Engineering plays a very central part in the business.

As a company with ambitions to be a world-class API solution for all things tax, we value quality over quantity when building, and we care about creating scalable and maintainable software that our customers and daily users can rely on.Some pointers about our engineering culture:We understand the customer''s needs before considering implementation details.architecture, tools, coding, testing, deployment, operations and scalingWe choose collaboration, compassion and trust over individualism and politicsWe prefer innovation, constant iteration and trust over competition and perfect solutions.We take quality seriously and factor it into everything we do.We seek those looking to make a severe impact and are excited about working in a high-growth startup.We ship fast, continuously, and iteratively, learning each step.We are data-informed. And are ok with finding the data when its missing.We have a suite of API products that automate tax-related workflows for any internet company. Those products are

Lookup

,

Tax

,

Returns

,

Data sharing

and

E-Invoicing

.Our Tech StackFonoa has a suite of API products that automate tax-related workflows for any internet company. For the frontend, we use ReactJS and TypescriptFor persistence, we use PostgreSQLWe use Azure and GCP for our cloud servicesAs an engineer, I follow a product through its lifecycle, from ideation to delivery and support, which gives a lot of exposure to the technology and customer needs. Philip Beel, Engineering Manager.Speed up the research of different taxes and their legislation across the world through innovative solutions and automations.Integrate LLMs and ML into our products, ensuring scalability and performance.Partner directly with Tax Managers to establish what quality research output looks likeBuild new product features across the stack, from back-end business logic implementation to front-end customer-facing interfaces.You have experience working with data scientists and data engineers. You have a good understanding of how machine learning works and can bring this expertise to Fonoa.You are fully proficient in English. Written and spoken, we are from around the world, but we work in English.you like the opportunity of having tons of exposure, making things work for a company long term, and having an entrepreneurial attitude toward anything that comes your way.You are proficient in a couple of languages; js with Typescript and Go on the backend. We use ReactJS on the front end, but we are not married to any tools; You ship fast, continuously, and iteratively, learning each step.You like to use data over opinions to make decisions. And are ok with finding the data yourself when its missing.Nice to have: experience with Vector databases, and implementing retrieval-augmented generation (RAG) systems and data pipelinesLI-HybridAs part of the recruitment process at Fonoa, we process your personal data in accordance with our

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