AI Developer - Build Production-Ready AI Apps for Finance

Calliere Group; Toronto; On-site; CAD 90,000 - 130,000; Full time

Job summary

Calliere Group is seeking an AI Developer in Toronto or Montreal to design and implement AI-enabled applications and APIs. You will collaborate with product, data, platform, and engineering teams to productionize AI models, ensure security, and monitor performance.

The role requires hands-on Python development, API creation, and experience with ML/NLP or generative AI. Cloud, CI/CD, and data governance are important aspects of the work environment.

Qualifications

• Experience developing AI-enabled applications with Python and APIs.
• Familiarity with ML, NLP, or generative AI.
• Experience with cloud platforms, databases, version control, and CI/CD.
• Strong analytical and problem-solving skills.

Responsibilities

• Design and develop AI-enabled applications, services, and APIs.
• Integrate machine-learning models and generative AI capabilities into enterprise systems.
• Build data-processing, retrieval, evaluation, and model-integration workflows.
• Develop prompts, model interactions, and application logic for AI use cases.
• Implement automated testing, monitoring, logging, and performance measurement.
• Collaborate with data scientists, platform engineers, business analysts, and product owners.
• Apply security, privacy, responsible-AI, and governance practices.
• Troubleshoot application, integration, and model-related issues.
• Document technical designs, interfaces, and operational processes.
• Participate in code reviews, Agile ceremonies, and continuous improvement.

Skills

Python

APIs

ML/NLP

Cloud platforms

Databases

CI/CD

Security

Testing

Agile

Tools

LangChain

LlamaIndex

Semantic Kernel

MLflow

Job description

Calliere Group is seeking an AI Developer in Toronto or Montreal to design and implement AI-enabled applications and APIs. You will collaborate with product, data, platform, and engineering teams to productionize AI models, ensure security, and monitor performance.

The role requires hands-on Python development, API creation, and experience with ML/NLP or generative AI. Cloud, CI/CD, and data governance are important aspects of the work environment.