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Backend Engineer

Nexusflow.ai Inc.
Palo Alto, CA Full Time
POSTED ON 12/25/2024 CLOSED ON 1/25/2025

What are the responsibilities and job description for the Backend Engineer position at Nexusflow.ai Inc.?

About Nexusflow.ai

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, NexusRaven-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.

 

Position: Backend Engineer

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)

  • Experience in projects involving LLMs

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