Data & AI Intern
Dallas
Saturday, 30 May 2026
We are looking for passionate Software Engineering Interns with a strong interest in Artificial Intelligence to work on the development of our next-generation, AI-driven applications for our global expansion. In this role, you will work closely with Product Managers, AI Architects, and Tech Leads to understand requirements, integrate advanced AI capabilities, and build/modify scalable full-stack applications. AI Integration & Development: Design and implement features powered by Large Language Models (LL - Ms), Generative AI, and Machine Learning APIs into our core web applications. Full-Stack Engineering: Develop efficient, secure, and real-time applications, peer-review code, and document solutions within an agile-blended software environment. AI Agent & Workflow Orchestration: Build and optimize conversational agents, Retrieval-Augmented Generation (RAG) pipelines, and prompt engineering workflows. Collaboration: Communicate proactively with teammates, AI research, infrastructure, security, and QA teams to continuously improve processes and engineering excellence. Required Skills:Education: Bachelor’s degree or higher (or currently pursuing) in Computer Science, Artificial Intelligence, Engineering, or a highly quantitative field. AI & LLM Foundational Knowledge:Hands-on experience or academic projects working with LLM APIs (OpenAI, Anthropic, Ollama, Hugging Face). Familiarity with RAG (Retrieval-Augmented Generation) architectures and prompt engineering. Understanding of vector databases (e.g., Pinecone, Milvus, Chroma, or pgvector). Backend & Concurrency (Java/ Spring):Strong experience with Spring Boot and MVC. Solid understanding of Core Java, multithreaded programming, and asynchronous task execution (essential for managing AI model call latency). Frontend (React/ Modern JS):Experience with JavaScript/ Type. Script, HTML 5, CSS, and modern client-side frameworks (preferably React. JS or Next.js for building AI chat interfaces and dashboards). Ability to work on real-time web applications (Web. Sockets, Server-Sent Events for streaming AI responses). Soft Skills & Mindset:Excellent problem-solving skills and a strong mathematical/logical foundation. Innovative drive and a passion for quick mastery of emerging AI technologies, frameworks, and tools. Self-motivated, naturally curious, and able to thrive in a fast-paced, client-focused environment. Skilled in technical writing, including documenting AI system architectures and data flows. Additional Skills:AI Frameworks: Experience with AI orchestration frameworks like Lang. Chain, Llama. Index, or Spring AI. Python: Familiarity with Python (the primary language for data science/ AI scripting) in addition to Java. Data & Databases:Experience writing SQL and stored procedures. Familiarity with relational databases (MySQL, Postgre. SQL) and NoSQL databases. DevOps & Deployment:Experience with Git, Maven, and CI/ CD tools (Jenkins, GitHub Actions). Familiarity with cloud platforms (AWS, Azure, or GCP) and Docker containers for deploying AI models/services. Basic knowledge of Unix/ Linux environments #L 1-MS 1