(1608) Forward Deployed Engineer

Role overview

Work directly with business teams to turn complex, loosely defined needs into deployed AI solutions. You will own delivery from discovery and prototyping through production adoption, connecting applications to enterprise systems and demonstrating measurable value. Successful implementations should also produce reusable tools and practices that can help other teams solve similar problems.

Responsibilities

- Work with business stakeholders to understand workflows, identify valuable use cases, and prioritize early solutions. - Design, build, and deploy full-stack applications that address business needs and support rapid learning. - Integrate AI applications with enterprise data, APIs, internal platforms, and other business systems, including where documentation or access is limited. - Support implementation and adoption by working directly with users and adjusting delivery to their needs. - Balance scope, speed, and quality, making trade-offs and contributing hands-on development and troubleshooting. - Turn successful projects into reusable tools, frameworks, playbooks, and building blocks. - Share feedback with platform and engineering teams on model performance, limitations, and opportunities for improvement.

Requirements

- At least five years of software engineering experience, with full-stack, frontend, backend, API, and system architecture skills. - At least two years building and deploying production AI applications using LLMs, retrieval-augmented generation, or agent workflows. - At least three years delivering technical work with business stakeholders, from requirements and use-case discovery through implementation. - At least three years of Python and/or JavaScript experience, with the ability to build and troubleshoot production-grade applications independently. - Experience integrating APIs and enterprise systems, and deploying and maintaining applications on AWS, Azure, or GCP. - Practical experience with AI development frameworks or vector search, plus a record of owning solutions end to end and supporting user adoption.

Benefits and work setup

The position is fully remote and open to people working across Latin America, with coworking spaces available. The listing describes a competitive USD salary, paid leave and national holidays under local rules, sick leave, an annual credit, a birthday day off, and remote team activities such as tech talks and coffee breaks.