# AI Builder

**Company**: EarnIn
**Location**: Mountain View, US
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Salary**: $189,000 - $231,000
**Category**: Engineering
**Industry**: Finance

**Apply**: https://job-boards.greenhouse.io/earnin/jobs/8167727?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_abafcc8b-b8c

## Description

EarnIn is seeking an AI Builder to work at the intersection of platform engineering, developer experience, and applied AI. The successful candidate will design, build, and ship AI-native engineering capabilities that enable the company's growth.

## Responsibilities

- Design and build agents that take real actions, including prompts, reasoning chains, tool calls, and architecture

- Develop production infrastructure, including MCP servers, agent scaffolding, context harnesses, and a Skills Marketplace

- Challenge and improve the product development lifecycle by replacing manual friction with agentic workflows

- Build evaluation infrastructure, including pipelines, benchmarks, and quality gates to ensure AI reliability and trustworthiness

- Create reusable libraries, templates, and reference implementations for AI integration

## Requirements

- 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

- 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

## Nice to Have

- Hands-on experience with reinforcement learning, especially RLHF, RLAIF, or reward modeling in applied product contexts

- Experience in fintech or regulated/security-sensitive environments

- Hands-on work with AI governance, bias evaluation, audit logging, model cards

- Exposure to multi-step reasoning pipelines or human-in-the-loop system design

## What Success Looks Like

- Teams across engineering can ship AI-assisted features faster, with fewer rework loops

- The harnesses built are actively used and well-documented

- AI pilot quality and safety metrics are visible, trustworthy, and improving

## Benefits

- Salary range: $189,000 - $231,000 per year

- Equity and benefits package

## Hybrid Work Arrangement

- This is a hybrid position in Mountain View that requires in-office work 2 days a week.

## Skills

### Required
- LLM integration patterns
- prompt engineering
- RAG pipelines
- tool/function calling
- agent architectures
- MCP
- LangChain
- open-source LLM models

### Nice to have
- reinforcement learning
- RLHF
- RLAIF
- reward modeling
- fintech
- regulated/security-sensitive environments
- AI governance
- bias evaluation
- audit logging
- model cards
- multi-step reasoning pipelines
- human-in-the-loop system design

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/earnin/jobs/8167727?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)