Full Stack Engineer - Enterprise AI Automation NEW

The Briefed

Menlo Park (CA)

Hybrid

USD 130,000 - 195,000

Full time

2 days ago
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Benefits offered by this job

Equity ownership
401(k) company match
Premium healthcare
Lifestyle wallet

Job summary

Robinhood is seeking a Software Engineer to join the Enterprise Build team, turning AI-born prototypes into production-grade enterprise services across Finance, HR, Legal, and Compliance.

You will evaluate AI-generated prototypes, build backend and full-stack services with SSO, audit logging, secrets management, and CI/CD, while leveraging AI agents for initial assessment, porting, and test generation in a regulated financial environment.

Qualifications

  • 3+ years of professional software engineering experience building production systems.
  • Experience with cloud infrastructure, containers, IaC, CI/CD, and serverless architectures.
  • Hands-on experience with AI-native development and agentic tooling.
  • Strong ability to extract core workflow requirements and scope projects clearly.
  • Excellent written and verbal communication with non-engineering stakeholders.

Responsibilities

  • Evaluate internal AI-generated prototypes and decide what to harden, rebuild, or redirect.
  • Build and ship backend and full-stack services meeting enterprise standards for SSO, audit logging, secrets management, security compliance, and CI/CD.
  • Use AI coding agents for first-pass assessment, porting, and test generation; develop MCP servers, sub-agents, and agent skills as production artifacts.
  • Collaborate with non-technical business partners to translate workflows into enterprise software.
  • Deliver operational artifacts including runbooks, evals, tracing dashboards, and performance monitors.
  • Partner with Enterprise Platforms to convert repeating solutions into reusable platform capabilities.

Skills

3+ years of software engineering
Cloud & Serverless
AI-Native Development
Product Sense & Scoping
Cross-Functional Communication

Tools

GCP
IaC
CI/CD
Serverless
Agentic coding tools

Job description

At Robinhood, our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades—representing the largest transfer of wealth in human history.

Robinhood is seeking a Software Engineer to join the Enterprise Build team—the high-leverage unit responsible for turning the company's best AI-built internal prototypes into production-grade enterprise services. Across Finance, HR, Legal, and Compliance, Robinhood employees utilize sanctioned AI tools to prototype custom software solutions. Operating like an internal forward-deployed engineering pod, your mission is to evaluate these "vibe-coded" prototypes and rebuild them into enterprise-grade services that meet Robinhood’s strict security, auditability, and infrastructure standards (SSO, secrets management, CI/CD, audit logging). You will leverage AI agents for initial assessment, code porting, and scaffolding, ensuring fast-paced software delivery inside a heavily regulated financial environment.

Key Responsibilities
  • Prototype Assessment & Architecture: Evaluate internal, AI-generated prototypes from business teams (Finance, HR, Legal, Compliance), making technical decisions on what to harden, rebuild, or redirect to maximize business value.
  • Enterprise Service Engineering: Build and ship production-grade backend and full-stack services meeting enterprise standards for SSO, audit logging, secrets management, security compliance, and CI/CD pipelines.
  • AI-Native Engineering: Utilize AI coding agents for first-pass code assessment, porting, and test generation; build Model Context Protocol (MCP) servers, sub-agents, and agent skills as production artifacts.
  • Embedded Business Collaboration: Work directly alongside non-technical business partners to translate operational workflows into adopted enterprise software.
  • Operational Handoffs & Observability: Deliver operational artifacts—including runbooks, evals, tracing dashboards, and performance monitors—as part of feature completion.
  • Platform Compounding: Partner with the Enterprise Platforms team to convert repeating custom solutions into reusable platform capabilities across Robinhood.
Requirements
Software Engineering & AI-Native Depth
  • 3+ years of professional software engineering experience building and running backend or full-stack production systems.
  • Cloud & Serverless Depth: Hands-on experience with cloud infrastructure (GCP preferred), containerized microservices, infrastructure as code (IaC), CI/CD pipelines, and serverless architectures.
  • AI-Native Development: Daily fluency with agentic coding tools, hands-on experience building LLM-powered applications or agentic workflows, and strong judgment when reviewing, hardening, and productionizing AI-generated code.
  • Product Sense & Scoping Discipline: Proven ability to extract core workflow requirements, eliminate non-essential scope, and rapidly execute projects through clean operational handoffs.
  • Cross-Functional Communication: Outstanding written and verbal communication skills with a track record of collaborating directly with non-engineering stakeholders (Legal, HR, Finance).
Location & Hybrid Work Logistics
  • Ability to work in-person at least 3 days per week out of Robinhood's Menlo Park, CA office.
Preferred Qualifications
  • Prior software engineering experience within fintech, financial services, or highly regulated corporate environments.
  • Deep technical understanding of enterprise security frameworks, OAuth/SSO integration, SOC 2 controls, and automated audit logging.
Total Rewards & Benefits
  • Compensation & Equity: Zone-based base salary ($130,000 – $195,000 USD) + performance-driven multipliers + bonus programs + equity ownership + 401(k) company match.
  • Comprehensive Healthcare: 100% employer-paid medical, dental, and vision insurance for employees (90% coverage for dependents), plus fertility benefits and mental health programs.
  • Lifestyle Wallet: Flexible spending account for wellness, education, continuous learning, and lifestyle enrichment.
  • In-Office Perks: Premium office workspaces, catered meals, team events, paid time off, company holidays, paid sick leave, and parental leave.
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