EarnIn
Senior AI Builder
Mountain View, US · Senior · Full-time
Sponsorship not specified$228k-$279kDetected 12 days ago
Platform EngineeringLLMsRAGAI OrchestrationLeadership
About the role
- We're not hiring a software engineer who dabbles in AI.
- If that bar excites you rather than intimidates you, keep reading.
- Our salary ranges are determined by role, level, and location.
Responsibilities
- You'll design how agents think - prompts, reasoning chains, tool calls, and the full architecture beneath them.
- From MCP servers and agent scaffolding to context harnesses and a Skills Marketplace, you're building the layer every squad at EarnIn builds on.
- You'll challenge each stage - from scoping and design through to review, testing, deployment, and monitoring - and replace manual friction with agentic workflows wherever it makes sense.
- Evaluation pipelines, automated PR hygiene, deployment gating, generation-to-merge metrics: you'll build the scaffolding that makes governed AI fast, not slow.
- You'll own the evaluation infrastructure - building the pipelines, benchmarks, and quality gates that tell us whether our AI is working, degrading, or ready to ship.
- EarnIn's engineering leads are running experiments.
- Less "interesting prototype," more "thing we rely on." You'll build reusable libraries, templates, and reference implementations that give squads a running start on AI integration, so no one has to solve the same problem twice
- The harnesses you build are actively used and well-documented
- 4+ years of full-time software engineering experience, with at least 2 years building tooling, platforms, or internal developer products
Requirements
- 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 and comfort working across the stack when needed
- Experience with MCP, LangChain, or comparable orchestration frameworks
- Experience with open source LLM models
- Experience in fintech or regulated/security-sensitive environments
- If you have any concerns about the use of AI in our hiring process, please connect with your recruiter.
Compensation
- The Mountain View base salary range for this full-time position is $228,000 - $279,000, plus equity and benefits.
Benefits
- The Mountain View base salary range for this full-time position is $228,000 - $279,000, plus equity and benefits.
Company info
- At EarnIn, we believe that the best way to build a financial system that works for everyday people is by hiring a team that represents our diverse community.
Visa & Work Authorization
- ildbirth, breastfeeding, or related medical conditions), gender identity, gender expression, national origin, ancestry, citizenship, age, physical or mental disability, legally protected medical condition, family care st
This listing is sourced directly from EarnIn's careers page and normalized into a canonical job model.