Occasional remote work is allowed for this position.
Type of contract for this position: Permanent contract
The position
Job description
We are enabling the one person finance team…
Artificial intelligence products that automate operational management of accounting, communications, and reporting. Finance leaders shouldn’t worry about updating new points of contacts for an invoice; our systems enable them to deliver strategy and vision to their business
We are putting together a tight team of innovative product engineers to join the AI team full stack
You will own building automation, AI, and ML features from concept, release, and integration into the product
We are looking beyond pattern matching, this isn’t a solved problem and we are looking for engineers who will generate new insights and solutions
You will work closely with company leadership and the founding team to deliver high impact projects with direct impact on market positioning of the business
Benefits
Unlimited PTO: You decide when and how long to take time off
Fully paid health insurance: Fully paid medical, dntal, and vision insurance
Complimentary meals: Free lunch and dinner in the office
Parental leave: Generous paid leave to new parents
Commuter benefits: Tax-free commuter benefits
Regular team events: We work hard and play hard
Preferred experience
We don’t care what stack you’ve built in the past, but you will be building with Python, Typescript, and NextJs (bonus points if this is already your stack)
3-5 years of full stack experience in engineering that directly impacts the delivery of product and features to users
Experience taking ownership of projects and driving them through to completion
Exceptions to the above requirements are made for candidates with exceptional stories. If this is you, we will consider you regardless of the guidelines above
Proven ability to build green field products, get it 80% right, and learn from the missing 20%
1+ year of experience on products that deliver AI/ML inference to end users. Can be anywhere in that lifecycle, from training machine learning systems, to creating the interfaces users use to navigate inference results
An interest and passion for AI/ML systems, if you haven’t had the opportunity at work to build AI/ML systems but have personal projects in the space we would love to hear about them
Even if you don’t meet 100% of the qualifications, we encourage you to apply. We care most about curiosity, craft, and drive
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