AI Intern (Internship cum Employment Program)

**Python Intern (AI Solutions) — Internship cum PPO** **Location:** Bangalore (In-Office, 5 days/week) **Role Type:** Internship (with PPO / employment opportunity based on performance) **Stipend:** Commensurate with industry standards **Perks:** Daily office meals \+ AQI \< 50 (yes, we checked) **About Us** 8byte builds AI infrastructure for intelligent enterprise use cases in the BFSI sector. Our mission is to help regulated industries reduce costs, boost efficiency, and unlock better decision-making using secure, scalable AI. With 50\+ years of collective experience in banking, fintech, and financial services, our founding team knows exactly where the pain points are, and we are building solutions that actually solve them. **The Role** We’re looking for a curious, driven **Python Intern** to join our AI Solutions team. You’ll get your hands dirty building real products, work closely with senior engineers, and contribute to critical AI infra components. This isn’t a pretend internship—you will be part of our core team from day one. **What You’ll Work On** * Data Parsing \& Cleaning: Write Python scripts to parse, transform, and wrangle structured and unstructured enterprise data for downstream AI consumption. * RAG \& Search Systems: Build end-to-end Retrieval-Augmented Generation (RAG) pipelines using vector databases (Pinecone, Qdrant, Chroma, pgvector) alongside traditional search engines (Elasticsearch, Solr) for hybrid search architectures. * AI Agents \& Multi-Agent Orchestration: Architect autonomous AI agents and complex multi-agent workflows capable of planning, dynamic tool-calling, state management, and multi-role collaboration. * LLM Routing \& Enterprise Cloud Orchestration: Build intelligent routing logic to dynamically direct queries across managed cloud platform suites—such as Azure AI Foundry, Amazon Bedrock, and Google Cloud Vertex AI—balancing cost, latency, and model availability. * API Development \& Microservices: Design and deploy fast, scalable REST/gRPC APIs using frameworks like FastAPI or Flask to seamlessly connect AI services with front-end applications. * Containerization \& Deployment: Containerize applications using Docker and Docker Compose to maintain consistent environment setups across local development, staging, and cloud production environments. * Testing, Debugging \& Evals: Write comprehensive unit tests for core backend services while establishing evaluation frameworks to benchmark agent performance and RAG retrieval accuracy. * Documentation: Maintain clear, developer-friendly architectural diagrams and API documentation—leaving behind sustainable engineering practices, not spaghetti code. * Exploration: Dive into emerging AI patterns, agentic frameworks, vector tech, and open-source libraries that move the needle for the product. **What You’ll Bring / Bonus Points For** * Practical experience integrating hyperscaler AI platforms (Azure AI Foundry, AWS Bedrock, GCP Vertex AI). * Hands-on experience with modern agent and RAG frameworks (LangChain, LangGraph, LlamaIndex, CrewAI, AutoGen). * Familiarity with vector databases and hybrid search architectures (combining BM25 keyword search with dense vector embeddings). * Proficiency with Docker, Docker Compose, and containerizing microservices for cloud deployment. * Solid understanding of prompt engineering, structured outputs, and dynamic tool/function calling. * Strong exposure to modern Python web frameworks (FastAPI, Flask, Django) and asynchronous programming. * Strong Git practices and familiarity with CI/CD workflows for AI infrastructure. **What You’ll Get** * Real-World Experience: Hands-on experience building enterprise-grade AI infrastructure in a high-growth startup. * Mentorship: Direct mentorship from senior engineers, researchers, and fintech veterans. * Pathway to PPO: Clear evaluation path for full-time employment (PPO) based on performance. * Culture \& Perks: A collaborative, supportive, no-BS team environment with daily office meals and breathable air. Ready to build the AI rails for the financial world? Apply now and let’s build something great together. **Note:** This is a paid internship.Skills: data cleaning,testing,elasticsearch,api development,data,flask,django,debugging,solr,python,rest apis,data parsing,documentation,git