AI Engineer, Sr 1

Jobgether; Canada; On-site; CAD 100,000 - 160,000; Full time

Benefits offered by this job

Remote work flexibility

Comprehensive benefits package

Diverse, international team

Professional growth opportunities

Job summary

Jobgether is seeking an AI Engineer, Sr 1, in Canada to design, develop, and optimize AI-powered solutions across private clouds and enterprise environments.

You will deploy Open-Source LLMs, craft agentic workflows, and build scalable Python services supporting AI-driven interactions. Collaboration with diverse teams will shape production-grade AI products with measurable impact.

Qualifications

• Experience in AI engineering with production systems.
• Hands-on with LLMs and GPUs.
• Proven backend development in Python.
• Familiar with tool calls and retrieval systems.
• Experience with SSE/HTTP streaming.

Responsibilities

• Design and develop AI-powered applications, including chat experiences.
• Deploy open-source LLMs in secure private clouds.
• Build scalable Python services for AI interactions.
• Create agentic AI workflows with tool integrations.
• Optimize model performance, latency, and reliability.
• Collaborate with cross-functional stakeholders.

Skills

AI engineering

Large Language Models

Python backend

LLM deployment

Cloud architectures

Tool calling & retrieval

Streaming real-time chat

Tools

Hugging Face Transformers

Azure cloud services

Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a AI Engineer, Sr 1 based in Canada.

This role is designed for an experienced AI Engineer passionate about building innovative, production-ready artificial intelligence solutions.
You will contribute to the design and development of advanced AI systems powered by Large Language Models and modern cloud technologies.
The position focuses on creating intelligent digital experiences through scalable AI services, agentic workflows, and secure enterprise integrations.
You will work on challenging projects involving model deployment, optimization, retrieval systems, and AI-powered applications.
The role offers the opportunity to collaborate with multidisciplinary teams while shaping the future of AI-driven products.
You will have significant ownership in delivering reliable, high-performing AI solutions that create measurable business impact.

The AI Engineer will be responsible for designing, developing, and optimizing AI-powered solutions while ensuring scalability, reliability, and strong engineering practices. The role requires a balance of technical expertise, problem-solving skills, and collaboration across teams.

• Design, develop, and enhance AI-powered applications, including intelligent chatbot experiences and enterprise AI solutions.
• Integrate and deploy open-source Large Language Models (LLMs) within secure private cloud environments.
• Build and maintain scalable Python backend services supporting AI-driven interactions and workflows.
• Design and implement agentic AI workflows, including tool integrations, context retrieval, database querying, and external API communication.
• Optimize AI model performance, latency, scalability, and reliability across GPU-based environments.
• Integrate AI solutions with cloud platforms and existing infrastructure to support production deployments.
• Monitor, evaluate, and continuously improve AI systems using LLM evaluation techniques and performance optimization methods.
• Develop reliable, production-grade AI solutions while collaborating with technical and non-technical stakeholders.
• Contribute to system design decisions and promote best practices for AI engineering.

Requirements:

The ideal candidate brings strong experience in AI engineering, backend development, and deploying intelligent systems at scale. They should demonstrate technical ownership, strong analytical thinking, and the ability to collaborate effectively in complex environments.

• Strong professional experience in AI engineering, particularly with Large Language Models (LLMs).
• Hands-on experience with open-source AI frameworks such as Hugging Face Transformers.
• Proven experience deploying AI models on GPU infrastructure.
• Strong Python backend development skills for AI services and APIs.
• Experience with LLM engineering patterns, including:
  • Tool calling and structured outputs.
  • Retrieval systems and context management.
  • Streaming responses and real-time AI interactions.
• Experience building real-time chat systems using HTTP streaming technologies such as SSE or similar solutions.
• Experience integrating AI systems with databases, APIs, and external services to enable intelligent decision-making.
• Familiarity with Azure cloud services, especially Azure AI and related infrastructure.
• Knowledge of AI model optimization techniques, including quantization, inference optimization, and scalability strategies.
• Understanding of modern software engineering practices and production system design.
• Strong problem-solving and system architecture skills.
• Ability to communicate clearly with both technical and business stakeholders.
• High level of ownership, accountability, and focus on delivering reliable solutions.

Nice to have:

• Experience with frontend technologies such as React or Next.js.
• Experience developing user-facing conversational interfaces.
• Experience with advanced AI evaluation frameworks and production monitoring practices.

Benefits:

• Competitive salary based on skills, qualifications, experience, and location.
• Comprehensive benefits package.
• Opportunity to work on innovative AI-driven projects with real-world impact.
• Collaboration with a diverse and international team.
• Remote work flexibility.
• Professional growth opportunities in a fast-evolving technology environment.
• Exposure to cutting-edge AI technologies and enterprise-scale solutions.
• Inclusive workplace culture focused on innovation and continuous learning.

We appreciate your interest and wish you the best!

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.