AI Engineer Intern (Automation & Systems)
- Compensation
- Not disclosed
- Location
- Islamabad, pk
- Work setup
- Not specified
- Seniority
- C level
- Employment
- Full time
- Experience
- Not specified
- Category
- Ai engineering
- Posted
Skills
Full 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 ResponsibilitiesWorkflow 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 SkillsAutomation 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 QualificationsAdvanced AI Orchestration:
Experience with frameworks such as LangChain or LangGraph.
Retrieval-Augmented Generation (RAG):
Knowledge of vector databases (Pinecone, Supabase, FAISS) and embedding strategies.