Bilingual Forward Deployed Engineer (English/Spanish)

Posted 6 Days Ago
Be an Early Applicant
San Jose, CA, USA
In-Office
115K-130K Annually
Mid level
Artificial Intelligence • Fintech • Security • Software
The Role
Build and deploy customer-specific integrations, configurations, APIs, data pipelines, and compliance solutions for strategic fintech customers. Translate customer needs into technical requirements, troubleshoot production issues, integrate third-party identity and compliance vendors, and turn one-off solutions into reusable tools and documentation. Collaborate with product and engineering teams to shape the roadmap. The role requires backend development, cloud deployment, customer-facing communication, and Spanish fluency.
Summary Generated by Built In
About AiPrise

AiPrise is a YC-backed (S22) global compliance orchestration platform helping fintechs, marketplaces, and payment companies verify and onboard customers worldwide. We integrate with 80+ identity and compliance vendors to deliver a holistic view of risk. We're building AI-powered compliance agents to transform KYB, AML, sanctions screening, and risk scoring, enabling customers to onboard faster, reduce manual reviews, and prevent financial crime.

We operate across 200+ countries.

The Role

This is not a typical engineering role. As a Forward Deployed Engineer, you'll sit at the intersection of engineering, product, and customer success. You'll work directly with AiPrise's largest and most strategic customers to understand their compliance challenges, build custom integrations, and ship solutions that make the platform indispensable.

You won't be waiting for a ticket to land in your queue. You'll be in the room with the customer, scoping the problem, writing the code, and deploying the fix, sometimes in the same day.

This role is ideal for engineers who get energy from solving real problems for real people, and who want their work to have visible, immediate impact.

What You'll Do

Customer-facing engineering. Embed with key customers to understand their onboarding, KYB, and compliance workflows. Translate their pain points into technical solutions, whether that's a custom integration, a new API endpoint, or a workflow tweak.

Build and ship fast. Design and deploy customer-specific configurations, integrations with third-party compliance and identity vendors, and custom data pipelines. Own the full lifecycle from scoping through production.

Bridge product and engineering. Bring customer insights back to the core product team. Identify patterns across customer needs that should become platform features. Help shape the roadmap based on what you're seeing in the field.

Technical problem-solving under pressure. Debug production issues in real time. Troubleshoot complex vendor integrations across 80+ providers. Be the person customers trust to get things working.

Scale what works. Turn one-off solutions into reusable patterns. Write internal tooling, documentation, and runbooks that make the next deployment faster for everyone.

What We're Looking For
  • 3+ years of software engineering experience building and shipping production systems. You've written code that real users depend on.

  • Strong backend fundamentals. Proficiency in at least one modern language (Python, Go, Java, Node.js). Experience with REST APIs, microservices, and relational databases (PostgreSQL, MySQL).

  • Customer-facing comfort. You can hold your own in a call with a VP of Compliance at a fintech. You listen well, communicate clearly, and know how to translate business language into technical requirements (and vice versa).

  • Spanish fluency required. You can read and write in Spanish to support our Spanish-speaking customer base directly.

  • Bias toward action. You don't wait for perfect specs. You scope, build, and iterate. You're comfortable with ambiguity and thrive when given ownership.

  • Cloud experience. Hands-on with AWS (preferred), GCP, or Azure. Familiar with CI/CD, Docker, and modern deployment practices.

Nice to Have
  • Experience in fintech, regtech, payments, or fraud/risk detection

  • Familiarity with compliance workflows (KYC/KYB, AML, sanctions screening)

  • Experience integrating with third-party APIs at scale

  • Frontend skills (React, TypeScript) for building internal tools or customer-facing dashboards

  • Background working with ML/AI systems or data-intensive applications

Why This Role
  • Your work has direct, measurable impact on customers and revenue. No abstraction layers between you and the outcome.

  • You'll learn the compliance and fintech space deeply, working across diverse customer environments.

  • You're joining a 36-person, fast-moving team where your code hits production in days, not months.

  • Competitive compensation with meaningful equity in a YC-backed company with strong momentum.

  • In-person team in San Jose, working alongside the founders and core engineering team.

Skills Required

  • 3+ years of software engineering experience building and shipping production systems
  • Proficiency in at least one of Python, Go, Java, or Node.js
  • Experience with REST APIs, microservices, and relational databases such as PostgreSQL or MySQL
  • Ability to communicate effectively with customers and translate business requirements into technical solutions
  • Spanish fluency, including reading and writing
  • Hands-on cloud experience with AWS, GCP, or Azure
  • Familiarity with CI/CD, Docker, and modern deployment practices
  • Experience in fintech, regtech, payments, or fraud/risk detection
  • Familiarity with KYC/KYB, AML, and sanctions screening workflows
  • Experience integrating third-party APIs at scale
  • Frontend experience with React and TypeScript
  • Experience with ML/AI systems or data-intensive applications
Am I A Good Fit?
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The Company
46 Employees
Year Founded: 2022

What We Do

AiPrise is an AI-powered global compliance platform that provides identity verification, fraud prevention, and risk mitigation solutions. It helps businesses streamline onboarding and compliance processes by unifying data and AI agents.

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