Software Engineer, Full Stack - Emerging Talent

Within your first year, you will have the opportunity to work on critical initiatives for Verse. This includes, but not limited to:

Document extraction with LLMs Programmatically translating complex and nuanced medical documents into structured info to automate ordering and validation. This directly works to get patients the care they need more accurately and more quickly while saving medical professionals time and stress.

Programmatically translating complex and nuanced medical documents into structured info to automate ordering and validation.

This directly works to get patients the care they need more accurately and more quickly while saving medical professionals time and stress.

Laying the groundwork for new DME (durable medical equipment) categories Working toward a strategic priority to expand into new DME categories to increase the appeal of our product to entire healthcare systems and diversify our sales motion and business model. Building an extensible application in entirely new verticals (e.g. oxygen tanks, wheel chairs, etc) in a way that minimizes duplication, maximizes speed, and allows us to iterate quickly on user learnings.

Working toward a strategic priority to expand into new DME categories to increase the appeal of our product to entire healthcare systems and diversify our sales motion and business model.

Building an extensible application in entirely new verticals (e.g. oxygen tanks, wheel chairs, etc) in a way that minimizes duplication, maximizes speed, and allows us to iterate quickly on user learnings.

Building increasingly sophisticated automation to fulfill orders The home health DME space is complex. It does not operate at all like an ecommerce platform. If you order a backpack from amazon, you (as the user) pick the exact SKU that gets sent out (color, brand, size, etc). That’s not how it works in our space. Nurses only send in some detail about the prescribed DME products with the patient information. We have to translate this into specific products that: Meet the patient need Are (ideally) covered by insurance, which is very hard to know definitively. Adhere to the customized way that the clinic wants to operate (notification styles, brand preferences, product terminology etc) Are in stock, available, and financially sustainable.

The home health DME space is complex. It does not operate at all like an ecommerce platform. If you order a backpack from amazon, you (as the user) pick the exact SKU that gets sent out (color, brand, size, etc). That’s not how it works in our space. Nurses only send in some detail about the prescribed DME products with the patient information. We have to translate this into specific products that: Meet the patient need Are (ideally) covered by insurance, which is very hard to know definitively. Adhere to the customized way that the clinic wants to operate (notification styles, brand preferences, product terminology etc) Are in stock, available, and financially sustainable.

It does not operate at all like an ecommerce platform. If you order a backpack from amazon, you (as the user) pick the exact SKU that gets sent out (color, brand, size, etc). That’s not how it works in our space.

Nurses only send in some detail about the prescribed DME products with the patient information. We have to translate this into specific products that: Meet the patient need Are (ideally) covered by insurance, which is very hard to know definitively. Adhere to the customized way that the clinic wants to operate (notification styles, brand preferences, product terminology etc) Are in stock, available, and financially sustainable.

Meet the patient need

Are (ideally) covered by insurance, which is very hard to know definitively.

Adhere to the customized way that the clinic wants to operate (notification styles, brand preferences, product terminology etc)

Are in stock, available, and financially sustainable.

There is a long tail of special cases, nuanced business logic, etc. that goes into fulfilling these orders. Our goal as engineers is to build an increasingly sophisticated system that captures more and more of this over time.

You'll be joining the Engineering team, a group of talented innovators who value pragmatism, simplicity, and speed of execution. We collaborate closely and believe the best ideas can come from anywhere.

Languages: Python, Typescript

Frameworks: Flask, React, Apollo GraphQL

Infrastructure: Postgres, Airflow, AWS, Google Cloud Platform

Introductory Call (30 minutes): A virtual conversation with a Verse Talent Partner to discuss your background, interests, and the role.

Technical Interview (90 minutes): A live, virtual pair-programming session with one of our engineers.

Onsite Interview (4 hours): An in-person, in-depth pair-programming exercise followed by a discussion with Eastin, our Head of Engineering.

CEO Interview (30 minutes): A virtual conversation with Dhaivat, our CEO, to align on vision, values, and long-term impact.

Interview Note: To support a more interactive and engaging experience, we ask candidates to keep their cameras on during interviews.

At Verse Medical, our mission is to deliver equitable, hospital-quality care to everyone, regardless of their background or where they live. We can only achieve this if our own team reflects the diversity of the patients we serve. We are committed to building a workplace where everyone feels a sense of belonging, where their contributions are valued, and where they can do their best work. We embrace diversity of all kinds: race, gender, age, religion, identity, experience. We are actively working to build a more inclusive and equitable world, starting from within our own walls. We are an equal opportunity employer.

We are also committed to providing a positive and accessible interview experience. If you require any accommodations to participate in our process, please contact us at recruiting@versemedical.com .