AI Engineer, Entry Level (Canada)
- Canada
Full-time
Applications open in a new tab.
Job details
- Job type
- Full-time
- Experience
- Recent graduate or entry-level professional (0–2 years of experience) with a degree in Computer Science, AI, or a related technical field
- Posting language
- English
- Posted
Original job description
Jobright is a rapidly growing AI job search platform in the U.S. that is dedicated to transforming the job search experience. They are seeking an entry-level AI Engineer to build and refine autonomous AI agents, develop sophisticated prompt engineering workflows, and integrate Large Language Models into their application.
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 and refine autonomous AI agents that interact with complex environments to solve real-world user problems
- Develop and optimize sophisticated prompt engineering workflows and multi-agent orchestration frameworks to enhance product capabilities
- Integrate Large Language Models (LLMs) into the Jobright application, ensuring high-quality, low-latency, and reliable AI responses
- Work at the intersection of product and engineering to transform user requirements into functional AI-driven features
- Implement Retrieval-Augmented Generation (RAG) systems and fine-tune models to improve the accuracy and context-awareness of our agents
Qualification
Required
- Recent graduate or entry-level professional (0–2 years of experience) with a degree in Computer Science, AI, or a related technical field
- Strong proficiency in Python and experience working with LLM APIs (such as OpenAI, Anthropic, or open-source models via Hugging Face)
- Practical understanding of agentic workflows, prompt chaining, and the latest trends in generative AI
- Solid software engineering foundations, including a strong grasp of APIs, asynchronous programming, and version control (Git)
Preferred
- Previous internship or personal project experience building AI-powered applications, chatbots, or autonomous agents
- Familiarity with agent frameworks such as LangChain, AutoGPT, or CrewAI
- Experience with vector databases and semantic search implementation
- Basic understanding of front-end or full-stack integration to help bridge the gap between AI logic and user interfaces
More about this job
Responsibilities
Build and refine autonomous AI agents, prompt engineering workflows, and multi-agent orchestration systems to address user needs. Integrate and optimize LLMs, RAG systems, and fine-tuned models in the Jobright application to deliver accurate, reliable, low-latency AI features.
Requirements
Applicants should be recent graduates or entry-level professionals with 0–2 years of experience and a degree in Computer Science, AI, or a related technical field. Required qualifications include Python, experience with LLM APIs, understanding of agentic workflows and generative AI, and solid software engineering foundations; AI application projects, agent frameworks, vector databases, semantic search, and front-end or full-stack integration are preferred.
Skills
- Python
- Large Language Models
- LLM APIs
- Prompt Engineering
- AI Agents
- Multi-Agent Orchestration
- Retrieval-Augmented Generation
- Model Fine-Tuning
- APIs
- Asynchronous Programming
- Git
- LangChain
- AutoGPT
- CrewAI
- Vector Databases
- Semantic Search
Visa sponsorship
Not detected in the job text
Categories
- Technology
- Software
- Engineering
Keywords
- Python
- Large Language Models
- OpenAI
- Anthropic
- Hugging Face
- AI Agents
- Agentic Workflows
- Prompt Engineering
- Prompt Chaining
- Multi-Agent Orchestration
- Retrieval-Augmented Generation
- RAG
- Model Fine-Tuning
- APIs
- Asynchronous Programming
- Git
- LangChain
- AutoGPT
- CrewAI
- Vector Databases
- Semantic Search
- Generative AI
- Chatbots
- AI-Powered Applications
- Front-End Integration
- Full-Stack Integration
- Software Development