Posted 20 days ago
Artificial Intelligence Engineer
@ G-FORCE IT SERVICES INC
Ontario
Overview
G-FORCE IT SERVICES INC is hiring a full-time Artificial Intelligence Engineer to develop, train, test and deploy AI and ML models for real-world applications. The work centres on Python, generative AI with LLMs and RAG, and integrating models with APIs and existing software. The posting requires 3 to 5 years of AI/ML or related development experience and a relevant degree.
Responsibilities:
- Develop, train, test and deploy AI/ML models
- Build AI-powered applications using Python
- Implement generative AI solutions using LLMs and RAG
- Integrate AI models with APIs and existing software
- Optimize model performance, scalability and reliability
Requirements summary:
- 3 to 5 years of AI/ML or related development experience
- Strong proficiency in Python
- Hands-on machine learning and deep learning experience
- Familiarity with TensorFlow, PyTorch or Scikit-learn
- Experience with REST APIs and model deployment
Tools & skills
Source and dates
Source type not verified · apify-linkedin
- Employer posting date
- 2026-10-21
- First seen by our source
- 2026-11-11
- Source record updated
- 2026-11-11
These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.
Job details
| Seniority | Mid level |
| Department | Software development |
| Experience | 3+ years |
| Hours per week | 40 (estimated) |
| Work setting | Office, Home |
| Position | Mostly sitting |
| Physical demands | physical low · computer high |
| Education | Bachelor’s degree (required), Master’s degree (preferred) |
| Fields of study | Computer Science, Artificial Intelligence, Machine Learning, Data Science |
Summary and details written by AI from the posting; the employer’s posting is the authority.
G-FORCE IT SERVICES INC
| Field | Value |
|---|---|
| Open jobs on Jobsy | 4 |
Responsibilities
- Develop, train, test, and deploy AI/ML models for real-world applications.
- Build AI-powered applications using Python and relevant ML frameworks.
- Implement Generative AI solutions using LLMs, prompt engineering, and RAG.
- Work with data preprocessing, feature engineering, and model evaluation.
- Integrate AI models with APIs and existing software applications.
- Optimize model performance, scalability, and reliability.
- Collaborate with cross-functional teams to deliver AI-driven solutions.
- Maintain code quality, documentation, testing, and deployment standards.
Required Skills
- 3–5 years of relevant experience in AI/ML engineering or related development.
- Strong proficiency in Python.
- Hands-on experience with Machine Learning and Deep Learning.
- Familiarity with TensorFlow, PyTorch, or Scikit-learn.
- Understanding of Generative AI, LLMs, NLP, and prompt engineering.
- Experience with REST APIs and model deployment.
- Knowledge of Git, Docker, and cloud platforms such as AWS, Azure, or GCP.
Preferred Skills
- Experience with RAG pipelines, embeddings, and vector databases.
- Familiarity with LangChain or LlamaIndex.
- Knowledge of MLOps, model monitoring, and CI/CD pipelines.
- Experience deploying production-ready AI applications.
Qualifications
- Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field.
Journal
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