AI Integration Specialist

Calliere Group; Kitchener; Hybrid; CAD 80,000 - 100,000; Full time

Job summary

A leading tech firm in Kitchener seeks an AI Integration Specialist to integrate advanced language models and machine learning capabilities into core products. Responsibilities include developing AI-enhanced tools, establishing model pipelines, and collaborating with teams to drive AI initiatives. Candidates should have extensive backend development experience and a strong understanding of machine learning systems.

Qualifications

• 5+ years in backend development with machine learning experience.
• Proven track record with production-level language model integrations.
• Strong command of Python and familiarity with vector storage tools.
• Experience in deploying AI models in live environments.
• Adept at complex AI problem-solving and collaboration.

Responsibilities

• Develop and launch AI-enhanced capabilities for user satisfaction.
• Build internal automation tools using language model technologies.
• Establish and oversee AI model pipelines for reliability and performance.
• Enhance AI model outputs for efficiency.
• Collaborate with product development teams for AI strategies.

Skills

Backend development

Machine learning knowledge

Generative AI systems

Python programming

Collaboration skills

Tools

Cloud platforms

Web frameworks

Job description

Position: AI Integration Specialist

In this role, you'll be at the forefront of embedding advanced language models and machine learning capabilities into our core platform and operational tools. Your contributions will enhance user interactions, boost internal processes, and drive forward-thinking product developments.

Key Responsibilities

• Develop and Launch AI-Enhanced Capabilities: Create, deploy, and refine features powered by artificial intelligence to improve user satisfaction and deliver measurable business value.
• Automation Solutions Driven by AI: Build internal tools using language model technologies to automate processes, minimize hands-on work, and elevate team performance.
• Robust AI Framework: Establish and oversee pipelines for machine learning and language models, focusing on reliability, performance, and growth potential.
• Efficiency Tuning: Enhance model outputs by optimizing for response time, accuracy, and resource expenses.
• Team Collaboration: Partner with product development, technical, and analytics groups to identify applications for AI technologies and promote effective strategies.

Requirements

• Extensive Technical Background: At least 5 years in backend development, with hands-on involvement in machine learning and generative AI systems. Experience in fast-paced environments like startups is a plus, though not mandatory.
• Expertise in Advanced AI: Proven track record with production-level language model integrations (such as those from cloud providers, open-source APIs, or frameworks like various model hubs). Skills in crafting prompts, choosing models, and monitoring AI performance are essential.
• Core Technical Proficiencies: Strong command of Python, along with tools for vector storage (e.g., similarity search libraries or managed services). Knowledge of web frameworks, cloud platforms (like major providers), and testing tools is advantageous but optional.
• Operations in AI: Experience with deploying, tracking, and expanding AI models in live settings.
• Analytical Approach: Skilled at navigating complex AI problems and delivering practical, expandable solutions.
• Interpersonal Skills: Adept at collaborating with developers, data experts, and product specialists to shape and execute AI initiatives.

Our Technology Environment

• Infrastructure: Cloud services, container orchestration, caching systems, relational databases, messaging queues, infrastructure-as-code tools, version control, and low-code platforms.
• Backend: Python web frameworks with REST APIs and task queues.
• Frontend: Modern JavaScript frameworks with styling libraries.
• AI Tools: Cloud-based model hosting, third-party APIs for generative tasks.

Benefits

Two days per week are required to be onsite.