About H6

H6 builds governed AI automation for finance teams.We combine AI with clear business controls, auditability, and human oversight to automate operational workflows without replacing the systems customers already use.Our software runs in production for real customers every day. We are a small, senior team that ships continuously and works closely with customers.

The role
You will work across our backend services, integrations, data layer, and web application.You will design APIs and data models, build integrations with external business systems, contribute to AI-assisted features, and develop the interfaces users rely on to configure and review automation.You will own features end-to-end, from design through implementation, testing, review, deployment, and production support.

What you’ll do

Design and build APIs and business logic in Python using FastAPI, SQLAlchemy, and Pydantic
Evolve a multi-tenant PostgreSQL data model, including schema design, migrations, performance, and data isolation
Integrate with third-party finance and business platforms
Handle authentication, retries, idempotency, reconciliation, and partial failures
Contribute to AI-assisted features using LLMs and structured outputs
Build reliable controls, evidence, and review workflows around AI-generated outcomes
Build and ship frontend features in React and TypeScript
Debug issues across the full processing path
Write automated tests and ship through peer-reviewed pull requests and CI/CD

What we’re looking for:
Must have

At least four years of experience building production web applications
Strong Python backend engineering skills
Solid PostgreSQL experience, including schema design, migrations, and query performance
Experience integrating third-party APIs where documentation and external data are imperfect
Practical React and TypeScript experience
A good understanding of reliability concerns such as retries, concurrency, and failure recovery
A bias toward small, reviewable changes and root-cause fixes
The ability to translate complex business requirements into maintainable software

Nice to have

Hands-on experience with LLM APIs, structured extraction, prompt design, embeddings, or AI evaluation
Experience combining probabilistic AI with deterministic business controls
Familiarity with explainability, auditability, or human-in-the-loop systems
Experience in finance, accounting, procurement, or another data-heavy business domain
Browser or desktop automation experience
Experience with Azure, Docker, queues, and automated CI/CD

How we work

Small team, high ownership
Production reliability over prototypes
All changes go through meaningful review and automated checks
We document important decisions and operational constraints
AI tooling is part of how we build, but engineering judgement remains essential

Sound like you?We’d love to hear from you.Please send us your CV together with a short note introducing yourself and outlining any relevant experience.Where possible, include an example of a project, integration, or production system you have worked on and the role you played in delivering it.

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