AI Engineer (Automation & Systems)

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.