Backend Platform Engineer (Python/Django + GCP) | Remote – LATAM

About the company

We’re hiring for a pre-seed AI startup building AI agents that automate the day-to-day operations of behavioral health clinics: clinical documentation, patient calls and scheduling, intake, medical coding and billing, and integrations with EHR systems. The platform already serves thousands of clinicians, from solo practices to large group clinics. The engineering team is small and moves fast, and every engineer has real ownership of the product and the infrastructure behind it.

About the role

You’ll join a three-person engineering team as a backend-focused platform engineer. About 60% of your time goes to building product features and about 40% to running the infrastructure they depend on. The role is fully remote from Latin America.

What you’ll own

• Build backend features in Python and Django on a Postgres database
• Run the company’s cloud infrastructure on GCP: set up VMs, keep Postgres fast and reliable (indexes, read replicas), and fix things when they break
• Build the sandboxing layer that keeps each customer’s agent isolated, so one agent can never affect another customer’s data or systems
• Track new AI models, tools and open-source projects, and bring the useful ones into the product
• Automate repetitive engineering work wherever you can

Must-Have

• Deep Postgres expertise: query optimization, indexing, partitioning, and hands-on recovery from production outages
• Strong backend experience with Python and Django, with a proven record of shipping features to production end to end
• Experience running cloud infrastructure yourself (provisioning VMs, deploying, monitoring and troubleshooting incidents)
• Experience in startups or small product teams where you owned what you built, from design to production
• Comfortable splitting your time between product work and infrastructure work
• Professional English for day-to-day remote collaboration

Nice to Have

• Experience building sandboxed or isolated execution environments (Docker, gVisor, Firecracker or similar) or securing multi-tenant systems
• Hands-on PyTorch experience, going beyond standard LLM API integrations
• Experience with GCP specifically
• Infrastructure as Code and CI/CD automation (e.g., Terraform, GitHub Actions)

What’s offered

• Base salary: USD 8K–11K/month
• Competitive equity
• Full-time, 100% remote (LATAM)
• Paid trial period before committing
• Work on cutting-edge AI with direct impact on the product