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Postuler

Publié il y a 22 jours

Applied AI Engineer

@ Astek

Toutes ses offres

Montréal, Québec

Temps plein3+ ans d’expérience
Postuler
SIGNAUX

Résumé des exigences :

  • 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…
  • Hands-on experience with one or more AI development frameworks, such as LangGraph, LangChain, Claude Code SDK, OpenAI SDK, or similar technologies.

Outils et compétences

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

Type de source non vérifié · apify-linkedin

Date publiée par l’employeur
2026-10-20
Première détection par notre source
2026-11-11
Mise à jour du dossier source
2026-11-11

Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.

Postuler
ChampValeur
Offres sur Jobsy39
Description

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.

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