Publié le mois dernier
Senior AI Engineer (Permanent)
@ CoreFactor Inc.
Ontario
En bref
CoreFactor Inc. is hiring a Senior AI Engineer on a permanent full-time basis for its client's Data, AI & Analytics team. The role builds production-grade Generative and Agentic AI applications on existing LLMs, leads technical design, and mentors junior engineers. The position is hybrid, requiring four office days per week.
Responsabilités :
- Build production-grade GenAI and agentic AI systems using existing LLMs
- Design reusable AI platform components and agent frameworks
- Set best practices for evaluation, guardrails and LLM reliability
- Lead design and code reviews and mentor junior engineers
Résumé des exigences :
- Bachelor's or Master's in Computer Science, Data Science, AI, ML, Statistics or related field
- 4 to 8+ years in data science, ML or AI engineering with production systems
- Experience shipping agentic AI systems with multi-step reasoning and tool use
- Proficiency in Python and ML libraries
- Experience with AWS, Azure or GCP
Outils et compétences
Source et dates
Type de source non vérifié · zoho
- Date publiée par l’employeur
- 2026-09-26
- Première détection par notre source
- 2026-10-09
- Mise à jour du dossier source
- 2026-10-10
Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.
Détails du poste
| Niveau | Senior |
| Domaine | Développement logiciel |
| Expérience | 4 an(s) et plus |
| Heures par semaine | 40 (estimé) |
| Milieu de travail | Bureau |
| Position | Surtout assis |
| Exigences physiques | physique faible · ordinateur élevé |
| Langues | English |
| Formation | Baccalauréat (exigé), Maîtrise (préféré) |
| Domaines d’études | Computer Science, Data Science, Artificial Intelligence, Machine Learning, Statistics |
Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.
CoreFactor Inc.
| Champ | Valeur |
|---|---|
| Offres sur Jobsy | 18 |
CoreFactor is searching for a Senior AI Engineer on a permanent/full-time basis.
This position is hybrid and will require the successful incumbent to go into the office four (4) times per week.
We are seeking an experienced and technically strong Senior AI Engineer to join our clients Data, AI & Analytics team. This role focuses on the applied use of Generative AI and Agentic AI, leveraging existing large language models (LLMs) and platforms—not building models from scratch. As a senior member of the team, you'll take technical ownership of intelligent applications and automation tools that use LLMs to solve business problems, set best practices for the team, and mentor junior engineers, while partnering closely with business, engineering, and governance stakeholders to bring production-grade AI solutions to life.
KEY RESPONSIBILITIES:
Applied Generative & Agentic AI:
You'll be building the agents and GenAI systems that CI's advisors, analysts, and operations teams actually rely on day to day — not prototypes that stall out after the demo.
- Architect and build production-grade intelligent systems and applications using existing LLMs (e.g., OpenAI, Claude, Gemini, etc.) through API integration, prompt engineering, fine-tuning, or Retrieval-Augmented Generation (RAG).
- Design, prototype, and lead development of agentic AI systems capable of multi-step reasoning, task decomposition, and tool use to automate and support complex business workflows.
- Contribute to the design of a reusable, scalable AI platform (shared tooling, agent frameworks, and infrastructure) rather than one-off point solutions, so capabilities can be reused across use cases.
- Building web app AI solutions using frameworks such as React or Streamlit.
Monitoring & Improvement:
- Set technical direction and best practices for GenAI and agentic solution design, including evaluation methodology, guardrails, and reliability of LLM-powered systems.
- Drive continuous iteration and improvement of models and LLM-powered tools based on performance metrics, cost, and user feedback.
Technical Leadership & Best Practices:
- Lead design and code reviews, championing best practices around experimentation, reproducibility, and responsible AI.
Requirements
Education:
- Bachelor's or Master's degree in Computer Science, Data Science, AI, Machine Learning, Statistics, or a related field.
Experience:
- 4–8+ years of experience in a data science, machine learning, or AI engineering role, including hands-on experience delivering production systems.
- Demonstrated experience designing, building, and shipping agentic AI systems involving multi-step reasoning, task decomposition, and tool use.
- Experience designing around real-world infrastructure limitations—such as rate limits, quota management, retries/backoff, and cost-per-call—when architecting LLM-powered systems at scale.
Skills:
- Deep understanding of prompt engineering, RAG, fine-tuning, and evaluation of generative output, including tradeoffs across approaches.
- Proficiency in Python and ML/AI libraries (e.g., Scikit-learn, PyTorch, TensorFlow).
- Hands-on skills in designing and orchestrating agentic workflows (multi-step reasoning, task decomposition, tool/function calling).
- Excellent communication skills; able to present complex technical concepts clearly to both technical and non-technical stakeholders, including senior leadership.
- Experience with cloud-based environments (AWS, Azure, or GCP).
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