AI Engineer [Junior]

Role snapshot

• Title: AI Engineer (Junior)
• Location: Toronto, ON (hybrid, 2–3 days on-site)
• Engagement: Full-time, working on Augmented enterprise client projects
• Level: Junior (0–2 years of professional experience)
• Reports to: AI Engineering Lead

About the role

Augmented is hiring a Junior AI Engineer to help build and ship AI-powered applications for large enterprise clients in regulated industries. You will work alongside senior engineers on LLM-based features, from prototype to production, and grow quickly through hands-on delivery.

Key responsibilities

• Build and test features for LLM-powered applications, such as chat assistants, document processing and retrieval-augmented generation (RAG)
• Write clean, tested Python code for APIs, data preparation and model integrations
• Develop and refine prompts, and help build evaluation sets to measure output quality
• Integrate LLM APIs and vector databases into client applications
• Support deployment, monitoring and bug fixing in cloud environments
• Document your work and take part in code reviews, stand-ups and client demos
• Keep learning new AI tools and techniques and share what you learn with the team

Required qualifications

• Degree in Computer Science, Engineering, Mathematics or a related field, or equivalent practical experience
• 0–2 years of software or AI engineering experience (internships, co-ops and substantial projects count)
• Solid Python skills and familiarity with Git
• Hands-on exposure to LLMs through projects, coursework or hackathons (e.g. OpenAI, Anthropic or open-source models)
• Basic understanding of REST APIs, SQL and cloud concepts
• Curious, eager to learn and clear in written and spoken communication
• Legally entitled to work in Canada

Nice to have

• Experience with LangChain, LlamaIndex or similar frameworks
• Familiarity with vector databases (e.g. pgvector, Pinecone) and embeddings
• Basic ML knowledge (scikit-learn, PyTorch)
• Exposure to Docker, CI/CD or a major cloud (Azure, AWS or GCP)
• A GitHub portfolio or demo of an AI project you built

Tech stack

• Languages: Python, SQL, TypeScript (a plus)
• AI: LLM APIs (OpenAI, Anthropic, Azure OpenAI), open-source models
• Frameworks: LangChain / LlamaIndex, FastAPI
• Retrieval: vector databases, embeddings, RAG pipelines
• Cloud & DevOps: Azure or AWS, Docker, Git, CI/CD

Why Augmented

Augmented is an AI-native engineering delivery hub serving large enterprises in Life Sciences and Fintech, with teams in Toronto and the US.

• Learn fast by shipping real AI products for enterprise clients
• Mentorship from senior AI and data engineers
• Hands-on with modern AI tools and AI-native delivery practices

How to apply

Apply through this posting with your resume and a link to an AI project you built (GitHub, demo or short write-up).

Augmented is an equal opportunity employer. Accommodations are available on request at any stage of the hiring process.