Full Stack Engineer

PROTECH
Santa Rosa, United States of America
3 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Remote
Santa Rosa, United States of America

Tech stack

Clean Code Principles
JavaScript
Artificial Intelligence
Application Integration Architecture
Software Applications
Software Quality
Databases
Design of User Interfaces
PostgreSQL
Node.js
Software Construction
Software Engineering
SQL Databases
TypeScript
React
Large Language Models
Backend
Vue.js
Front End Software Development

Job description

As a Full Stack Software Engineer, you will be at the heart of this product engine. You will work across the stack to design, implement, and ship the high-quality workflows, reusable components, and internal tools that allow the platform to scale.

This is a high-ownership role where you will take features from idea to production. You will collaborate directly with product teams and enterprise customers to tailor specific solutions, extending the platform and UI/UX layer as needed. If you love seeing your code in production within days and want to build the infrastructure that makes rapid, enterprise-grade AI possible, this is the team for you.

???? Responsibilities

  • End-to-End Delivery: Develop and deliver full-stack AI-powered applications on top of the core platform.
  • Customer Collaboration: Work closely with enterprise customers and internal teams to tailor solutions and solve complex workflow challenges.
  • Platform Extension: Build out and extend the platform and UI/UX layer.
  • AI Integration: Collaborate with core platform and research teams to integrate new AI capabilities into production use.
  • Code Quality: Write clean, tested, and maintainable code in a fast-paced environment.

???? Tech Stack

  • Backend: Node.js or React
  • Frontend: React
  • Languages: JavaScript and TypeScript
  • Database: PostgreSQL (SQL databases)

Requirements

  • 5+ Years Experience: Proven hands-on software engineering experience.
  • Startup DNA: You must have experience working in a fast-paced startup environment.
  • Product Mindset: A proven track record of shipping real, user-facing products end-to-end.
  • Core Stack: Deep proficiency with JavaScript/TypeScript, Node.js, PostgreSQL, and either Vue or React.
  • Global Communication: Exceptional English communication skills. You will be collaborating daily with a global team across different time zones (US, EU, IL).

???? Nice to Have

  • Prior experience working on AI or LLM-based applications.
  • Experience building software for B2B or complex enterprise customers.

Benefits & conditions

  • Package & Equity: Competitive base and meaningful equity package in a high-growth Series A startup.
  • Remote Flexibility: 100% remote within the US (East Coast working hours strongly preferred to overlap with EU/IL teams).
  • Impact: Work directly on AI solutions that are actively disrupting the enterprise software market.

About the company

Our client is a highly-funded, high-growth scale-up building AI-powered products that address real-world enterprise challenges. Backed by top-tier investors with a recent $50M Series A, they are redefining how companies deploy AI in production. You will be joining a highly talented, global engineering team that values ownership, thoughtful execution, and speed. ???? The Product The company has built a breakthrough Managed AI Delivery Platform. Instead of generic AI wrappers, they deliver highly tailored AI solutions to large enterprises in days, not months. At the core of the platform is a unique architecture of deep technical building blocks-spanning search, reasoning, agents, and automation. These blocks are dynamically orchestrated by a "Blueprint" (a spec file) customized for each specific enterprise use case. The product connects securely to any data source (SaaS, APIs, databases, files) and is entirely LLM-agnostic. It enables enterprises to deploy complex AI features like automated workflow triggers, deep data extraction from unstructured files, and AI-native observability dashboards. Crucially, it does all this without requiring model fine-tuning and without sharing data outside the customer's secure perimeter.

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