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AI Engineer, New Grad
- 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 your personal AI job search agent that transforms the way you do job search from solo, time-consuming efforts to a fast, expert-guided journey, simplifying every job search step and accelerating your route to the best job outcomes. As an AI Engineer, New Grad, you will help develop, integrate, and evaluate AI-powered features used by real job seekers.
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
- Build AI-powered features for search, recommendations, and personalization
- Experiment with prompts, embeddings, retrieval, and LLM APIs
- Create evaluation datasets and measure model quality
- Integrate AI capabilities into reliable product systems
- Investigate model failures, latency, and performance issues
- Collaborate with software engineers, product managers, and data scientists
Qualification
Required
- Recent graduate or graduating soon in Computer Science, Artificial Intelligence, Machine Learning, or a related field
- Strong Python programming skills
- Understanding of machine learning, NLP, or information retrieval fundamentals
- Familiarity with APIs, Git, data processing, and debugging
- Strong analytical and problem-solving skills
- Ability to work remotely
Preferred
- Experience with LLM applications, RAG, embeddings, or model evaluation
- Familiarity with PyTorch, TensorFlow, or scikit-learn
- Experience building AI prototypes or data pipelines
- Knowledge of recommendation systems, search, or ranking
- Interest in AI agents and consumer AI products
More about this job
Responsibilities
Develop and integrate AI-powered search, recommendation, and personalization features, experimenting with prompts, embeddings, retrieval, and LLM APIs. Build evaluation datasets, measure model quality, improve reliability and performance, and collaborate with engineering, product, and data science teams.
Requirements
Applicants must be recent or upcoming graduates in computer science, artificial intelligence, machine learning, or a related field, with strong Python skills and knowledge of machine learning, NLP, or information retrieval. They should also be familiar with APIs, Git, data processing, and debugging, and have strong analytical and problem-solving abilities; experience with LLM applications, RAG, ML frameworks, or recommendation systems is preferred.
Skills
- Python
- Machine Learning
- Natural Language Processing
- Information Retrieval
- Large Language Models
- Prompt Engineering
- Embeddings
- Retrieval-Augmented Generation
- Model Evaluation
- APIs
- Git
- Data Processing
- Debugging
- PyTorch
- TensorFlow
- Scikit-Learn
Visa sponsorship
Not detected in the job text
Categories
- Technology
- Software
- Engineering
- Data & Analytics
Keywords
- Artificial Intelligence
- AI Agents
- Python
- Machine Learning
- Natural Language Processing
- Information Retrieval
- Large Language Models
- LLM APIs
- Prompt Engineering
- Embeddings
- Retrieval-Augmented Generation
- Model Evaluation
- Evaluation Datasets
- Search
- Recommendations
- Personalization
- Ranking
- APIs
- Git
- Data Processing
- Debugging
- Latency
- Performance Optimization
- PyTorch
- TensorFlow
- Scikit-Learn
- Data Pipelines
- Consumer AI Products