Autodesk Logo

Autodesk

Applied AI Developer

Posted 2 Days Ago
Be an Early Applicant
Remote
Hiring Remotely in Ontario, ON
Junior
Remote
Hiring Remotely in Ontario, ON
Junior
The Applied AI Developer will build and operationalize applied AI and ML systems, focusing on delivery, evaluation, integration, and collaboration across teams.
The summary above was generated by AI

Job Requisition ID #

26WD95114

Position Overview

We are hiring an Applied AI engineer to help build and operationalize applied AI and ML systems across Autodesk products with a focus on the Fusion Industry Cloud. The Applied AI Engineer will contribute to the delivery of ML initiatives, including applied AI capabilities such as Agent Integration and MCP tools deployment. This role will partner closely with Product, Engineering and the Applied AI manager to help turn ML investments into reliable, production-grade capabilities and measurable product outcomes. The role requires strong engineering fundamentals, curiosity, and the ability to learn quickly while collaborating across teams.
 

Responsibilities

  • Contribute to the design and delivery of applied AI systems that are production-ready, reliable and maintainable, with guidance from senior engineers

  • Implement and improve components supporting agent integration, agent stores and observability of agent performance

  • Assist in evaluating and prototyping model approaches, including LLM integrations, retrieval-augmented generation, hybrid model architectures and agentic components

  • Follow established standards for agent and model governance, responsible AI, bias detection, explainability and data privacy

  • Participate in code reviews, technical design reviews and team discussions; incorporate feedback to improve engineering quality and maintainability

  • Collaborate with product and UX partners to translate product goals into technical tasks, success metrics and experiment plans

  • Document technical decisions, implementation details and learnings, and communicate progress and risks to the team

Minimum Qualifications

  • 1 to 2 years of experience in software engineering, ML engineering, or related fields, including internships, co-ops, or full-time industry experience

  • Strong programming fundamentals and experience in at least one of C++ or TypeScript for integration points with desktop or web products

  • Exposure to applied ML concepts and workflows, including model evaluation, experimentation, and deploying or integrating ML components into software systems

  • Familiarity with integrating and evaluating third-party models or LLMs, including basic prompt engineering and an understanding of RAG patterns and safety considerations

  • Interest in building low-latency systems and learning how to integrate ML into product surfaces for real-time inference

  • Ability to reason about software quality, performance, reliability and security, and to apply best practices with support from mentors

  • Clear communication skills and ability to collaborate with product and engineering stakeholders as part of a cross-functional team

  • Bachelor’s degree in Computer Science, Engineering or related field, or equivalent experience

Preferred Qualifications

  • Coursework, projects, or internships related to applied AI, ML systems, LLMs, or agentic workflows

  • Familiarity with AWS and containerization such as Docker, and interest in learning Kubernetes and production deployment practices

  • Exposure to responsible AI concepts and tools, including bias testing or explainability approaches

  • Domain interest or experience in AEC, design or manufacturing

  • A motivated builder who is eager to learn, asks good questions, and consistently improves engineering quality through feedback and iteration

  • Comfortable working in a collaborative and matrixed environment, and able to partner effectively with peers across functions

  • Demonstrates One ORBIT values by being optimistic, relentless about outcomes, brave in taking smart risks, ingenious in problem solving and trusted in delivery and communication

Learn More

About Autodesk

Welcome to Autodesk! Amazing things are created every day with our software – from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.

We take great pride in our culture here at Autodesk – it’s at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world.

When you’re an Autodesker, you can do meaningful work that helps build a better world designed and made for all. Ready to shape the world and your future? Join us!

Salary transparency

Salary is one part of Autodesk’s competitive compensation package. Offers are based on the candidate’s experience and geographic location. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.

Diversity & Belonging
We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: https://www.autodesk.com/company/diversity-and-belonging

Are you an existing contractor or consultant with Autodesk?

Please search for open jobs and apply internally (not on this external site).

Top Skills

AWS
C++
Docker
Kubernetes
Typescript

Similar Jobs

19 Days Ago
Remote
2 Locations
Senior level
Senior level
Artificial Intelligence • Productivity • Software • Automation
Zapier seeks an Applied AI Engineer to develop AI-driven automation tools. Responsibilities include working with large language models and improving AI performance, scalability, and reliability.
Top Skills: Attention MechanismsCloud InfrastructureLarge Language ModelsPythonRetrieval-Augmented Generation SystemsSemantic SearchTransformer NetworksTypescriptVector Databases
5 Days Ago
Remote
Ontario, ON, CAN
Senior level
Senior level
Big Data • Cloud • Digital Media • Machine Learning • Mobile • Software • Industrial
Lead the design and delivery of large-scale applied AI and ML systems, mentor engineers, and collaborate on technical requirements for product outcomes.
Top Skills: AWSC++DockerKubernetesTypescript
18 Days Ago
In-Office or Remote
3 Locations
Mid level
Mid level
Information Technology • Professional Services • Consulting
As an Applied AI Engineer, you will architect AI systems for enterprise coaching, develop LLM components, and enhance user experiences through data-driven insights.
Top Skills: AIAWSAzureDockerGCPKubernetesMatplotlibMlNumpyPandasPlotlyPysparkScikit-LearnSeabornSQL

What you need to know about the Montreal Tech Scene

With roots dating back to 1642, Montreal is often recognized for its French-inspired architecture and cobblestone streets lined with traditional shops and cafés. But what truly sets the city apart is how it blends its rich tradition with a modern edge, reflected in its evolving skyline and fast-growing tech industry. According to economic promotion agency Montréal International, the city ranks among the top in North America to invest in artificial intelligence, making it le spot idéal for job seekers who want the best of both worlds.

Key Facts About Montreal Tech

  • Number of Tech Workers: 255,000+ (2024, Tourisme Montréal)
  • Major Tech Employers: SAP, Google, Microsoft, Cisco
  • Key Industries: Artificial intelligence, machine learning, cybersecurity, cloud computing, web development
  • Funding Landscape: $1.47 billion in venture capital funding in 2024 (BetaKit)
  • Notable Investors: CIBC Innovation Banking, BDC Capital, Investissement Québec, Fonds de solidarité FTQ
  • Research Centers and Universities: McGill University, Université de Montréal, Concordia University, Mila Quebec, ÉTS Montréal

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account