Description

About us:

Intuitive is an innovation-led engineering company delivering business outcomes for 100’s of Enterprises globally. With the reputation of being a Tiger Team & a Trusted Partner of enterprise technology leaders, we help solve the most complex Digital Transformation challenges across following Intuitive Superpowers:

Modernization & Migration

  • Application & Database Modernization
  • Platform Engineering (IaC/EaC, DevSecOps & SRE)
  • Cloud Native Engineering, Migration to Cloud, VMware Exit
  • FinOps

Data & AI/ML

  • Data (Cloud Native / DataBricks / Snowflake)
  • Machine Learning, AI/GenAI

Cybersecurity

  • Infrastructure Security
  • Application Security
  • Data Security
  • AI/Model Security

SDx & Digital Workspace (M365, G-suite)

  • SDDC, SD-WAN, SDN, NetSec, Wireless/Mobility
  • Email, Collaboration, Directory Services, Shared Files Services

Intuitive Services:

  • Professional and Advisory Services
  • Elastic Engineering Services
  • Managed Services
  • Talent Acquisition & Platform Resell Services

About the job:

Title: AI Engineer

Start Date: Immediately

# of Positions: 1

Position Type: Full Time

Location: Remote across Canada

Overview

As an AI Engineer, you will play a pivotal role in designing, developing, and deploying domain-specific AI agents and solutions that drive organizational transformation. You’ll collaborate with cross-functional teams, lead technical initiatives, and ensure the delivery of scalable, production-ready AI systems.

Key Responsibilities

AI Development & Solution Delivery

  • Research, design, and develop generative AI-driven features and experiences tailored to user preferences and behaviours.
  • Build, prototype, iterate, and deploy domain-specific AI agents capable of communication, information gathering, insight generation, and intelligent actions.
  • Architect and implement scalable AI systems, including feature pipelines, model stores, and frameworks for reproducible research.
  • Lead end-to-end development of AI infrastructure and applications, from proof-of-concept to production deployment and ongoing maintenance.
  • Implement automated systems for continuous training, validation, and monitoring of models to ensure reliability and minimize downtime.
  • AI applications development aid with improvements in evaluation, prompt engineering, and AI interface

Collaboration & Leadership

  • Work closely with product designers, managers, data engineers, and business stakeholders to define requirements, prioritize features, and align AI initiatives with business goals.
  • Collaborate with transformation teams and AI platform teams to build scalable, cross-domain AI agents and solutions.
  • Mentor junior AI engineers and data scientists, conduct code reviews, and promote best practices in AI development.
  • Provide guidance on data science best practices and advise on emerging AI technologies, frameworks, and tools.
  • Integration & Deployment
  • Deploy, monitor, and optimize AI agents on cloud infrastructure (GCP, Azure), ensuring high availability and performance.
  • Build APIs, microservices, and data integrations for AI features, following industry best practices for maintainable code.
  • Ensure ethical AI development and compliance with data privacy regulations.

Continuous Learning & Innovation

  • Stay current with advancements in AI, machine learning, and software engineering, integrating new technologies into existing or new AI agents.
  • Drive experimentation and innovation by evaluating and recommending cutting-edge AI technologies.
  • Conduct thorough testing and validation to ensure reliability and accuracy of AI solutions.

Qualifications

  • Master’s or PhD in Computer Science, Mathematics, Physics, Statistics, or a related quantitative field.
  • 5–7 years’ experience in data science, machine learning, or AI, with a proven track record of deploying models in production environments.
  • Minimum 4 years’ experience in machine learning; at least 2 years hands-on with Agentic, LLM, and NLP-based applications.
  • Proficiency in Python and SQL; production-quality OOP skills (Python, C++, etc.).
  • Experience with ML frameworks (TensorFlow, PyTorch).
  • Strong understanding of software development methodologies (agile, version control, CI/CD pipelines for ML).
  • Experience with public cloud platforms (GCP, Azure) and containerization (Docker, Kubernetes).
  • Hands-on experience building ML solutions from inception to launch, including MLOps/AIOps infrastructure.
  • Solid grasp of data structures, algorithms, and software engineering principles.
  • Experience in supervised, unsupervised, or reinforcement learning paradigms.
  • Excellent problem-solving, analytical reasoning, communication, and collaboration skills.
  • Interest in prompt engineering, AI safety, and scalable deployment.
  • Ability to work cross-functionally and communicate solutions that meet business objectives.
  • Travel may be required for team collaboration, conferences, or vendor meetings.

Success Essentials

  • Partner with AI leadership to shape the AI/ML roadmap and lead a team of AI engineers.
  • Architect and implement scalable AI systems to solve complex business problems.
  • Mentor and guide junior engineers and data scientists.
  • Ensure ethical, compliant, and innovative AI development.
  • Present technical results and engage with business partners to define project requirements.

How you will contribute:

  • Conduct research, design, and develop generative AI-driven features and experiences customized to the unique preferences and behaviors of our users.
  • Utilize cutting-edge technologies such as machine learning, natural language processing (NLP), computer vision, and other AI methodologies to improve product functionality
  • Collaborate effectively with cross-functional teams to seamlessly integrate AI capabilities into existing products and pioneer the development of new AI-powered solutions.
  • Work closely with product designers to define requirements, prioritize features, and craft intuitive user interfaces for AI-powered features.
  • Implement, test, and deploy scalable machine learning solutions in production.
  • Stay current with the latest advancements in machine learning and artificial intelligence.

Who we are looking for:

  • 4+ years’ experience in Machine Learning.
  • Minimum of 2 years of hands-on experience in developing Agentic, LLM and NLP based applications
  • Proficient in machine learning, deep learning, and generative AI techniques
  • Experience with data preprocessing, feature engineering, and model evaluation techniques.
  • Proficiency in Python and SQL
  • Strong understanding of software development methodologies, including agile development practices, version control systems, and CI/CD pipelines for ML
  • Experience in applying supervised, unsupervised or reinforcement learning paradigms to business problems
  • Proven track record of deploying AI models in production.
  • Experience with public cloud platforms (AWS, GCP or Azure) and containerization technologies (Docker, Kubernetes).
  • Strong problem-solving skills to devise innovative and creative AI solutions.
  • Excellent communication and collaboration skills in a fast-paced environment.