Job Description

FUll Stack Development Intern (Agentic AI & Cloud-Native)


About Exeevo


Exeevo is a global leader in AI-powered unified customer experience solutions specifically designed for the Life Sciences industry (Pharmaceutical, Biotech, and Medical Devices). Built on Microsoft Cloud technology (including Azure), our platform unifies sales, marketing, and medical teams, enabling organizations to engage healthcare professionals and patients more effectively. Our mission is to accelerate digital transformation, deliver actionable insights through advanced analytics, and help our clients drive measurable business growth while ensuring data privacy and compliance

Internship Overview

We are seeking a highly driven and technically curious student for a Full Stack Development Internship. This unique role offers the opportunity to work across the entire product stack, from a modern, cross-platform UI (Flutter) to a sophisticated, highly-scalable Agentic AI backend deployed via Kubernetes. The ideal candidate thrives on complexity and is eager to learn about

multi-agent systems, container orchestration, and multi-model database design.

Requirements

Key Responsibilities

The intern will be deeply involved in both the frontend and complex backend development lifecycle:


Frontend (Flutter)

Develop new features and components for our cross-platform mobile/web application using the Flutter framework and the Dart language. Implement clean, responsive, and intuitive user interfaces (UI) that securely consume data and insights from the Agentic AI API. Assist with state management, testing, and ensuring high code quality for a unified multi-platform user experience. Handle media/audio capture for STT(Speech-to-Text) and TTS(Text-to-Speech)

Backend (Agentic AI & Cloud-Native)

Contribute to the design and development of the Agentic AI ecosystem and the underlying multi-agent architecture (e.g., creating and wiring up specialized agents). Implement and manage Agent-to-Agent (A2A) communication protocols to enable agents to collaborate autonomously on complex tasks. Implement and integrate MCP servers along with agent tools to support external API connections. Work within our Kubernetes (K8s) environment and Helm workflows to manage containerized microservices and ensure scalable, resilient deployment. Handle data persistence and querying across our cloud-native database stack, utilizing CosmosDB (NoSQL/JSON) for dynamic, unstructured data and Azure SQL for relational data needs. Implement robust testing, logging, and monitoring practices for the API and agent ecosystem. Manage platform permissions, as well as real-time channels (WebSocket/WebRTC) and background tasks for streaming

Required Qualifications

Current Enrollment: Currently pursuing a Bachelor's or Master's degree in Computer Science, Software Engineering, or any related field. Core Programming: Strong foundation in Object-Oriented Programming (OOP), with solid proficiency in Dart and Python. Agent Frameworks: Familiarity with LangChain, LangGraph, and an understanding of agentic orchestration models. Frontend Interest: Experience or strong interest in Flutter development and the Dart language. Database: Understanding of both relational (SQL) and NoSQL (JSON/Document) database concepts. Familiarity with CosmosDB is a plus. Cloud & Infrastructure: Basic understanding of REST API design principles. Familiarity with containerization concepts and orchestration (Kubernetes). Exposure to Azure or another major cloud provider. AI/ML: Conceptual understanding of Large Language Models (LLMs) and a strong enthusiasm to learn about Agentic AI systems and multi-agent coordination. * Familiarity with the life-sciences industry and CRM systems is considered a plus