Cognitive AI, LLM

About SAPSOL Technologies
SAPSOL Technologies Inc. is a Process-Centric Cognitive AI and Quantum Company focused on next-generation automation, enterprise intelligence, and process optimization.

Our Cognitive Innovation Lab in Mississauga develops and deploys applied AI, automation agents, and quantum optimization frameworks designed to enhance real-world enterprise systems.
We are a team of innovators committed to building scalable, cognitive technologies that redefine enterprise performance through AI and Quantum convergence.

We are seeking a part-time onsite intern to join our Cognitive Innovation Lab in Mississauga.

You will work directly with our Founder & CTO on developing AI agents, LLM-based workflows, automation models, and quantum optimization experiments.

This is a contract-to-hire opportunity with potential for increased hours or a full-time role based on performance and results.

The ideal candidate thrives under tight deadlines, delivers fast, accurate work, and demonstrates initiative and problem-solving capability in a high-performance environment.

Key Responsibilities

• Design, test, and deploy AI and automation workflows using LangChain, LangGraph, OpenAI APIs, and n8n
• Integrate AI and LLM components into existing PHP (Laravel) enterprise systems
• Develop and fine-tune LLMs (e.g., Llama, Mistral, GPT models) for specific business use cases
• Participate in quantum optimization (QUBO/QAOA) experiments for cost or resource modeling
• Prepare technical documentation, prototype summaries, and internal research reports
• Support rapid development and testing cycles under tight timelines

Requirements

Required Skills

• Proficient in Python, PHP (Laravel), JavaScript, and REST APIs
• Understanding of LLMs, Transformers, RAG pipelines, and prompt engineering
• Experience or familiarity with LangChain, LangGraph, and AI orchestration tools
• Strong foundation in data handling (Pandas, NumPy, JSON) and version control (Git)
• Excellent time management, communication, and analytical skills
• Ability to perform onsite in Mississauga, manage multiple priorities, and deliver under pressure

Education
Open to students or recent graduates in:

• Computer Science, Software Engineering, AI/ML, Data Science, or related disciplines