Posted 2 hours ago
Senior AI Engineer
@ E+E Consulting
Montréal, Quebec
Overview
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.
Responsibilities:
- 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
Requirements summary:
- 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
Tools & skills
Source and dates
Employer career site / ATS feed · smartrecruiters
- Employer posting date
- 2026-11-09
- First seen by our source
- 2026-11-09
- Source record updated
- 2026-11-09
These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.
Job details
| Seniority | Senior |
| Department | Software development |
| Experience | 5+ years |
| Hours per week | 40 (estimated) |
| Work setting | Office |
| Position | Mostly sitting |
| Physical demands | physical low · computer high |
| Languages | English |
| Education | Master’s degree (required), Doctorate (required) |
| Fields of study | Computer Science, Machine Learning, Software Engineering |
Summary and details written by AI from the posting; the employer’s posting is the authority.
E+E Consulting
Saved company profile
Historical company information from a saved The Jobs API profile (LinkedIn/Crunchbase fields). It is not live-verified; figures may have changed. Missing values remain unknown.
- Other recorded names
- E+E Consulting
| Field | Value |
|---|---|
| Open jobs on Jobsy | 11 |
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.
Journal
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