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

Robust 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

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📌 Applied AI Engineer (Generative AI & Agentic Apps) - Onsite Only (Montreal)
🏢 Vivid soft Global
📍 Montreal