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Additive Manufacturing Engineer Remote Jobs in Toronto, ON

YO AI Labs

AI/ML Engineer - Remote

Toronto, ON · Remote

$200 - $350/hr

AI/ML Engineer Job Type: Full-Time Location: Remote Job Summary We are seeking an experienced AI/ML Engineer to build and deploy secure, scalable AI solutions for mission-critical initiatives while ...

Creation

Design Engineer, PCB & DFM

Toronto, ON · On-site +1

Working from electrical schematics and engineering requirements, the engineer will develop and ... manufacturing organization. The position offers flexibility to be remote, with a strong preference ...

Trojan Technologies

Applications Engineer

Toronto, ON · On-site +1

... manufacturing, pharmaceutical processing and semiconductor applications. When you join the Trojan ... We recognize the benefits of flexible, remote working arrangements for eligible roles and are ...

Trojan Technologies

Applications Engineer

Guelph, ON · On-site +1

... manufacturing, pharmaceutical processing and semiconductor applications. When you join the Trojan ... We recognize the benefits of flexible, remote working arrangements for eligible roles and are ...

Salesforce, Inc.

Account Solution Engineer

Toronto, ON · On-site +1

Financial Services, Healthcare & Life Sciences, Manufacturing, Retail & Consumer Goods ... Please note some of these positions may be office-based, office-flexible or remote depending on the ...

Mercor

ML Engineer - AI Coding Expert

Toronto, ON · Remote

CA$85/hr

Remote Role Responsibilities * Use frontier AI coding agents to complete and evaluate complex machine learning and AI engineering tasks. * Review model-generated implementations involving model ...

Mercor

ML Engineer - AI Coding Expert

Toronto, ON · Remote

CA$85/hr

Remote Role Responsibilities * Use frontier AI coding agents to complete and evaluate complex machine learning and AI engineering tasks. * Review model-generated implementations involving model ...

Mercor

ML Engineer - AI Coding Expert

Toronto, ON · Remote

CA$85/hr

Remote Role Responsibilities * Use frontier AI coding agents to complete and evaluate complex machine learning and AI engineering tasks. * Review model-generated implementations involving model ...

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Additive Manufacturing Engineer Remote information

What does an additive manufacturing engineer do when working remotely?

An Additive Manufacturing Engineer working remotely is responsible for designing, developing, and optimizing 3D printing processes and products from a remote location. They collaborate with teams using digital tools to create prototypes, analyze data, and troubleshoot issues related to additive manufacturing. Remote engineers may also oversee workflow, ensure quality standards are met, and support the integration of new technologies, all while communicating with clients and colleagues virtually.

What are the key skills and qualifications needed to thrive as an additive manufacturing engineer remote?

To thrive as an Additive Manufacturing Engineer (Remote), you need a strong background in engineering principles, 3D printing technologies, and materials science, usually supported by a relevant engineering degree. Proficiency with CAD software, simulation tools, and experience with additive manufacturing systems such as FDM, SLS, or SLA, as well as familiarity with industry standards or certifications like ASTM or ISO, is essential. Strong problem-solving skills, attention to detail, and effective virtual communication are crucial soft skills for remote collaboration and project management. These competencies ensure the engineer can design, optimize, and deliver high-quality parts while collaborating efficiently with distributed teams.

What are some common challenges faced by remote additive manufacturing engineers, and how can they be addressed?

Remote Additive Manufacturing Engineers often encounter challenges related to limited hands-on access to equipment and real-time collaboration with on-site teams. To overcome these obstacles, it's important to establish clear communication channels, utilize remote monitoring tools, and coordinate closely with local operators for prototyping and testing. Regular virtual meetings and detailed documentation help ensure project timelines stay on track and technical issues are resolved efficiently. Embracing digital collaboration platforms and maintaining flexibility can significantly enhance productivity and team integration.

What is the difference between Additive Manufacturing Engineer Remote vs Additive Manufacturing Technician?

AspectAdditive Manufacturing Engineer RemoteAdditive Manufacturing Technician
CredentialsBachelor's or higher in engineering, certifications like AM-specific trainingTechnical diploma or associate degree, hands-on training
Work EnvironmentRemote office, design and development focusOn-site manufacturing floor, equipment operation
Industry UsageDesign, process optimization, project managementMachine setup, maintenance, part fabrication

The main difference is that Additive Manufacturing Engineers Remote focus on designing and optimizing additive processes remotely, while Additive Manufacturing Technicians work hands-on with equipment on-site. Engineers typically require higher education and perform planning tasks, whereas Technicians handle daily machine operations and maintenance.

What are the most commonly searched types of Additive Manufacturing Engineer jobs in Toronto, ON?

The most popular types of Additive Manufacturing Engineer jobs in Toronto, ON are:

What are popular job titles related to Additive Manufacturing Engineer Remote jobs in Toronto, ON?

For Additive Manufacturing Engineer Remote jobs in Toronto, ON, the most frequently searched job titles are:

What job categories do people searching Additive Manufacturing Engineer Remote jobs in Toronto, ON look for?

The top searched job categories for Additive Manufacturing Engineer Remote jobs in Toronto, ON are:

Additive Manufacturing Engineer Remote jobs near you
Infographic showing various Additive Manufacturing Engineer Remote job openings in Toronto, ON as of August 2026, with employment types broken down into 96% Full Time, and 4% Part Time. Highlights an 100% Remote job distribution.

AI/ML Engineer - Remote

YO AI Labs

Toronto, ON • Remote

$200 - $350/hr

Full-time

Posted 4 days ago

Job description

AI/ML Engineer

Job Type: Full-Time
Location: Remote

Job Summary

We are seeking an experienced AI/ML Engineer to build and deploy secure, scalable AI solutions for mission-critical initiatives while contributing to proprietary AI infrastructure. You will work with LLMs, RAG, prompt engineering, multi-agent systems, and cloud AI platforms to develop production-grade machine learning applications.

Key Responsibilities
  • Design, implement, and optimize AI/ML solutions using LLMs, RAG, and prompt engineering.
  • Develop and orchestrate multi-agent systems using LangGraph and LangChain.
  • Deploy AI solutions across secure cloud environments such as AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock.
  • Build robust ETL and data pipelines, metadata catalogs, and ontologies for AI training and inference.
  • Develop and maintain REST APIs and SDK integrations.
  • Collaborate with product, security, and engineering teams to deliver secure, scalable solutions.
  • Follow modern secure coding, DevOps, and CI/CD practices.
  • Document technical decisions and communicate complex concepts effectively to technical and non-technical stakeholders.
Required Skills & Qualifications
  • Strong Python proficiency for AI/ML development, including REST APIs and SDK integrations.
  • Hands-on production experience with LLMs, RAG, and prompt engineering.
  • Experience with multi-agent orchestration, tool use, LangGraph, and LangChain.
  • Strong knowledge of cloud AI services, including AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock.
  • Experience building data pipelines, ETL processes, metadata catalogs, and ontologies.
  • Strong understanding of secure coding and CI/CD practices.
  • Excellent written and verbal communication skills.
Preferred Qualifications
  • Experience with enterprise AI platforms such as Anthropic for Gov, OpenAI Enterprise, Gemini Enterprise, or Grok Enterprise.
  • Knowledge of MCP, metadata catalog platforms, and advanced API development.
  • Experience working in government, regulated, or security-sensitive cloud environments.
  • Familiarity with relevant compliance and security standards.