AI Engineering Intern

Role Overview

Tapza Technologies is a healthcare technology company building AI-powered software solutions for pharmacies, healthcare providers, and the broader healthcare ecosystem. We are looking for an enthusiastic and technically strong AI Engineering Intern to join our engineering team and work on real-world AI applications involving LLMs, Generative AI, AI Agents, RAG, Voice AI, OCR, and Open-Source AI Models.

Responsibilities

• Build LLM-powered applications and AI agents for real-world healthcare use cases.
• Design and develop agentic workflows using LangGraph and related frameworks.
• Build Retrieval-Augmented Generation (RAG) systems using embeddings, vector databases, retrieval, and reranking.
• Experiment with and integrate open-source LLMs such as Llama, Qwen, Mistral, Gemma, and other emerging models.
• Develop conversational AI applications integrating Speech-to-Text (STT), LLMs, and Text-to-Speech (TTS).
• Work on Real-Time AI and Low-Latency Systems, optimizing end-to-end AI pipelines.
• Integrate AI systems with APIs, databases, and vector databases.
• Write clean, modular, maintainable, and well-tested Python code.

Requirements

• Strong programming skills in Python.
• Good understanding of Machine Learning and Deep Learning fundamentals.
• Strong understanding or practical interest in LLMs and Generative AI.
• Familiarity with RAG, embeddings, and vector search.
• Familiarity with LangChain, LangGraph, or similar AI frameworks.
• Understanding of REST APIs and software engineering fundamentals.

Skills

• Python
• LLMs
• LangGraph
• Generative AI
• RAG