AI Platform Engineer

Our Vision & Mission At Payflows, we’re building the

AI-native operating system for finance teams .

We connect banking, payments, AI agents, and procurement into one product so finance teams can:

Stop copy-pasting between tools

Trust their data

Focus on decisions, not busywork

We care about

real usage , not slides. Everything we ship should make a controller’s or treasurer’s day meaningfully easier.

Why Join Us? We’re a small, experienced team who’ve earned our stripes at Airbnb, Luko, BNP Paribas, and Facebook. It’s not always easy—things move fast, and we expect a lot—but if you’re hungry for impact, you’ll find it here.

️ We’re builders at heart. We move fast, think deeply, ship often — and we’re always hungry to learn more. You'll collaborate closely with product and tech to craft elegant backend systems that scale as fast as we do.

Why This Role Matters

Our AI agents sit at the heart of the product and touch multiple domains:

Intake & Orchestration Agent

– Listens to users (Slack, Teams, email, product), gathers context & documents, and routes each request to the right agents / workflows.

Accounting Review Agent

– Extracts data from invoices, matches with POs, posts to ERPs, and flags anomalies.

Support & Copilot Agent

– Answers product and process questions, ingests docs for Q&A, does text-to-SQL for reporting and builds visuals.

Banking Reconciliation Agent

– Syncs bank transactions with accounting records and catches mismatches.

Short-Term Liquidity Agent

– Automates fund transfers to keep accounts topped up and optimally invested.

The underlying problems are

messy and complex , but the experience for the user should feel

obvious and simple .

As our

AI Platform Engineer , you’ll be the force multiplier behind these agents: you’ll build the platform, tooling, and especially the

intake/orchestration layer

that makes it easy and safe to launch new agents, try new ideas, and learn from production.

What You’ll Do

Industrialize Existing Agents

Put in place

monitoring, logging, and real-time feedback loops

so we can see exactly how agents behave in the wild.

Attack

latency, reliability, and failure modes

until the experience feels snappy and trustworthy.

Help define and track quality metrics (success criteria, regressions, user feedback signals).

Build the Intake & Agent Platform

Design and implement the

Intake & Orchestration layer : how user intents, context, and documents are captured, enriched, routed, and audited.

Build frameworks and SDKs that let other Payflowers

ship new agents quickly

without reinventing infra each time.

Create self-service tools for

data ingestion, evaluation, rollback, and safe experimentation .

Applied Research & ML in Production

Explore new ideas in

LLMs, tools, retrieval, and planning —with a bias toward what can realistically run in production.

Turn scrappy prototypes into

robust, observable services

that can handle real customers and real money.

Work with our data folks to build

evaluation pipelines

(offline and online) that keep us honest.

Collaboration, Writing & Mentoring

Partner with backend engineers, PMs, and designers to ship end-to-end experiences, not just models or APIs.

Write clear RFCs and docs so others can build on your work.

Help raise the bar on engineering quality through reviews, pairing, and sharing context, not just code.

What We’re Looking For

Proven ML/AI in Production (2+ years exp)

– You’ve shipped ML/AI or LLM-based features into production and learned from real-world usage and failures.

Strong Coding & Architecture Skills (5+ years exp)

– Comfortable in

Python , with good instincts for designing microservices, APIs, and data/agent pipelines.

Infrastructure Savvy

– Experience with

AWS, Docker, CI/CD . Bonus: serverless, event-driven systems, queues, and background workers.

Obsessed with Observability & Quality

– You naturally think about logs, traces, dashboards, and alerts, and you use them to

continuously improve

systems.

Team Player, Low Ego

– You do thorough reviews, ask good questions, and are happy to be challenged as long as it makes the product better.

Bonus points if you’ve worked on:

B2B SaaS or finance/ERP tools

BaaS APIs or payment infra

Serverless, AWS, event-driven architecture exposure

Our Stack

Backend : Rust / Python / Flask / SQLAlchemy

Frontend : Typescript / Vue3 / Amplify

Data : PostgreSQL / DynamoDB / S3

Infra : AWS / Serverless / Docker / Airflow / Databricks

Tooling : Git / GitLab / Sentry

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