Forward Deployed Engineer
New
Brazil; Fully remote role across Latin AmericaFull-TimeMiddle
SalaryUSD $180,000–$230,000
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Job Details
- Experience
- 4+ years
- Required Skills
- Backend DevelopmentRESTful APIsDistributed Systems
Requirements
- 4+ years of experience building and shipping production software systems.
- Strong experience across backend development, APIs, cloud infrastructure, and distributed systems.
- Ability to independently architect and deliver complex systems with minimal oversight.
- Experience working with cloud platforms, data-intensive systems, and production environments.
- Hands-on experience with modern AI systems such as LLMs, agents, retrieval systems, or orchestration frameworks is highly desirable.
- Strong problem-solving skills with the ability to operate effectively in ambiguous and evolving environments.
- Excellent communication skills with the ability to work with both technical and non-technical stakeholders.
- Experience integrating third-party APIs, enterprise systems, or external data sources.
- Strong sense of ownership, urgency, and customer impact orientation.
- Comfort balancing rapid iteration with long-term engineering quality and maintainability.
Responsibilities
- Work directly with enterprise customers to understand workflows, constraints, and technical environments, translating them into clear engineering solutions.
- Design, build, and deploy production-grade systems across backend services, APIs, integrations, and cloud infrastructure.
- Develop and maintain scalable data pipelines, orchestration layers, and internal tools supporting AI-driven workflows.
- Own the full delivery lifecycle including discovery, architecture, implementation, testing, deployment, monitoring, and iteration.
- Debug and resolve complex issues across distributed systems, APIs, authentication flows, and customer environments.
- Collaborate with product and engineering teams to transform field learnings into reusable platform improvements.
- Rapidly prototype new features while maintaining strong engineering standards for scalability and maintainability.
- Help customers operationalize AI systems in real production environments with a focus on reliability and safety.
- Contribute to reducing time-to-impact by improving deployment speed, system robustness, and implementation efficiency.
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