AI Engineer

About the Role EarnIn is making AI-native engineering a core capability—designing, building, and shipping AI-enabled features that run in production. You’ll design how agents think (prompts, reasoning chains, tool calls) and build the production scaffolding that makes AI fast, safe, and durable. This role sits at the intersection of platform engineering, developer experience, and applied AI, partnering with architects, domain leads, and product engineers to enable fast adoption across squads. What You'll Do

• Design how agents think — prompts, reasoning chains, tool calls, and the underlying architecture (including MCP servers, agent scaffolding, context harnesses, and a Skills Marketplace)
• Build production infrastructure and drive a PDLC overhaul to replace manual friction with agentic workflows, from scoping to monitoring
• Own evaluation infrastructure — pipelines, benchmarks, quality gates that reveal when AI is working, degrading, or ready to ship; design eval harnesses and set latency baselines
• Turn pilots into production — create reusable libraries, templates, and reference implementations so squads can fork and ship quickly What We're Looking For
• 4+ years of full-time software engineering experience, with at least 2 years building tooling, platforms, or internal developer products
• Bachelor’s/Master’s/PhD in CS/CE or related field, or equivalent industry experience; track record matters more than degree
• Hands-on experience with LLM integration patterns — prompt engineering, RAG pipelines, tool/function calling, and agent architectures
• Proficiency across the stack and comfort working across components 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 Nice to Have
• Hands-on RL (RLHF/RLAIF or reward modeling) in applied product contexts
• Experience in fintech or regulated/security-sensitive environments
• AI governance work — bias evaluation, audit logging, model cards
• Exposure to multi-step reasoning pipelines or human-in-the-loop system design Compensation & 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 role in Mountain View requiring in-office work 2 days a week.