Senior AI Platform Engineer — Production & DX

EarnIn

Mountain View (CA)

Hybrid

USD 228,000 - 279,000

Full time

14 days+
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Benefits offered by this job

Equity

Job summary

EarnIn is building AI-native engineering and seeks an AI builder who writes great software. You’ll operate at the intersection of platform engineering, developer experience, and applied AI in Mountain View, with a hybrid in-office requirement.

This full-time role offers a base in the $228,000–$279,000 range plus equity and benefits. You’ll design agent thinking, build production infrastructure, and create evaluation pipelines to govern AI across squads.

Qualifications

  • 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 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 across the stack and ability to build things engineers actually use.
  • Experience with MCP, LangChain, or comparable orchestration frameworks.
  • Experience with open source LLM models.

Responsibilities

  • Design how agents think — prompts, reasoning chains, tool calls, and the architecture beneath them.
  • Build production infrastructure for AI features, including MCP servers, context harnesses, and a Skills Marketplace.
  • Develop an evaluation pipeline with benchmarks, quality gates, and governance for AI-assisted workflows.

Skills

LLM integration patterns
MCP/LangChain
Tool/function calling
Open source LLM models
Developer experience mindset
Cross-stack proficiency

Education

Bachelor/Master/PhD in CS or CE, or equivalent

Tools

LangChain
MCP
LLM platforms

Job description

EarnIn is building AI-native engineering and seeks an AI builder who writes great software. You’ll operate at the intersection of platform engineering, developer experience, and applied AI in Mountain View, with a hybrid in-office requirement.

This full-time role offers a base in the $228,000–$279,000 range plus equity and benefits. You’ll design agent thinking, build production infrastructure, and create evaluation pipelines to govern AI across squads.

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