Log in Sign up free
Apply now

Posted 12 days ago

Applied AI Engineer - Canada

@ Saransh Inc

View all jobs

Montréal, Quebec

Contract3+ years experience
Apply now
SIGNALS

Requirements summary:

  • Success in this role requires solid software engineering fundamentals, practical experience with AI application development, strong problem-solving skills, and the ability to communicate…
  • Required Qualifications
  • 3 to 5 years of software engineering experience with hands-on application development responsibilities.
  • 1 to 3 years of practical experience developing Generative AI applications, AI assistants, AI agents, copilots, or intelligent automation solutions.
  • Proficiency in Python and experience building APIs, integrations, and enterprise applications.
  • Working knowledge of Large Language Models (LLMs), prompt engineering, embeddings, vector databases, semantic search, Retrieval-Augmented Generation (RAG), and common AI application…

Tools & skills

PythonLangChainCommunication skillsTest automationData protectionGitHubCI/CDCollaborationProblem solvingMicrosoft AzureAWSServiceNowJiraAtlassian Confluence
Source and dates

Source type not verified · apify-linkedin

Employer posting date
2026-10-29
First seen by our source
2026-11-10
Source record updated
2026-11-10

These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.

Apply now

Saransh Inc

View all jobs
Job description
Applied AI-Engineer Montreal (Canada)

Role Overview And Expectations

Applied AI engineers are hands-on developers who work collaboratively with business and technology teams to accelerate the implementation of Generative AI use cases across Morgan Stanley. Team members participate in discovery discussions, build and test prototypes, integrate AI capabilities with existing applications, and provide practical implementation support to sponsoring application development teams. Success in this role requires solid software engineering fundamentals, practical experience with AI application development, strong problem-solving skills, and the ability to communicate clearly and work effectively across teams.

Required Qualifications

  • 3 to 5 years of software engineering experience with hands-on application development responsibilities.
  • 1 to 3 years of practical experience developing Generative AI applications, AI assistants, AI agents, copilots, or intelligent automation solutions.
  • Proficiency in Python and experience building APIs, integrations, and enterprise applications.
  • Working knowledge of Large Language Models (LLMs), prompt engineering, embeddings, vector databases, semantic search, Retrieval-Augmented Generation (RAG), and common AI application patterns.
  • Hands-on experience with one or more AI development frameworks, such as LangGraph, LangChain, , Claude Code SDK, OpenAI SDK, or similar technologies.
  • Familiarity with Model Context Protocol (MCP), AI gateways, agent-to-agent communication, or tool-calling frameworks.
  • Experience implementing AI agents, orchestration workflows, tool integrations, or agentic applications.
  • Experience building proofs of concept, prototypes, or reference implementations.
  • Experience integrating applications with enterprise systems, data platforms, and APIs.
  • Familiarity with automated testing and evaluation approaches for AI solution quality, safety, reliability, and performance.
  • Awareness of Responsible AI principles, AI governance, security controls, and enterprise data protection requirements.
  • Experience with GitHub, CI/CD pipelines, containers, and modern software engineering practices.
  • Familiarity with Azure or AWS services used to host and operate applications and AI workloads.
  • Ability to work with business stakeholders and application development teams to translate requirements into working software.
  • Strong communication, collaboration, and problem-solving skills.

Preferred Qualifications

  • Experience with Azure AI Foundry, AWS Bedrock, Anthropic Claude, OpenAI GPT models, SpaceX Grok Models, Gemini, or similar enterprise AI platforms.
  • Experience building RAG solutions, knowledge assistants, or AI-powered search capabilities.
  • Exposure to multi-agent systems and agent orchestration workflows.
  • Experience integrating applications with ServiceNow, Jira, Confluence, SharePoint, Microsoft Graph, Databricks, Snowflake, or similar enterprise platforms.
  • Familiarity with Kubernetes, containerized application deployment, and cloud-native architectures.
  • Experience working in financial services or another regulated industry.

Similar jobs

  • Applied AI Engineer

    Montréal, QC
    Full Time

    Mizo

    5+ YOERequired Qualifications; Proven experience shipping LLM-powered or agentic features to production — not just prototypes or notebooks; Ability to manage your own work independently and ship on time

    Debugging, Decision making, TypeScript, Python, Node.js, Work independently

  • Applied AI Engineer (Generative AI & Agentic Apps) - Onsite Only

    Montréal, QC
    Contract

    Vivid Soft Global

    3+ YOECandidates need 3 to 5 years of software engineering experience and 1 to 3 years building Generative AI applications or agents. Required skills include Python, LLMs, RAG, vector databases, AI frameworks such as LangChain or LangGraph, GitHub and CI/CD, and Azure or AWS. Awareness of Responsible AI and enterprise security is expected.

    Python, LangGraph, LangChain, GitHub, Azure, AWS

  • Applied AI Engineer

    Montréal, QC
    Full Time

    Foresight

    3+ YOECandidates need 3+ years shipping ML models in production and 1+ year shipping VLM/LLM features, with strong Python backend skills and Postgres data modelling. Experience with agentic workflows, RAG, data pipelines, async systems and AWS is needed.

    Python, FastAPI, Django, SQLAlchemy, AWS S3, AWS RDS

  • Applied AI Engineer

    Montréal, QC
    Full Time

    Norbert Health

    4+ YOENorbert Health needs candidates with 4+ years shipping ML or AI systems in production, strong Python and model deployment skills, and hands-on fine-tuning experience. A BS in a related field or equivalent hands-on experience is also expected.

    Vertex AI, SageMaker, Azure ML, TensorRT, vLLM, llama.cpp

  • Applied AI Engineer

    Montréal, QC
    RemoteFull Time

    Velixo

    Velixo needs candidates with production experience building on LLM APIs, experience building eval harnesses, and fluency with token accounting, context management and caching. Python or TypeScript proficiency and strong data analysis skills are required, plus clear writing for non-technical audiences.

    Langfuse, promptfoo

  • Senior Applied AI Engineer

    Montréal, QC
    Full Time

    Public Sector Pension Investment Board

    5+ YOECandidates need five or more years of hands-on production software or ML experience, including LLM applications at scale. They must be expert in Python, comfortable with JavaScript or TypeScript, and fluent in English and French.

    Databricks, Azure, AKS, Google Cloud Vertex AI, Claude Code, Codex

  • Applied AI Engineer

    Montréal, QC
    Full Time

    Simpro Software Canada ULC

    Candidates need hands-on experience building and integrating AI models into production software, strong engineering skills, and a fast, scrappy approach to solving complex integration problems. The role suits people who balance speed to deploy with high quality standards.

    APIs, microservices, feature store

Locations & environments

Locations

All of CanadaRemote · Hybrid · On-site · Field

Pro tip: add remote jobs to widen your search.

Exclude locations

Workplace type

Company jobs in these results

These are this company’s jobs loaded in your current search. The company may have more openings.