AI Platform Engineer — Build Production-Grade Agents

Earnin; Mountain View, Northern (CA, KY); Hybrid; USD 189,000 - 231,000; Full time

Job summary

EarnIn is hiring an AI-driven software engineer who builds production-grade AI agents and tooling. You’ll work at the intersection of platform engineering, developer experience, and applied AI in Mountain View, with a hybrid in-office cadence.

The role emphasizes designing practical agent architectures and end-to-end AI workflows that ship to real users. You’ll own the entire lifecycle from design to deployment, write scalable code, and contribute to a robust evaluation and governance stack to

Qualifications

• 3+ years of full-time software engineering experience, with at least 2 years building tooling, platforms, or internal developer products.
• Bachelor’s, Master’s, or PhD in Computer Science, Computer Engineering, or a related technical discipline, or equivalent industry experience. We care about what you’ve built, not where you studied.
• Hands-on experience with LLM integration patterns — prompt engineering, RAG pipelines, tool/function calling, and agent architectures
• Proficiency and comfort working across the stack when needed
• Experience with MCP, LangChain, or comparable orchestration frameworks
• Experience with open source LLM models
• Strong opinions about developer experience and a track record of building things other engineers actually use

Responsibilities

• Design how agents think — prompts, reasoning chains, tool calls, and the full architecture beneath them.
• Build production infrastructure for MCP servers, scaffolding, context harnesses, and a Skills Marketplace.
• Rethink the product development lifecycle to replace friction with agentic workflows.
• Own the evaluation infrastructure — pipelines, benchmarks, and quality gates for AI.
• Turn pilots into production by creating reusable libraries, templates, and reference implementations.

Skills

Software engineering

LLM integration

Across-stack proficiency

Developer experience

Agent architectures

Education

Bachelor’s/Master’s/PhD in CS/CE or related

Tools

MCP

LangChain

Open-source LLM models

Job description

EarnIn is hiring an AI-driven software engineer who builds production-grade AI agents and tooling. You’ll work at the intersection of platform engineering, developer experience, and applied AI in Mountain View, with a hybrid in-office cadence.

The role emphasizes designing practical agent architectures and end-to-end AI workflows that ship to real users. You’ll own the entire lifecycle from design to deployment, write scalable code, and contribute to a robust evaluation and governance stack to