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Moonhub

Staff Software Engineer

Posted 7 Days Ago
Remote
7 Locations
Senior level
Remote
7 Locations
Senior level
The Staff Software Engineer will lead the design and development of AI services, tackling complex recruiting problems using sophisticated software and data solutions while collaborating across teams.
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About Moonhub

Recruiting is a $70B industry that impacts millions of people’s livelihoods and Moonhub is on a mission to build the world’s first AI recruiter. We’re a team of AI researchers, software engineers, and technical recruiters. The Moonhub platform orchestrates agentic actions over a vast amount of workforce data to tackle complex workflows. Recruiters are able to collaborate with the AI to quickly analyze talent pools, find and evaluate candidates, and manage multiple pipelines.


Moonhub’s founder, Nancy Xu, started a recruiting agency while researching AI at Stanford. We’ve raised funding from Khosla Ventures, Marc Benioff (Salesforce founder), and others.


About the Role

As a Fullstack Software Engineer, you will lead the design, development, and delivery of AI services and products. You will tackle ambiguous problems in recruiting with even more ambiguous data, software, and AI solutions. You will collaborate closely with product, design, and recruiting to prototype innovative approaches and architect scalable systems. Your technical expertise and leadership ability will contribute to the success of the team and the product.


Requirements

6+ years software development experience at a venture-backed startup or top technology company.

2+ year operating in a technical lead capacity.

Ability to understand complex domains and product requirements and translate into high quality product and technical solutions.

Fluency in building backend and full-stack web applications in Python and React

Excellent technical communication and ability to collaborate with partners of all levels and functions.


Nice to haves

Experience in mentoring fellow engineers through pairing, code review, and giving actionable feedback.

Experience building products and systems that leverage ML, AI, and LLMs

Experience in startup environment (founder or early engineer)

Experience working in data intensive applications

Experience with search

Top Skills

AI
Llms
Ml
Python
React

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