Generative AI Engineer
Offre en anglaisThe engineer will design, build, and scale AI systems, Generative AI solutions, and intelligent agents. This includes delivering end-to-end AI solutions in production and integrating them into enterprise systems.
- Hybride
- Toronto, ON
- Publié 4 août 2026
- Postuler avant le 3 sept. 2026
- 1 poste
Résumé du poste
PrecisionERP/IT is seeking a Generative AI Engineer to design, build, and scale AI systems, Generative AI solutions, and intelligent agents. This is a 1-year contract position based in downtown Toronto. The selected candidate must be able to work onsite at least 3 days per week. Requirements: • Minimum 6+ years of experience in AI / GenAI / ML engineering within Azure cloud environments • Experience designing and delivering end-to-end AI solutions in production • Hands-on experience building Generative AI applications • Experience with Snowflake or enterprise data platforms • Experience fine-tuning and optimizing LLMs for enterprise use cases • Experience designing and implementing Retrieval-Augmented Generation architecture • Experience designing AI agents using frameworks such as LangChain, Semantic Kernel, and Azure OpenAI • Experience deploying scalable solutions on Azure Kubernetes Service • Strong Python programming skills • Experience building APIs • Experience with microservices architecture and enterprise system integration • Experience implementing Machine Learning Operations / MLOps practices
Ce que vous ferez
The engineer will design, build, and scale AI systems, Generative AI solutions, and intelligent agents. This includes delivering end-to-end AI solutions in production and integrating them into enterprise systems.
Exigences
Candidates need at least 6 years of experience in AI/ML engineering within Azure environments and proficiency in Python. Expertise in RAG architecture, LLM optimization, and MLOps practices is required.
Compétences indiquées
- PythonSouhaitée
Autres compétences pertinentes
Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.
- Generative AI
- Azure Cloud
- LLM Fine-tuning
- Retrieval-Augmented Generation
- LangChain
- Semantic Kernel
- Azure OpenAI
- Azure Kubernetes Service
- Python
- API Development
- Microservices Architecture
- MLOps
- Snowflake
- Machine Learning Engineering
Domaines d’emploi
- Technology
- Software
- Data & Analytics
- Engineering
- Consulting
Renseignements supplémentaires
- Expérience minimale
- 5+ ans
- Postuler avant le
- 3 sept. 2026
- Langue de l’offre
- anglais
- Heures de travail
- 40 heures par semaine
- Présence au bureau
- 3 jours par semaine
- Niveau d’expérience
- Associate
- Mode de candidature
- La candidature directe est offerte