Applied AI Engineer (Generative AI & Agentic Apps) | Montreal, QC (100% Onsite)
Location: Montreal, QC, Canada (100% onsite, no remote or hybrid)
Interview: May require an in-person interview
About the Role
We’re looking for a hands-on Applied AI Engineer to help business and technology teams move Generative AI use cases from idea to working software at a major financial institution. You’ll join discovery discussions, build and test prototypes, integrate AI capabilities into existing applications, and support the application teams that sponsor them.
What You’ll Do
- Take part in discovery with business and technology teams to shape Generative AI use cases
- Build and test prototypes, proofs of concept, and reference implementations
- Integrate AI capabilities with existing enterprise applications, data platforms, and APIs
- Build AI agents, orchestration workflows, and tool integrations
- Support sponsoring development teams with practical implementation help
- Test and evaluate AI solutions for quality, safety, reliability, and performance
Required Qualifications
- 3 to 5 years of software engineering experience with hands-on application development
- 1 to 3 years building Generative AI applications, assistants, agents, copilots, or intelligent automation
- Proficiency in Python, with experience building APIs, integrations, and enterprise applications
- Working knowledge of LLMs, prompt engineering, embeddings, vector databases, semantic search, and RAG
- Hands-on experience with AI frameworks such as LangGraph, LangChain, Claude Code SDK, or OpenAI SDK
- Familiarity with Model Context Protocol (MCP), AI gateways, agent-to-agent communication, or tool-calling frameworks
- Experience with GitHub, CI/CD pipelines, containers, and modern engineering practices
- Familiarity with Azure or AWS services for hosting applications and AI workloads
- Awareness of Responsible AI, AI governance, security controls, and enterprise data protection
- Strong communication, collaboration, and problem-solving skills, with the ability to turn business requirements into working software
Preferred Qualifications
- Experience with Azure AI Foundry, AWS Bedrock, Anthropic Claude, OpenAI GPT, Gemini, Grok, or similar platforms
- Experience building RAG solutions, knowledge assistants, or AI-powered search
- Exposure to multi-agent systems and orchestration workflows
- Integration experience with ServiceNow, Jira, Confluence, SharePoint, Microsoft Graph, Databricks, or Snowflake
- Familiarity with Kubernetes and cloud-native architectures
- Experience in financial services or another regulated industry
