Senior AI Builder: Production-Grade Agents & Tools

EarnIn Bfwf

Mountain View (CA)

Hybrid

USD 228,000 - 279,000

Full time

20 hours ago
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Job summary

EarnIn is hiring an AI-focused software engineer to design, build, and deploy AI-powered agents and tooling. You will shape prompts, tooling, and governance, ensuring production-grade AI that users rely on. This role sits at the intersection of platform engineering and applied AI in a hybrid Mountain View setting.

You’ll sculpt end-to-end pipelines, evaluation gates, and reusable patterns so teams can ship faster and safer AI features. A background in software plus AI system design is essential.

Qualifications

  • 4+ years of software engineering experience
  • Hands-on experience with LLM integration patterns
  • Proficiency across the stack
  • Experience with MCP, LangChain, or comparable orchestration frameworks
  • Experience with open source LLM models
  • Strong opinions about developer experience and usability of tools

Responsibilities

  • Design how agents think: prompts, reasoning chains, tool calls, and the underlying architecture
  • Rethink the PDLC: scoping, design, review, testing, deployment, monitoring with agentic workflows
  • Own evaluation infrastructure: pipelines, benchmarks, quality gates for AI features
  • Turn pilots into production: create reusable libraries and templates for AI integration

Skills

LLM integration
Cross-stack proficiency
Developer experience

Education

CS/CE degree or higher

Tools

LangChain
MCP
Open source LLMs

Job description

EarnIn is hiring an AI-focused software engineer to design, build, and deploy AI-powered agents and tooling. You will shape prompts, tooling, and governance, ensuring production-grade AI that users rely on. This role sits at the intersection of platform engineering and applied AI in a hybrid Mountain View setting.

You’ll sculpt end-to-end pipelines, evaluation gates, and reusable patterns so teams can ship faster and safer AI features. A background in software plus AI system design is essential.

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