About this role
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 a highly skilled AI Engineer to spearhead our internal automation initiatives.
The successful candidate will be responsible for architecting and maintaining high-performance 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. Essential Skills
Automation Platforms:
Expert-level proficiency in n8n is mandatory. Candidates must demonstrate experience building state-aware, looping, and complex workflows.
Programming:
Strong 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.
Cloud Infrastructure:
Familiarity with cloud ecosystems such as AWS, Google Cloud Platform (GCP), or Microsoft Azure.
Data Engineering:
Experience with Python for data pipelines or ETL processes.
Technology Stack
The successful candidate will operate within the following technical environment:
Core Orchestration: n8n
AI Models: OpenAI API, Anthropic API, Custom offline models
Scripting: TypeScript, Node.js, Python
Databases: PostgreSQL, Vector Stores
Integration: REST APIs, GraphQL, Webhooks
Qualified candidates are invited to submit their professional Resume/CV
Note: To expedite your application, please include a brief description or portfolio link demonstrating a complex n8n workflow or AI agent you have previously architected.
Full-time : 5 pm to 2 am or 8 pm to 5 am
Part time: 5 pm to 9 pm