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Engineering

SphinxAI
Posted 5 months ago, valid for a month
Location

New York, New York 10008, NY

Salary

$80,000 - $96,000 per year

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Contract type

Full Time

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Sonic Summary

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  • Sphinx is seeking engineers who can drive all stages of product development, from conception to deployment, emphasizing both 'what' and 'how' aspects of software engineering.
  • The role involves creativity in thinking of new initiatives and the talent to implement them quickly, especially in the AI domain for data scientists.
  • Recent projects include enhancing AI-searchable indices for data warehouses, developing new frontend interfaces for notebooks, and creating robust backend infrastructure for agentic deployments.
  • Candidates should possess a variety of skill sets and are expected to contribute significantly to the product development process.
  • The position requires a minimum of 3 years of experience, with a competitive salary ranging from $100,000 to $130,000 per year.

Engineering

Software engineering boils down to two broad questions: 

  • What products, features, and platforms should we build? 
  • How are we going to build them?

Many organizations only expect their software engineers to grapple with “how”, delegating the question of “what” to executives, product managers, and senior tech leads.

Not at Sphinx. Here, we believe engineers should drive all stages of product development, from conception to deployment. Our engineers must have the creativity to think of new initiatives, as well as the talent to implement them quickly. We believe that only by mastering both “what” and “how” can an engineer reach their full potential.

We’re building the future of AI for data scientists, and we’re looking for engineers with a variety of skillsets to join our team. Recent projects include:

  • Improving our agent’s ability to interact with existing data warehouses by building AI-searchable indices
  • Inventing new frontend interfaces for notebooks that build off of Jupyter
  • Creating a backend infrastructure that supports high-scale and on-premise agentic deployments



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