AI Engineer Intern (Automation & Systems)

Company Description OneScreen is on a mission to revolutionize educational technology with a range of hardware and software solutions. We have experienced rapid growth in the last few years and are on the verge of expanding our product lines and exploring opportunities in new markets. OneScreen collaborates with various partners to provide customers with seamless and robust solutions. Job Description Position Overview OneScreen Solutions is a leading provider of EdTech infrastructure, dedicated to simplifying technology adoption for educational districts and enterprise organizations globally. We are seeking an AI Engineer for our internal automation initiatives. The successful candidate will be responsible for architecting and maintaining automation workflows. This role requires a hybrid skill set combining software engineering (TypeScript/JavaScript), API integration strategy, and the deployment of Large Language Models (LLMs) to create autonomous agents that drive operational efficiency. Key Responsibilities Workflow Architecture: Design, develop, and maintain complex automation pipelines using n8n to streamline business processes across sales, customer support, and operations. AI Agent Deployment: Engineer production-grade AI agents. Implement sophisticated tool-calling logic and reasoning capabilities to automate multi-step tasks. System Integration: Orchestrate seamless data flow between AI systems and core enterprise platforms, including CRMs, SQL databases, and third-party APIs. Prompt Engineering & Optimization: Develop and refine prompt strategies to ensure consistent, structured, and reliable outputs from LLMs. Performance Engineering: Monitor workflow latency, reliability, and cost efficiency. Custom Development: Write custom TypeScript/JavaScript code blocks within automation workflows to handle complex logic that exceeds native node capabilities. Qualifications Essential Skills Automation Platforms: Candidates must demonstrate experience building state-aware, looping, and workflows. Programming: Proficiency in JavaScript, specifically in the context of API manipulation and data transformation. AI & LLMs: Demonstrated experience integrating LLMs (OpenAI, Anthropic, Gemini) via API. Understanding of context windows, token management, and temperature settings. API Architecture: Deep understanding of RESTful services, webhooks, JSON data structures, and authentication standards (OAuth, Bearer Tokens). Database Management: Experience with SQL (PostgreSQL, MySQL) and an understanding of data modeling. Preferred Qualifications Advanced AI Orchestration: Experience with frameworks such as LangChain or LangGraph. Retrieval-Augmented Generation (RAG): Knowledge of vector databases (Pinecone, Supabase, FAISS) and embedding strategies. Data Engineering: Experience with Python for data pipelines or ETL processes. Technology Stack The successful candidate will operate within the following technical environment: AI Models: OpenAI API, Anthropic API, Custom offline models Scripting: TypeScript, Node.js, Python Databases: PostgreSQL, Vector Stores Integration: REST APIs, GraphQL, Webhooks Additional Information Qualified candidates are invited to submit their professional Resume/CV Note: To expedite the application process, please include a brief description of a complex AI agent you have previously designed and developed, along with a link to your portfolio, if available. Internship Timing: 8 pm to 5 am PKT Please note that this is a three-month Paid internship only.