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AI Engineer, Mid Level
- Canada
Full-time
This opening has closed.
The original listing is kept below for reference.
Job details
- Job type
- Full-time
- Posting language
- English
- Posted
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Search current openingsOriginal job description
Archived listing. The details below describe a past opening.
Jobright is a personal AI job search agent that simplifies job searching and helps users find better job outcomes. The Mid-Level AI Engineer designs, builds, evaluates, deploys, and operates machine learning and generative AI capabilities, including model-integrated services, data pipelines, and production systems.
Why Join Us
- Build real, production AI agents used by real users
- High ownership and impact
- Work at the intersection of AI, agents, and product
- Shape how people experience AI-driven job search
Responsibilities
- Design and implement machine learning and generative AI features
- Build evaluation, monitoring, and data pipelines for AI systems
- Develop APIs and services that integrate models into products
- Improve model quality, latency, reliability, and cost
- Partner with product and engineering teams on technical decisions
- Review code, document systems, and support production operations
- Evaluate new models, frameworks, and techniques against product needs
Qualification
Required
- 3 or more years of professional software or machine learning engineering experience
- Strong Python programming and software engineering fundamentals
- Experience building or deploying machine learning systems
- Familiarity with LLMs, retrieval, evaluation, or model-serving workflows
- Experience with cloud platforms, APIs, data pipelines, and testing
- Strong communication and independent problem-solving skills
- Authorised to work in Canada
Preferred
- Experience with PyTorch, TensorFlow, vector databases, or orchestration frameworks
- Experience monitoring production AI systems
- Familiarity with experimentation, ranking, search, or recommendation systems
More about this job
Responsibilities
The AI Engineer will design, build, and deploy machine learning and generative AI features, including model-integrated services and data pipelines. They will also partner with product and engineering teams to improve model quality, latency, and reliability in production environments.
Requirements
Candidates must have at least 3 years of professional software or machine learning engineering experience with strong Python fundamentals. Proficiency in building machine learning systems, familiarity with LLMs, and authorization to work in Canada are required.
Skills
- Python
- Machine Learning
- Generative AI
- LLMs
- Data Pipelines
- APIs
- Cloud Platforms
- Model Serving
- Retrieval
- Evaluation
- Monitoring
- PyTorch
- TensorFlow
- Vector Databases
- Orchestration Frameworks
Visa sponsorship
Not detected in the job text
Categories
- Technology
- Software
- Engineering
- Data & Analytics
Keywords
- AI Engineer
- Machine Learning
- Generative AI
- Python
- LLMs
- Data Pipelines
- APIs
- Cloud Platforms
- Model Serving
- PyTorch
- TensorFlow
- Vector Databases
- Orchestration Frameworks
- Software Engineering
- Production Systems
- Latency
- Reliability
- Ranking Systems
- Recommendation Systems
- Experimentation