Senior Software Engineer – AI Infrastructure

Company: Jobgether

Location: Brazil (Remote)

Type: Full-time

Remote: Yes

Posted: 2026-10-20

About this role

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Software Engineer – AI Infrastructure based in Brazil.

We are seeking an experienced software engineer to build and operate the production infrastructure that powers intelligent AI agents at scale. In this role, you will design high-performance services that support model inference, orchestration, and execution across complex distributed systems. You will help transform experimental AI capabilities into reliable, scalable production solutions serving millions of users. Working primarily with Rust, you will address critical challenges in latency, throughput, fault tolerance, observability, and infrastructure efficiency. You will collaborate closely with AI engineering, agent systems, and infrastructure teams to establish robust operational standards and ensure safe, predictable system behavior. This remote opportunity offers the chance to shape foundational AI infrastructure in a demanding, high-impact financial technology environment.

### Accountabilities

  • AI Infrastructure Development and Architecture

- Design, develop, and maintain the infrastructure layer that powers AI agent systems in production environments.
- Build high-performance backend services using Rust to support model inference, agent orchestration, and execution workflows.
- Architect scalable distributed systems capable of handling high request volumes and supporting millions of users.
- Establish foundational infrastructure components and reusable system primitives that enable AI agents to interact reliably with internal services.
- Contribute to critical architecture decisions, balancing performance, reliability, scalability, and operational cost.
- Machine Learning Infrastructure and MLOps

- Develop and maintain reliable infrastructure for model serving, deployment, evaluation, and production monitoring.
- Implement operational patt...

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