Senior 3D & AI Systems Software Developer

Accountabilities

• • Serve as a key contributor to the backend development of 3D AutoReview capabilities, taking features from pipeline architecture and experimentation through production delivery.
  • Design, build, and maintain robust, scalable backend systems and APIs supporting intelligent 3D model analysis.
  • Experiment with geometry parsing, model analysis, quality detection, anomaly identification, and contextual information generation for 3D design reviews.
  • Develop extensible systems that support custom rules, reference data, and scalable workflows for 3D engineering analysis.
  • Collaborate closely with ML teams to integrate machine learning and AI capabilities into the 3D review process.
  • Contribute to ML-assisted workflows involving feature extraction, embeddings, inference, model integration, and AI-driven analysis.
  • Partner with backend, frontend, and product teams to deliver high-impact capabilities while maintaining speed, quality, and strong cross-functional alignment.
  • Explore new technical approaches, test assumptions, and solve complex geometry, infrastructure, and AI problems that may not have clearly defined solutions.
  • Help establish and maintain strong technical standards, engineering practices, and scalable architectural patterns across the team.
  • Become a subject-matter resource for 3D-related challenges within the AutoReview domain and help other team members build expertise.

  Requirements

  • 5+ years of professional backend software development experience, ideally within a product or platform engineering environment.
  • Strong understanding of 3D mathematics, with practical experience involving graphics engines, CAD kernels, robotics, 3D simulations, or related technologies.
  • Experience with 3D/CAD technologies such as HOOPS, OpenCascade, Parasolid, or comparable platforms is highly valuable.
  • Demonstrated ability to design, develop, deploy, and maintain reliable and scalable backend systems and APIs.
  • Experience working with multiple data storage paradigms, including SQL, NoSQL, and vector databases.
  • Knowledge of ML, AI, and LLM concepts, with experience taking AI capabilities into production environments.
  • Familiarity with 3D machine learning pipelines, including feature extraction, embedding generation, model training, or inference.
  • Experience with agentic AI workflows and frameworks such as Pydantic AI is a plus.
  • Experience integrating and working with large language models through APIs such as OpenAI, Anthropic, or Google Gemini.
  • Familiarity with machine learning frameworks including PyTorch, Hugging Face, or Scikit-learn.
  • Experience deploying machine learning services using cloud infrastructure such as AWS SageMaker or Amazon Bedrock.
  • Strong problem-solving skills and comfort working through ambiguous or loosely defined technical challenges.
  • Excellent communication skills, with the ability to explain complex technical problems and translate them into clear paths forward.
  • Experience with CAD modeling software such as SolidWorks, Creo, or Onshape is a strong plus.
  • Knowledge of mechanical engineering principles and workflows is a strong plus.
  • Self-directed, curious, and proactive, with the ability to investigate unfamiliar problems and communicate findings clearly.

  Benefits

  • Competitive compensation package including stock options.
  • Extended health benefits.
  • Comprehensive health and dental coverage, including 100% coverage.
  • Unlimited paid vacation.
  • RRSP/401(k) matching.
  • Fully remote work within North America.
  • Full-time, permanent employment.
  • Opportunity to work on technically advanced applications combining 3D engineering, AI, machine learning, and backend systems.
  • High-autonomy environment with opportunities to influence architecture, technical standards, and product direction.