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Software Engineer (Remote)

Role overview

Qualifications

  • 1 - 4 years of experience in back-end/full-stack software engineering
  • Undergrad CS degree from a top 25 school in US or Canada
  • Familiarity with cloud infrastructure (e.g. AWS)
  • Self-motivated, high ownership, low ego

Responsibilities

  • Unifying fragmented systems under a single standard
  • Connecting with various types of on-prem systems
  • Handling millions of API requests per day efficiently
  • Building front-end apps that utilize our own APIs

About the company

AI Talent Now, LLC logo

AI Talent Now, LLC

Company details

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Job description

AI Talent Now job # ZR_97_JOB

About us:

We're building the financial ops platform for construction, a $12T global industry run by software built 20-40 years ago, much of it on-prem with no APIs and no documentation.


We spent 3 years building the rails to read and write across those systems, and we use them to deploy AI for invoicing, expenses, compliance, billing, and more.

We're looking for a world-class engineer who loves simplifying complex systems, unifying fragmented data, and building high-scale backend systems.


Responsibilities
INTERESTING TECHNICAL CHALLENGES:
  • Unification: we’re unifying dozens-to-hundreds of fragmented systems under a single standard that we define. Our unification covers data objects, data models, authentication, account-linking UX, and features like filters and pagination. When designing any new feature, we have to do it in a scalable way. For example, when adding filters, we have to research each system we support (and plan to support) and create a generic, system-agnostic solution.
  • On-prem: we’re connecting with many types of on-prem systems (SQL-based, DLL-based, API-based), many built 20-40 years ago. We provide tremendous value to customers allowing them to interface with these systems in a secure, fast, reliable way, as if they’re modern, cloud-based products. We need to support real-time communication and webhooks when they don’t exist (e.g., using web-sockets).
  • Scale & speed: we’re handling millions of API requests per day, and growing daily. For our products that we power with our own API (e.g. Analytics), we need to store and retrieve large amounts of data in an efficient way, building elegant caching layers to reduce latency. We ship code daily and iterate quickly based on actual feedback from paying customers (they share tons!).
  • Operational excellence: we’re creating a reliable API layer on top of many old systems that don’t have APIs. It’s like building a skyscraper on quicksand, enforced by SLAs. We need to innovate in expanding the depth and breadth of our integrations while simultaneously increasing our development velocity. We need to be very creative in how to continually test our code and integrations, creating scalable testing frameworks that can catch edge cases and bugs across 1k+ endpoints.
  • Mix of back-end and front-end: we’re building front-end apps that dog-food our own APIs (e.g. Sync, Analytics). This helps us build world-class APIs because we suffer any pain present in our API. We’re building both the lego blocks and the higher-level lego models: we see what kinds of APIs our SaaS customers want, then also look at the kinds of API niceties we want for our own applications (like a caching layer, advanced filtering) and implement a combination of the two.
  • Variety: without knowing, you might assume adding a new integration is low-ambiguity and routine. But each integration we launch is special, completely different and posing unique challenges. This requires researching that system and its nuances in great depth before building on top of it. It’s part engineering, part archaeology.


Requirements

Seniority

1 -​ 4 years of experience in back-​end/full-​stack software engineer.​ Must be able to work independently without much guidance.​


Work experience

Startup focused:​ recent experience at small (Seed to Series B) tech startup.​ No more than 2yrs at later-​stage/public companies.​

Updated

Education

Undergrad CS degree -​ no bootcamps

Top US/CAN school:​ CS degree from a top 25 undergrad school in US or Canada

Updated

Hard skills

Candidate should not be primarily LLM/AI focused and give the impression that they mainly want to work on AI given we are not AI-​focused

Updated

Familiarity with cloud infrastructure (e.​g.​ AWS)

Updated

Soft skills

Self-​motivated,​ high ownership,​ low ego;​ desire to work on a fast-​paced,​ intense,​ fun team.​ Excited to be our next hire;​ passion for building a world-​class engineering culture

Updated

Miscellaneous

Some indication of excellence:​ whether that be coming from a top US/CAN school,​ excelling at a reputable startup,​ or having other standout accomplishments



Benefits

Healthcare: we cover 90% of your healthcare costs with several plan options.
401k: we match 100% of your contributions, up to 4% of annual salary.
Relocation: sizable relocation bonus for folks currently located outside of the Bay Area.
Gym: on-site gym with Peloton, squat rack, Tempo, Yoga setup, and more.
Visa: we sponsor Visas (H1B, TN, etc.) for candidates who are a good fit!
Commuter benefits: employees can make pre-tax contributions toward commuting costs, and we’ll cover the full cost of a Muni pass for those using public transit.
Breakfast & Dinner, delivered: breakfast and dinner stipends through DoorDash. Plus a kitchen stocked with coffee, snacks, drinks, and more


Salary: $120K - $200K

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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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