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Backend Engineer

Job in Palo Alto, Santa Clara County, California, 94306, USA
Listing for: Nexusflow.ai Inc.
Full Time position
Listed on 2026-10-12
Job specializations:
  • Software Development
    Backend Developer, AI Engineer (Applied/Software), Cloud Engineer - Software, DevOps
Salary/Wage Range or Industry Benchmark: 120000 - 180000 USD Yearly USD 120000.00 180000.00 YEAR
Job Description & How to Apply Below

Modern enterprise copilots & agents call for last-mile quality, enterprise-grade robustness and scalable operation costs, beyond simplified programming interfaces for generative AI. Nexusflow tackles this challenge, enabling enterprises to own their workflow copilots & agents stacked on top of powerful yet cost-effective, compact LLMs. We train large language models and build last-mile quality dev tooling for copilots & agents on your enterprise workflows.

Our team has built the open-source LLM, Nexus Raven-V2 , rivaling GPT-4 in function calling with a 100X smaller model size. Our team members are also behind the scenes of Starling , the #1 ranked compact 7B chat model based on human evaluation in Chatbot Arena .

Nexusflow is currently adding Backend Engineers to our team. Our Backend Engineers package up our technology in models and last-mile quality tooling. Our Backend Engineers will be the driving force to build our products and solutions, in extensive collaboration with our ML Engineers and Front-end Engineers.

Responsibilities

API system development for copilot & agent quality tooling

API system development for copilot serving and integration with a focus on enterprise-grade requirements in the following areas

Integration with on-prem & cloud compute vendors

Integration with software tools required in customer oriented solutions

Distributed system and optionally GPU performance optimization

Wear many hats and collaborate with the whole team for product development, deployment and customer success

Qualification Required

Experience in ML model or ML data pipeline deployment (on-prem or on cloud)

Experience in building backend for application or platform API systems

Preferred

Working experience in fast-pace team environment

Experience in using or contributing to modern compute frameworks for LLMs (e.g. Deepspeed, Huggingface TGI, FSDP)

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