Source Job

US

  • Build scalable APIs and backend services to connect CAD platforms with cloud-native AI services.
  • Develop Python services that automate complex engineering workflows and manage CAD data.
  • Partner with researchers to build next-generation Engineering AI systems.

Python Backend Development Cloud Computing GRPC

3 jobs similar to Mechanical Design Integrations Backend Engineer

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US Unlimited PTO

  • You'll build and extend integrations with CAD file formats and scripting systems.
  • You'll reverse-engineer proprietary binary and text-based formats with senior support.
  • You'll own features end-to-end from design through testing and rollout.

Quilter automates PCB design for electrical engineers using AI and novel techniques. The small team of experts is backed by $25M Series B funding and values mission, grit, and continuous learning.

Canada

  • Lead end-to-end CAD and engineering data migration initiatives using CIDEON tools, ensuring accuracy and alignment with program timelines.
  • Define migration strategies, support system integrations, and enforce data governance and security policies using NextLabs solutions.
  • Collaborate with program managers and cross-functional teams to troubleshoot issues and improve migration frameworks across distributed engineering ecosystems.

Jobgether is a platform that uses AI-powered matching to connect candidates with job opportunities. It processes applications and shares shortlists with hiring companies, ensuring efficient and fair candidate evaluation.

UK

  • Partner with enterprise clients to understand challenges and design robust technical solutions, from APIs to AI workflows.
  • Own production deployments ensuring reliability, observability, and continuous improvement of delivered systems.
  • Build AI-enabled systems using LLMs and agentic workflows while collaborating across Product, Engineering, and Sales teams.

Our partner is a company focused on deploying AI and enterprise integrations at scale. They operate in a remote-first, high-trust environment with a focus on practical AI deployment.