AI Development Consultant

Job summary

Develop AI solutions using large language models, AI agents, retrieval-augmented generation, and machine learning models. Build and test full-stack applications, collaborate with investment and technology teams, and support data engineering projects using cloud and deployment tools.

Job details

AI Developer Location: Toronto, ON In office requirement: 3 days per week Duration: 1+ year Must have: 8+ years of total experience Strong communication skills, ability to articulate thoughts / ideas to effectively collaborate with a variety of teams from both investments and technology Strong desire to work in a team-based and collaborative environment Strong programming skills (e.g. Python, SQL) Experience in developing with LLMs is a must. Must have hands on experience in building AI Agents, RAG models, and working with ML models. Full-stack programming experience with React/Angular, Python Flask Experience with automated testing Familiarity with CICD (Continuous Integration and Continuous Deployment) practices for data engineering projects Knowledge of cloud platforms (e.g., Azure, AWS, GCP) and related services Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes) Preference: Capital Market / Wealth Management / Banking experience Note: AI-enabled tools may be used to sort applications based on job-related criteria. All AI generated results are vetted by our team and the decision of which candidates move forward is always made by a human.

What you’ll do

Develop AI solutions using large language models, AI agents, retrieval-augmented generation, and machine learning models. Build and test full-stack applications, collaborate with investment and technology teams, and support data engineering projects using cloud and deployment tools.

Requirements

Requires at least eight years of total experience, strong programming skills in Python and SQL, and hands-on experience developing with large language models, AI agents, retrieval-augmented generation, and machine learning models. Candidates should also have full-stack experience with React or Angular and Flask, automated testing knowledge, familiarity with CI/CD, cloud platforms, Docker, and Kubernetes; capital markets, wealth management, or banking experience is preferred.

Listed skills

• Kubernetes · Preferred
• SQL · Preferred
• Automated testing · Preferred
• Collaboration · Preferred
• Angular · Preferred
• Docker · Preferred
• React · Preferred
• Machine learning · Preferred
• Communication · Preferred
• Python · Preferred
• Flask · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Python
• SQL
• Large Language Models
• AI Agents
• Retrieval-Augmented Generation
• Machine Learning
• React
• Angular
• Flask
• Automated Testing
• Continuous Integration And Continuous Deployment
• Cloud Platforms
• Docker
• Kubernetes
• Communication
• Collaboration

Job areas

• Technology
• Software
• Data & Analytics
• Finance & Accounting
• Consulting

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