Founding Software Engineer, Agents

Gallop Intelligence Inc.

Palo Alto (CA)

Vor Ort

USD 180.000 - 280.000

Vollzeit

14 Tage+

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Benefits dieser Stelle

Equity
Competitive salary

Zusammenfassung

Gallop Intelligence Inc. in Palo Alto is seeking a Founding Software Engineer on Agents to shape our platform and culture. You will design and own agent systems, multi-step planning, tool use, and long-running orchestrations inside enterprise-scale environments.

This role demands deep production experience with LLMs, strong systems thinking, and a commitment to fast, reliable delivery using Python, TypeScript, and React.

Qualifikationen

  • Experience building with LLMs in production and reliability.
  • Ability to translate complex infra into architecture.
  • Strong full-stack development experience with Python/TypeScript/React.

Aufgaben

  • Design and build agent systems end-to-end.
  • Ship scalable architectures for enterprise use.
  • Own code quality and platform reliability.

Kenntnisse

LLMs in production
Agentic systems
Full-stack development
Python
TypeScript
React
Ownership mindset

Tools

RAG pipelines
Orchestration systems
Evaluation harnesses

Jobbeschreibung

About the Role

There is a $2T backlog of legacy enterprise systems blocking AI adoption. It is humanly impossible to clear manually.

At Gallop Intelligence, we are building the AI platform to modernize these systems for Fortune 500 companies. Founded by veterans from Lovable, Google, and Amazon, we move incredibly fast. We went from zero to paying large enterprise customer in just 3 months, and our platform is already deployed inside some of the largest enterprises in the world.

What You Will Do

As a Founding SWE on Agents, you will have outsized impact. You won't just be writing code; you will be shaping our technical DNA, culture, and architecture. You will design and build the agent systems at the heart of our platform: multi-step planning, tool use, orchestration across long-running tasks, context management over massive legacy codebases, and the evaluation harnesses that make agent behavior measurable and reliable. You will architect, ship, and own these systems end-to-end, and you'll see your work run inside some of the largest enterprises in the world.

You Are a Good Fit If
  • You've built with LLMs in production: You have hands-on experience building agentic systems, RAG pipelines, or LLM-powered products. Not just demos, but systems with real users and real reliability requirements.
  • You think in systems: You quickly comprehend intricate technical landscapes and translate them into elegant architectural designs, from agent loops to evals to failure modes.
  • You have deep technical chops: You possess extensive professional experience with full-stack development. Our core stack is Python, TypeScript, and React.
  • You want extreme ownership: You are willing to dive into the unknown, pick up whatever knowledge you're missing fast, and do what it takes to get the job done.
  • You have high standards: You take pride in your craft and care deeply about building fast, reliable, and modern experiences that delight customers.
  • You thrive in chaos: You are highly comfortable with ambiguity and figuring things out in a fast-paced, high-growth environment.
What We Offer
  • Competitive salary and equity
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