Cognitive AI, LLM
15 hours ago
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
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
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