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Engineering Platform Developer

  • Job type Posted on: Jul 21, 2026
  • Experience level Virtual Vocations Inc
  • Employment type New York, New York
  • Employment type Onsite
  • Salary Full-time

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Job Title :

Engineering Platform Developer

Job Type :

Full-time

Job Location :

New York New York United States

Remote :

No

Jobcon Logo Job Description :

Building a reliable and scalable Experiment Platform, the full-time remote Engineering Platform Developer will design backend services, partner with research teams to create intuitive APIs, and drive the adoption of agent-native workflows. Key responsibilities Design and build robust backend services primarily using Python and Go for the API Gateway and Experiment Platform Collaborate with researchers and infrastructure teams to translate research workflows into APIs and data models Integrate existing research infrastructure and develop dashboards to monitor adoption and usage metrics Required qualifications Proven experience in building production APIs, distributed systems, or platform infrastructure Strong engineering fundamentals in backend architecture, API and database design Demonstrated ability to lead cross-functional initiatives and align stakeholders around a technical vision Nice to have: Understanding of ML research workflows, including experiments and training runs

Jobcon Logo Position Details

Posted:

Jul 21, 2026

Reference Number:

14660_F0AA78CA9A3B06D37CB84E34D0C5A9F4

Employment:

Full-time

Salary:

Not Available

City:

New York

Job Origin:

APPCAST_CPC

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Building a reliable and scalable Experiment Platform, the full-time remote Engineering Platform Developer will design backend services, partner with research teams to create intuitive APIs, and drive the adoption of agent-native workflows. Key responsibilities Design and build robust backend services primarily using Python and Go for the API Gateway and Experiment Platform Collaborate with researchers and infrastructure teams to translate research workflows into APIs and data models Integrate existing research infrastructure and develop dashboards to monitor adoption and usage metrics Required qualifications Proven experience in building production APIs, distributed systems, or platform infrastructure Strong engineering fundamentals in backend architecture, API and database design Demonstrated ability to lead cross-functional initiatives and align stakeholders around a technical vision Nice to have: Understanding of ML research workflows, including experiments and training runs

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