AI Engineer, Mid Level
- Canada
Full-time
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Job details
- Job type
- Full-time
- Posting language
- English
- Posted
Original job description
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 capabilities, including model-integrated services and data pipelines. They will also focus on improving model quality, latency, and reliability while partnering with product teams on technical decisions.
Requirements
Candidates need at least 3 years of professional software or ML engineering experience with strong Python skills. Familiarity with LLMs, retrieval, and cloud platforms is required, with experience in PyTorch or TensorFlow preferred.
Skills
- Python
- Machine Learning
- Generative AI
- LLMs
- API Development
- Data Pipelines
- Model Serving
- Cloud Platforms
- PyTorch
- TensorFlow
- Vector Databases
- Orchestration Frameworks
- Software Engineering
- Model Evaluation
- Monitoring
- Problem Solving
Visa sponsorship
Not detected in the job text
Categories
- Technology
- Software
- Engineering
- Data & Analytics
Keywords
- AI Engineer
- Generative AI
- Machine Learning
- Python
- LLMs
- Retrieval
- Model Serving
- Cloud Platforms
- APIs
- Data Pipelines
- PyTorch
- TensorFlow
- Vector Databases
- Orchestration Frameworks
- Ranking
- Search
- Recommendation Systems
- Software Development
- Production AI
- AI Agents