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.
Qualifications :
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 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 your application please include a brief description or portfolio link demonstrating a complex n8n workflow or AI agent you have previously architected.
Remote Work :
No
Employment Type :
Full-time
Position OverviewOneScreen 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 successfu...
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.
Qualifications :
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 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 your application please include a brief description or portfolio link demonstrating a complex n8n workflow or AI agent you have previously architected.
Remote Work :
No
Employment Type :
Full-time
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