AI Engineer

EVA.AI; Canada; Remote; CAD 80,000 - 100,000; Full time

Job summary

A leading AI company in Canada is seeking an experienced AI Engineer to design, develop, and deploy LLM-based AI solutions, including chatbots and autonomous AI agents. The ideal candidate will have strong knowledge of Generative AI, LLMs, and cloud platforms, along with proficiency in Python and related tools. This role offers competitive benefits and fully remote work options.

Benefits

Healthcare benefits

Pension contributions

Professional development budget

Fully remote work options

Qualifications

• Bachelor's degree in Computer Science or related field.
• Fluent in English.
• Experience with AI Agents and autonomous workflows.

Responsibilities

• Design, develop, and deploy LLM-based AI solutions including chatbots.
• Fine-tune models and implement RAG.
• Integrate AI systems via APIs.

Skills

Knowledge of LLMs and Generative AI

Proficiency in Python

Experience with TensorFlow

Experience with PyTorch

Hands-on experience with Retrieval-Augmented Generation (RAG)

Knowledge of Conversational AI

Experience integrating AI models via APIs

Education

Bachelor's degree in Computer Science or equivalent

Tools

LangChain

OpenAI APIs

AWS

Job description

Who you are

• Education: Bachelor's degree in Computer Science or a related field (or equivalent experience)
• Language: English
• Knowledge of LLMs, Generative AI (GPT, Llama, etc.)
• Proficiency in Python, TensorFlow, PyTorch, LangChain, OpenAI APIs
• Experience with fine-tuning and deploying LLMs on cloud platforms (AWS)
• Hands-on experience with Retrieval-Augmented Generation (RAG), vector databases
• Experience integrating AI models into applications via APIs or microservices
• Experience designing and optimizing AI prompts for LLM-based applications
• 30 hours a week availability
• Experience with AI Agents and autonomous workflows
• Knowledge of Conversational AI and chatbot development

What the job involves

• We are looking for an AI Engineer to design, develop, and deploy LLM-based AI solutions, including chatbots, and autonomous AI agents. This role requires hands-on experience in Generative AI, Large Language Models (LLMs), and AI-powered automation
• As an AI Engineer, you will be responsible for fine-tuning models, implementing Retrieval-Augmented Generation (RAG), integrating AI systems via APIs, and optimizing performance for production environments
• Develop and fine-tune LLMs, AI Agents, and Generative AI models for real-world applications
• Implement RAG (Retrieval-Augmented Generation), prompt engineering, and optimization techniques
• Integrate AI models with APIs, databases, and business applications
• Optimize AI model performance for accuracy, efficiency, and scalability
• Stay updated on the latest AI advancements and experiment with state-of-the-art techniques
• Write code. SOLID practices, all sorts of tests, and pair reviews
• Talk to people. We’re quite flat, so depends on the service and feature you will be working with product analysts, customer success, designers, and obviously other developers
• Participate in SCRUM. Especially retros
• Vertical growth:
• Architecture
• Ability to become Lead Developer after some time and take responsibility for 1 or more microservices
• Product owner of 1 or more services

Benefits

• Base Salary: Based on experience and location
• On-Target Earnings (OTE): Based on EVA.ai scheme
• Benefits: These will be discussed, including healthcare, pension contributions, professional development budget, and fully remote work options