Software Engineer

present of AI; San Francisco (CA); Presencial; USD 140.000 - 190.000; Jornada completa

Descripción de la vacante

Reflex is seeking a generalist engineer to build and run shared platform components across hosting, deployment, monitoring, and recovery, plus AI model integrations. A strong candidate ships and maintains production systems, designs reliable software, and explains tradeoffs clearly.

Deep expertise in infrastructure, AI systems, or developer tools is valued, with Python and cloud experience considered useful.

Formación

• Shipped and maintained production systems.
• Ability to design and debug reliable software.
• Ability to explain tradeoffs clearly.
• Depth in infrastructure, AI systems, or developer tools is valued.
• Experience with Python and Cloud platforms is useful.

Responsabilidades

• Build and run shared platform components across hosting, deployment, monitoring, and recovery.
• Integrate AI models into the platform.
• Contribute to core parts of the open source framework.
• Design and debug reliable software and communicate tradeoffs clearly.

Conocimientos

Python

Cloud infrastructure

Model APIs

Evaluations

Debugging

Incident response

Open source contributions

Production system ownership

Deployment automation

Herramientas

Deployment automation

Descripción del empleo

The role asks for a generalist engineer who can build and run shared platform pieces across hosting, deployment, monitoring, and recovery, plus AI model integrations and core parts of the open source framework. A strong candidate has shipped and maintained production systems, can design and debug reliable software, and explains tradeoffs clearly. Depth in at least one of infrastructure, AI systems, or developer tools matters, with Python and cloud experience being useful.

How it fits the AI era

AI shows up as real platform work: shared model integrations, faster and cheaper inference, and evaluations that catch quality drops and production failures. Much of the job stays human, such as judging tradeoffs, designing interfaces, diagnosing incidents, and deciding what to reuse across customers. The engineer sits where AI features meet the reliability and cost of running them.

How it builds AI experience

The work offers hands on practice with model APIs, inference performance tuning, and building evaluations, all inside a company whose product is an AI application builder in Python. Someone can build readiness by shipping a small AI feature end to end, measuring latency and cost, and writing tests and evaluations around model output. Experience with deployment automation and application runtimes also helps, since AI features here run on the same platform as everything else.

Worth showing

• Production system ownership
• Python and cloud infrastructure
• Model APIs and evaluations
• Debugging and incident response
• Open source contributions

This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role.

About Reflex

Pure Python web framework and AI application builder compiling interactive full-stack apps to React and FastAPI, per the company.