Publié avant-hier
Artificial Intelligence Engineer
@ Hays
Toronto, Ontario
SIGNAUX
Responsabilités :
- Develop production-grade AI applications using Python.
- Build Agentic AI workflows and LLM-powered solutions.
- Design and implement RAG architectures.
- Develop tool-calling capabilities and REST API integrations.
- Implement prompt engineering and structured outputs.
- Utilize LangGraph, LangChain, and Langfuse for AI orchestration and observability.
Résumé des exigences :
- The ideal candidate will have strong expertise in Python, Agentic AI, LLM-based applications, RAG, LangGraph, LangChain, and Langfuse, along with experience working on cloud platforms,…
- Required Skills:
- 10+ years of software engineering experience.
- If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion on your career.
- This posting is for an existing vacancy with the organization.
- AI may be used to screen, assess or select applicants for the position.
Source et dates
Type de source non vérifié · apify-linkedin
- Date publiée par l’employeur
- 2026-11-08
- Première détection par notre source
- 2026-11-10
- Mise à jour du dossier source
- 2026-11-10
Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.
| Champ | Valeur |
|---|---|
| Offres sur Jobsy | 261 |
Description
Contract Duration: 6 months
Pay Rate/Salary: $100/hr to $110/hr
Your New Role:
- We are seeking a Senior AI Engineer with 10+ years of experience to build and deploy production-grade AI solutions.
- The ideal candidate will have strong expertise in Python, Agentic AI, LLM-based applications, RAG, LangGraph, LangChain, and Langfuse, along with experience working on cloud platforms, preferably GCP.
Key Responsibilities:
- Develop production-grade AI applications using Python.
- Build Agentic AI workflows and LLM-powered solutions.
- Design and implement RAG architectures.
- Develop tool-calling capabilities and REST API integrations.
- Implement prompt engineering and structured outputs.
- Utilize LangGraph, LangChain, and Langfuse for AI orchestration and observability.
- Deploy solutions on GCP (preferred), AWS, or Azure.
- Support CI/CD pipelines and Docker-based deployments.
Required Skills:
- 10+ years of software engineering experience.
- Python.
- Agentic AI.
- LLM Applications.
- LangGraph, LangChain, Langfuse.
- RAG (Retrieval-Augmented Generation).
- Tool Calling.
- Prompt Engineering.
- REST API Integrations.
- GCP (Preferred), AWS or Azure.
- Docker & CI/CD.
- Data Science and Machine Learning Fundamentals.
Nice to Have
- Vertex AI.
- MLOps.
- Vector Databases (Pinecone, Weaviate, Chroma).
What You'll Get in Return:
- Opportunity to build and deploy production-grade AI solutions.
- Work on cutting-edge Agentic AI and LLM-based applications.
- Exposure to modern AI technologies and cloud platforms.
- Collaborate with highly skilled engineering teams on impactful AI initiatives.
What You Need to Do Now:
- If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now.
- If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion on your career.
This posting is for an existing vacancy with the organization.
AI may be used to screen, assess or select applicants for the position.
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