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Senior AI Engineer

@ E+E Consulting

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Montréal, Québec

HybrideTemps plein5+ ans d’expérience
Postuler
SIGNAUX

En bref

E+E Consulting, through its client Ayata.AI, is hiring a Senior AI Engineer in Montreal, QC for a hybrid full-time role. The work is building AI-powered solutions that analyze, transform, migrate and improve software systems and codebases, combining applied AI, software engineering and cloud delivery. The posting states hybrid work with 2–3 days per week onsite.

Responsabilités :

  • Build AI-assisted code analysis and migration solutions
  • Design and integrate generative AI and NLP into migration workflows
  • Develop pipelines to generate, test and deploy transformed code
  • Build cloud-based AI services, APIs and data pipelines
  • Mentor engineers while staying involved in design and development

Résumé des exigences :

  • 5–10 years of relevant software or AI experience
  • MSc or PhD in Computer Science, Machine Learning or related field
  • Strong Python and production software experience
  • Experience with generative AI, NLP and retrieval-augmented generation
  • Experience with PyTorch, TensorFlow or equivalent
  • Experience with Azure, AWS or Google Cloud and Docker

Outils et compétences

PythonPyTorchTensorFlowDockerSQLAzureAWSGoogle Cloud
Source et dates

Site carrière / système de candidatures · smartrecruiters

Date publiée par l’employeur
2026-11-09
Première détection par notre source
2026-11-09
Mise à jour du dossier source
2026-11-09

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

Détails du poste

NiveauSenior
DomaineDéveloppement logiciel
Expérience5 an(s) et plus
Heures par semaine40 (estimé)
Milieu de travailBureau
PositionSurtout assis
Exigences physiquesphysique faible · ordinateur élevé
LanguesEnglish
FormationMaîtrise (exigé), Doctorat (exigé)
Domaines d’étudesComputer Science, Machine Learning, Software Engineering

Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.

Postuler

E+E Consulting

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Description

Company Description

Ayata.AI | Senior AI Engineer

Montreal, QC | Hybrid, 2–3 days per week onsite | Ayata.AI

About

Ayata develops AI-powered software for complex industry problems. We are looking for a Senior AI Engineer to design and build solutions that use AI to understand, transform, migrate, and improve software systems and codebases. This is a hands-on role combining applied AI, software engineering, and cloud delivery.

Job Description

Job Responsibilities and Duties

  • Build AI-assisted solutions for code analysis, system transformation, refactoring, and migration.
  • Analyze application architecture, source code, dependencies, data, metadata, and logs.
  • Design and integrate generative AI, NLP, retrieval, and other machine learning capabilities into migration workflows.
  • Develop reliable pipelines to generate, test, validate, and deploy transformed code and software components.
  • Create evaluation methods for functional correctness, regression, performance, security, and maintainability.
  • Build cloud-based AI services, APIs, data pipelines, and automation for production use.
  • Apply sound software engineering practices, including clean code, testing, documentation, versioning, and traceability.
  • Provide technical guidance and mentor engineers while remaining directly involved in design and development.

Qualifications

Qualifications

  • 5–10 years of relevant experience in software engineering, AI, machine learning, or system modernization.
  • MSc or PhD in Computer Science, Machine Learning, Software Engineering, or a related field.
  • Strong Python programming skills and experience delivering production software.
  • Experience with generative AI, NLP, embeddings, retrieval-augmented generation, or related AI methods.
  • Experience with PyTorch, TensorFlow, or equivalent machine learning frameworks.
  • Strong understanding of software architecture, APIs, dependency management, testing, and system integration.
  • Experience working with structured and unstructured data, SQL, and data transformation pipelines.
  • Experience with cloud platforms such as Azure, AWS, or Google Cloud, and container technologies such as Docker.
  • Ability to explain technical decisions clearly and work effectively in evolving problem spaces.

Additional Qualifications

  • Experience with code intelligence, static analysis, parsers, abstract syntax trees, compilers, or dependency graphs.
  • Experience migrating or modernizing applications across languages, frameworks, databases, or cloud environments.
  • Experience with MLOps tools, model evaluation, experiment tracking, monitoring, and scalable inference.
  • Experience building developer tools or AI-assisted software engineering platforms.
  • Experience with enterprise systems in Energy, Insurance, Healthcare, or another regulated industry.

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Lieux et modes de travail

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Tout le CanadaTélétravail · Hybride · Sur place · Sur le terrain

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