Forward Deployed Engineer

Forward Deployed Engineer

Azumo builds and operates production AI systems for companies ranging from seed-stage startups to Meta, delivered through small teams working inside each client's environment. We are hiring Forward Deployed Engineers: the engineer embedded in a client's team who owns the system and whether it works, from the first conversation through to whatever breaks after release. The role is fully remote across Latin America, aligned to your client's working day. Azumo has shipped production AI & Software since 2016, and on these engagements there is no analyst writing the requirement, no QA phase waiting to catch what you missed, and no architect approving your design. Those calls are yours to make and yours to answer for. If you have only ever worked with those roles in place, this is not the seat to start in. We have other openings that probably fit you better.

You are the engineer the client works with. On most engagements you are the only one, sitting inside their team, with their repository, their constraints and their deadlines. Your lane says what you build: software, data pipelines, models, or AI systems in production. This role says how you are accountable for it. We hire Forward Deployed Engineers out of all four lanes. One question places the boundary: when the client is unhappy, "was it the wrong feature, or a feature that does not work?" As the technical lead on the account, anything that does not work as expected is yours.

Not quite your profile? Check our other openings:

• If you own how an AI system behaves in production — AI Engineer
• If you build the pipelines and retrieval layer models depend on — Data Engineer
• If you decide what to measure and which method answers it — Data Scientist
• If you ship product software with agents in your toolchain — AI-Augmented Software Engineer

What you will build:

• The whole thing. Discovery, design, build, verification, release, and the incident afterwards. Not a slice of it handed to you already specified.
• The work nobody assigns. The access nobody granted, the dataset nobody can explain, the integration everyone assumed was someone else's. Unclaimed work is yours by default.
• Saying no to the client directly yourself. Not escalating it, not absorbing it quietly. A reason, an alternative, and the standing to be believed.
• Verification. You demonstrate that the acceptance criteria are met. There is no testing phase behind you.
• Reproducible delivery, run with agents. Specification and tests first, agent context committed to the repository, gates on every change. One engineer carrying a whole delivery only works when the process is reproducible.
• Work inside the client's environment. Their repositories, their standups, sometimes their customer calls. Azumo is SOC 2 certified, client code stays in client repositories, and some engagements carry additional requirements such as HIPAA.

How we work:

Our engineers build with AI every day. Claude Code, Codex, and similar tools are part of the standard toolchain here, not an experiment. We run an automated audit across the whole codebase on day one and every day after, grading security, cost, and architecture findings by severity with the exact file and line, so a small team can move quickly without quality drifting. We stay vendor-neutral across OpenAI, Anthropic, and open-weight models, and we run Valkyrie, our own production layer, when a single interface to any model is the right call.

About Azumo:

Azumo is a San Francisco based software development company that has been building intelligent applications since 2016. We provide nearshore AI engineering teams to organizations that need production AI faster than they can hire for it: as an embedded engineering team, as AI staff augmentation alongside an existing team, or as a full project build. Our engineers work from Latin America, aligned to United States time zones, and have delivered for Twitter, Meta, Discovery Channel, Omnicom, UnitedHealth, and CENTEGIX. We hire for seniority and test for it before anyone joins a client team. We support engineers in going deep on the modern AI stack, and we give time back to open-source work, community teaching, and philanthropy.