Backend AI Systems Engineer - Scalable APIs (NY)

Meridian

New York (NY)

On-site

USD 120,000 - 180,000

Full time

14 days+
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Job summary

Meridian in New York, NY is seeking a Software Engineer to design, build, and maintain backend systems powering AI-driven products. You will focus on performance, reliability, and scalability, writing clean code, implementing APIs, and integrating data sources.

You will collaborate with product and AI teams, participate in code reviews, and contribute to the evolution of the software stack through documentation and process improvements.

Qualifications

  • Bachelor's degree in Computer Science, Engineering, or related field, or equivalent practical experience.
  • Strong foundation in CS, algorithms, data structures, and systems fundamentals.
  • Proficiency in software development and shipping production-quality code.
  • Hands-on backend development experience, APIs and services.
  • Familiarity with Python and TypeScript; relational or NoSQL databases.
  • Comfort in Linux environments; using Git and standard dev tooling.
  • Ability to collaborate in a cross-functional team and own projects end-to-end.

Responsibilities

  • Design, build, and maintain backend systems and services powering AI-driven products.
  • Implement APIs and integrate data sources.
  • Participate in code reviews; improve development processes; troubleshoot production issues.
  • Contribute to architectural decisions and documentation.

Skills

CS fundamentals
Backend development
APIs
OOP
Python
TypeScript
Databases (SQL/NoSQL)
Linux
Git & dev tooling
Cross-functional collaboration

Education

Bachelor's degree in CS/Engineering or equivalent

Tools

Git
Linux

Job description

Meridian in New York, NY is seeking a Software Engineer to design, build, and maintain backend systems powering AI-driven products. You will focus on performance, reliability, and scalability, writing clean code, implementing APIs, and integrating data sources.

You will collaborate with product and AI teams, participate in code reviews, and contribute to the evolution of the software stack through documentation and process improvements.

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