Skip to content
Updated How AI-exposed are the skills employers are hiring for? See the data →

From the employer's careers site First seen 29 Sept 2026 · Still live on 8 Nov 2026

Senior AI Builder

EarnIn Mountain View, US Hybrid senior full-time

Salary

$228,000 - $279,000 per year

Apply on EarnIn

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.

For more fresh new jobs, check out yubhub.co.

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

Ready to apply?

You apply with the employer directly. Their original posting is here: https://job-boards.greenhouse.io/earnin/jobs/7926941

Apply on EarnIn