Founding Engineer

About Frontier

Frontier is a subsidiary of Fresh Prints. Fresh Prints is a New York-based, fast-growing, fully remote, 150-person company with most of our team based in India and the Philippines. A few years ago, Fresh Prints began helping other fast-growing companies build their teams. We got so good at it that we spun out a new company to focus exclusively on that — and called it Frontier.

At Frontier, we help companies grow full-time, cross-functional teams abroad. We hire the smartest people and place them into the best companies. In three years, we’ve never lost a client. If you’re interested in a Frontier role and you apply and are accepted, we’ll screen you through a couple of internal interviews and aim to get you an interview for a full-time job within the month.

Think of us as your personal talent agent — and good luck with the application! 😊

The Role: Founding Engineer

Your mandate is to build the core systems, advanced backend products, and engineering culture that let Frontier scale our leading enterprise automation and workflows.

This means owning complex production systems, optimizing internal operational tooling, building agent-powered workflows, and creating the structural harnesses that let engineers and operators ship software quickly and safely with AI.

You will work directly with our leadership team and senior operators on the company’s highest-leverage engineering problems: end-to-end data processing speed, high-concurrency search quality, operator productivity, platform onboarding, client intelligence, and AI-assisted operations.

We are only interested in someone who takes a long-term ownership mentality to technical architecture, infrastructure stability, and core business partnerships.

Existing Tech Stack

• Backend: Python (Django and FastAPI frameworks)
• Database: PostgreSQL Database and associated ORM frameworks
• Infrastructure: AWS Services and/or Railway cloud architectures
• AI/Agentic Interface: Claude Code, Codex, Cursor, Model Model Context Protocol (MCP) tools, custom scripts, evaluation frameworks, and real-time observability pipelines

Key Responsibilities

• AI Function Leadership: Build and lead an AI-native engineering function with clear standards, fast shipping, and strong production discipline.
• Core Infrastructure Improvement: Improve our core distributed systems, backend architectures, data ingestion layers, search, quoting, data management, payments, reporting, and internal copilots.