AI Developer

Résumé du poste

The AI Developer will design and build scalable, production-ready AI applications by integrating machine learning models and generative AI capabilities. They will also collaborate with cross-functional teams to implement automated testing, monitoring, and secure data-processing workflows.

Détails du poste

Location: Toronto or Montreal. A leading North American financial institution is seeking an AI Developer to build software solutions that incorporate artificial intelligence and machine learning capabilities. The successful candidate will work with product, data, platform, and engineering teams to develop secure, scalable, and production-ready AI applications. 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. Qualifications Experience in software development with Python and/or another modern programming language. Experience developing APIs, services, and production applications. Familiarity with machine learning, natural-language processing, or generative AI. Experience with cloud platforms, databases, version control, and CI/CD. Understanding of software testing, security, and application architecture. Strong analytical and problem-solving skills. Preferred Skills Experience with large language models, prompt engineering, RAG, embeddings, or vector databases. Familiarity with frameworks such as LangChain, LlamaIndex, Semantic Kernel, or comparable tools. Experience with MLflow, model evaluation, or model-serving platforms. Knowledge of financial services, data privacy, and regulated environments.

Ce que vous ferez

The AI Developer will design and build scalable, production-ready AI applications by integrating machine learning models and generative AI capabilities. They will also collaborate with cross-functional teams to implement automated testing, monitoring, and secure data-processing workflows.

Exigences

Candidates should have experience in software development using Python and modern programming languages, along with familiarity in cloud platforms and API services. A strong understanding of machine learning, natural language processing, and software architecture is required for this role.

Compétences indiquées

• CI/CD · Souhaitée
• Tests automatisés · Souhaitée
• Apprentissage automatique · Souhaitée
• prompt engineering · Souhaitée
• Python · Souhaitée

Autres compétences pertinentes

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

• Python
• Artificial Intelligence
• Machine Learning
• Generative AI
• API Development
• Cloud Platforms
• Software Architecture
• Automated Testing
• Data Processing
• Prompt Engineering
• Large Language Models
• LangChain
• LlamaIndex
• CI/CD
• Version Control
• Vector Databases
• Software Solutions
• Large Language Modeling
• Responsible AI
• Vector Database
• Generative Artificial Intelligence
• Semantic Kernel
• MLflow
• Workflow Management
• Data Privacy
• Application Programming Interface (API)
• Agile Methodology
• Applications Of Artificial Intelligence
• Software Testing
• Applications Architecture
• Enterprise Application Integration
• Business Logic
• Software Development
• Test Automation
• Code Review
• Continuous Improvement Process
• Financial Services
• Governance
• Scalability
• Problem Solving
• Python (Programming Language)
• Language Experience Approach
• Natural Language Processing (NLP)
• Performance Measurement
• Troubleshooting (Problem Solving)
• Enterprise Application Software

Domaines d’emploi

• Technology
• Software
• Data & Analytics
• Finance & Accounting
• Engineering
• UI Developer
• Software Developer / Engineer
• Software Developers