AI Engineer
Listed on 2026-07-14
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Software Development
AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Backend Developer, Full Stack Developer
About this position
Golden Analytics is an AI-native BI platform built for data teams who are tired of the tradeoffs in today's tools – the depth of self-service analytics tools without the rigidity, the accessibility of a modern design tool, and AI that actually augments how analysts work rather than getting in the way.
The RoleAs an AI Engineer at Golden Analytics, you’ll own critical AI functionality that makes a third‑generation BI platform tick. You know AI tech extremely well and love applying models in new ways to help people achieve greater things. You’ll bring existing AI models to a rapidly‑moving BI platform and build new models to be the brain of a platform centered around working for data.
WhatWe're Looking For
You don’t just use AI tools; you geek out over them. You’re all over coding agents and modern dev environments, strive to learn, and encode that learning in ways that today’s development systems can use. You have shipped AI‑enabled solutions and guided coding agents to help you move faster. You know the limits of this tech but push it to help you do more.
CustomerObsessed
There’s no barrier between you and our users. You have strong product sense and think like a founder. You understand that the best code is the code that delivers the most customer value while remaining reliably maintainable. You’re comfortable jumping on customer calls, gathering feedback, and translating that directly into what you build.
Velocity DrivenYou move fast, learn fast, and ship fast. You understand that velocity is a feature, are comfortable with iteration, learning from failures, and pivoting quickly. Perfect is the enemy of shipped. You write scalable code that you can stand behind but know when to optimize for delivery speed versus perfection.
What You’ll Build- AI‑native data analysis, visualizations, and dashboards
- Models to power an “AI analyst” and capture best practices for working with data
- AI‑infused analytical tools – modeling, analysis, data preparation, enrichment, monitoring, and more
- Natural language interfaces for analytics
- Strong development experience building customer‑facing functionality that leverages existing AI models and ML technologies (LLMs, vector databases, coding agents, etc.)
- Experience building new models and fine‑tuning existing models for new domains.
- Full‑stack development experience and integration with cloud‑deployed customer‑facing applications – Vite, Type Script, React, Postgres, Vercel, Supabase (and more as we grow)
- Experience building software using AI (coding agents, etc.)
- Product thinking and customer orientation
- Comfort with ambiguity and rapid iteration
- Ground floor opportunity at a well‑funded startup (backed by top‑tier VCs)
- Work directly with founders and customers
- Shape product decisions and company culture
- Competitive salary and equity
- Embrace new technologies to help be amazing for our customers
- Do the best work of your life
- Have fun at your job again
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