Solutions Engineer

Qualifications and requirements

Senior backend engineer with a strong production track record

Comfortable on customer-facing calls — extracting requirements, explaining technical decisions, owning the relationship

Native-level English (the role is client-facing in English)

Experience with Python service layers, async architectures, and modern data tooling

Familiarity with LLM / AI agent workflows in production

Located in Europe, Brazil, or Argentina, with time zone within 5 hours of the Europe ↔ Brazil range

Available for a full-time engagement (40 hrs/week)

Job functions

You'll own a client-facing use case end-to-end. Concretely:

• Build and extend the backend functionality specific to one client's commercial property workflows
• Implement jurisdictional and client-specific extensions on top of our existing platform capabilities
• Communicate directly with the client — extract requirements, explain technical decisions, own the engineering relationship
• Evolve the way our AI agents and humans collaborate on day-to-day operational work
• Triage and maintain the slice of code you own as it stabilises into production

Conditions

Full-time contractor engagement

Mid-tier compensation in USD-equivalent (~$8–10k/month, room to flex for the right person)

Fully remote — no office requirement, no return-to-office surprises

Flat-org culture: no managers, no HR scaffolding, decisions stay close to the work

Direct client engagement — your work goes to real users and you own the relationship

A senior team where you operate as a peer

Desirable skills

• Experience with property management, real estate, or another regulated commercial vertical
  Prior solutions engineering, forward deployed, or technical consulting experience (Stripe, Figma, ThoughtWorks, Pivotal Labs, Globant, or similar)
  Comfort with full-stack work — useful as a flex but not required
  Portuguese or Spanish — useful given team distribution
  Early-stage or small-team experience

We're a small startup building an AI agent platform for property management — a system where AI agents work alongside human property managers on day-to-day operational work rather than replacing them. The platform is in production with established clients; we're now expanding to additional client engagements.

The team is small, flat by design (no managers, no HR scaffolding), and fully remote across Brazil, Argentina, and the UK. We've held this shape deliberately — it's a feature, not a phase. Our preference is for senior people who can self-direct, communicate clearly, and care about craft.