# Senior AI Builder

**Company**: EarnIn
**Location**: Mountain View, US
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Salary**: $228,000 - $279,000
**Category**: Engineering
**Industry**: Finance

**Apply**: https://job-boards.greenhouse.io/earnin/jobs/7926941?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_89921808-74d

## Description

## Job Overview

EarnIn is seeking a Senior AI Builder to join their Engineering team in Mountain View. As a pioneer in earned wage access, EarnIn's mission is to deliver real-time financial flexibility for those living paycheck to paycheck. The successful candidate will work at the intersection of platform engineering, developer experience, and applied AI, focusing on building AI-native capabilities.

## 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

- 4+ 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

- Hands-on experience with LLM integration patterns, prompt engineering, RAG pipelines, tool/function calling, and agent architectures

- Proficiency 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

- Harnesses built are actively used and well-documented

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

## Benefits

The Mountain View base salary range for this full-time position is $228,000 - $279,000, plus equity and benefits. This is a hybrid position requiring 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/7926941?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)