AI Automation Engineer (Backend / Platform)

Job Description

• Full-Time
• Remote
• 2.400 USD

We’re building the future of SMB lending.

Today, 9 out of 10 SMBs that apply for financing are rejected. We believe AI can change that.

we’re building the intelligence layer that helps financial institutions approve more businesses — and we’re looking for builders who want to build it with us.

We’re looking for people who enjoy going from zero to one, move fast, take ownership, and care more about shipping meaningful products than titles.

You’ll work side by side with the founders, influence product and architecture, and build technology with real-world impact.

The Role

We’re looking for an AI Automation Engineer (Backend / Platform) to own the system that orchestrates our AI models and turns their outputs into reliable product decisions.

While our AI/ML engineers focus on the model layer, you’ll own the infrastructure around those models: backend services, queues, workflows, databases, integrations, reliability, and observability.

This is not a ticket-queue role. You’ll have real ownership of a critical layer of the platform and help determine how our AI systems operate reliably in production.

Day-to-Day Work

• Build and maintain the backend systems that orchestrate AI/ML models and transform model outputs into product decisions.
• Develop production services using TypeScript and Node.js.
• Design and operate asynchronous and queue-based workflows.
• Implement robust patterns for retries with backoff, idempotency, dead-letter handling, replays, and backfills.
• Work extensively with Postgres and Supabase, including schema design, migrations, query performance, and multi-tenant architecture.
• Connect models with APIs, data pipelines, databases, and product workflows.
• Build systems that can reliably handle failures and recover without compromising data or decisions.
• Implement structured logging, metrics, event tracing, and failure classification.
• Monitor production workflows and continuously improve reliability and performance.
• Build and maintain internal and partner-facing APIs when needed.
• Collaborate directly with the founders, AI/ML engineers, and product team on architecture and technical priorities.
• Take systems from initial architecture through deployment, monitoring, debugging, and continuous improvement.

What We’re Looking For

• 5+ years of backend or platform engineering experience.
• Strong production experience with TypeScript and Node.js.
• Deep understanding of asynchronous and queue-based architectures.
• Hands-on experience with job queues, retries, idempotency, dead-letter handling, replays, and backfills.
• Strong Postgres knowledge, including schema design, migrations, and query performance.
• Experience with Supabase or similar platforms.
• Strong understanding of reliability and observability in production systems.
• Experience with structured logging, metrics, tracing, debugging, and failure analysis.
• Experience integrating LLMs, AI models, or ML services into production systems.
• Strong API and systems-integration skills.
• Ability to make pragmatic architecture decisions and take ownership from design through production.
• Comfortable operating in an early-stage, zero-to-one environment.

Strong Plus

Experience with any of the following would be especially valuable:

• Fintech, lending, credit, or risk systems
• Partner-facing API development
• API versioning and authentication
• OAuth2 or mTLS
• Signed webhooks
• Idempotent API design
• Quotas and rate limiting
• OpenAPI
• Row-level security and multi-tenant architectures
• AI/ML inference or orchestration systems
• High-reliability decision systems
• Spanish or experience building products for the Mexican/LATAM market

Who Thrives Here

You’ll probably enjoy this role if you:

• Like building systems from zero to one
• Want ownership rather than a queue of predefined tickets
• Enjoy solving complex backend and reliability problems
• Think carefully about what happens when systems fail, not only when they work
• Are uncomfortable shipping something you cannot debug from logs
• Can move quickly without sacrificing reliability
• Want to work closely with founders and influence technical decisions
• Care about building technology that makes real-world decisions

Quarterly Success

Success in your first quarter would look like:

• Shipping reliable workflows connecting models, data, and product decisions
• Improving the reliability of asynchronous and queue-based processes
• Establishing strong observability across critical workflows
• Implementing clear logging, metrics, tracing, and failure-handling patterns
• Reducing failed or stuck jobs through better retry, idempotency, and recovery mechanisms
• Making production issues easier and faster to diagnose
• Building reusable backend infrastructure that accelerates future AI-powered features
• Improving platform scalability as model usage and data volume increase
• Consistently shipping, measuring results, identifying bottlenecks, and iterating

Most Important Skills

• TypeScript / Node.js
• Asynchronous & Queue-Based Systems
• Postgres / Supabase
• Backend & Platform Architecture
• Reliability & Observability
• API & Systems Integration
• Production AI/ML Integration
• Zero-to-One Ownership