & RAG Engineering Intern to work closely with our engineering team on backend infrastructure, data systems, retrieval-augmented generation, semantic search, and AI-powered applications. This is a hands-on engineering role involving real product infrastructure, databases, APIs, cloud systems, and LLM pipelines. What You’ll Work On
- Design, develop, and maintain PostgreSQL databases
- Build database synchronization and data ingestion pipelines
- Develop REST APIs and backend services
- Work with Node.js / TypeScript / Deno
- Build and optimize RAG pipelines
- Implement embeddings, vector search, and semantic retrieval
- Work with pgvector and PostgreSQL-based vector infrastructure
- Develop prompt engineering and LLM workflows
- Build real-time data aggregation and processing systems
- Integrate and manage AWS cloud infrastructure
- Improve retrieval quality, latency, reliability, and scalability of AI systems
- Debug, test, document, and optimize production-oriented systems Required Skills
- Strong understanding of PostgreSQL and relational databases
- Familiarity with backend development and REST APIs
- Working knowledge of Node.js, TypeScript, or Python
- Understanding of Git and GitHub
- Basic understanding of AI/LLM applications
- Understanding of RAG, embeddings,



or semantic search
- Strong problem-solving and debugging ability Good to Have
- Experience with pgvector
- Experience building RAG applications
- AWS experience
- Deno experience
- Experience with vector databases
- Experience with real-time systems / WebSockets
- Experience with LLM APIs
- Knowledge of data pipelines and asynchronous processing
- Understanding of database indexing and query optimization Who Should Apply We are looking for someone who enjoys building systems , not just following tutorials. You do not need to know every technology listed above. Robust backend fundamentals combined with genuine hands-on experience in AI/LLM projects are highly valued. Candidates with personal projects, GitHub repositories, deployed applications, or previous experience building RAG/AI systems are encouraged to apply. Stipend Up to ₹5,000 per month — performance-based. Performance will be evaluated based on technical contribution, quality of implementation, ownership, consistency, problem-solving, and ability to deliver assigned engineering work. What You’ll Gain
- Hands-on experience building AI infrastructure
- Practical exposure to RAG and LLM systems
- Experience with PostgreSQL, pgvector, APIs, and AWS
- Exposure to production-oriented engineering practices
- Opportunity to work on a live AI product
- Direct collaboration with the core engineering team Application Please apply with your resume and GitHub/portfolio . Candidates may be asked to complete a technical assessment or technical discussion as part of the selection process.

📌 AI Infrastructure (New Delhi)
🏢 Autokryx Technologies
📍 New Delhi