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.

Where this role sits

Azumo builds and operates production AI systems for companies ranging from seed-stage startups to Meta. We are hiring a Data Scientist to own the part that comes before the system exists: what question is actually being asked, which method answers it, whether the answer holds up, and how anyone would know.The role is fully remote across Latin America, aligned to your client's working day.

You will not be handed a specification. Azumo has shipped models into production since 2016, and the work here starts with a client who knows what bothers them and does not yet know what to measure. Turning that into a model, a baseline, and a number someone can act on is the job.

Where this role sits

Azumo's engineering organization is built around four lanes. The Data Engineer lane owns pipelines, storage, and the retrieval layer. The AI Engineer lane owns production behavior. The Software Engineer lane owns AI-augmented product delivery. This role is the Data Scientist lane, and it owns the question and the method.

One question places the boundary: when the output is wrong, whose problem is it? "The method was inappropriate, or the question was the wrong one" is yours. "The system did the wrong thing with an appropriate method" is the AI Engineer's.

Not quite your profile? Check our other openings:

Azumo builds and operates production AI systems for companies ranging from seed-stage startups to Meta. We are hiring a Data Engineer to own the layer everything else depends on: ingestion and transformation pipelines, storage and warehouse design, and the retrieval infrastructure that AI systems query. The role is fully remote across Latin America, aligned to your client's working day.

You will not be building pipelines that work until the schema changes. Azumo has shipped production data systems since 2016, and the work here is judged downstream: whether a model can be trained on what you deliver, whether a retrieval query returns the right passage, whether a number survives being questioned by the client.

Where this role sits

Azumo's engineering organization is built around four lanes. The Data Scientist lane owns the question and the method. The AI Engineer lane owns production behavior. The Software Engineer lane owns AI-augmented product delivery. This role is the Data Engineer lane, and it owns pipelines, storage, and the retrieval layer.

One question places the boundary: when the output is wrong, whose problem is it? "The data was missing, stale, or wrong by the time it arrived" is yours."The system did the wrong thing with data that was correct" is the AI Engineer's.

Not quite your profile? Check our other openings:

Azumo builds and operates production AI systems for companies ranging from seed-stage startups to Meta. We are hiring Software Engineers to deliver product software in our clients' stacks, with coding agents as part of how the work gets done rather than as a side experiment. The role is fully remote across Latin America, aligned to your client's working day.

We do not hire by language. Azumo has shipped production software since 2016, and what we test for is whether you can take a problem into a codebase you did not write and leave it better, at a pace a client can plan around. Which language you reach for first tells us where to place you, not whether we want you.

Where this role sits

Azumo's engineering organization is built around four lanes. The Data Engineer lane owns pipelines, storage, and the retrieval layer. The Data Scientist lane owns the question and the method. The AI Engineer lane owns production behavior. This role is the Software Engineer lane, and it owns AI-augmented product delivery.

One question places the boundary: "do you build AI, or do you build with AI?" The AI Engineer answers for what the model does.You answer for what the software does.

Not quite your profile? Check our other openings:

Azumo builds and operates production AI systems for companies ranging from seed-stage startups to Meta. We are hiring a Senior Security Engineer to own the technical security posture of those systems once they are live: the infrastructure they run on, the pipelines that feed them, and the agents that act on their output. The role is fully remote across Latin America, aligned to your client's working day.

You will not be writing policy. Azumo has shipped production AI since 2016, and the work here is in the systems themselves — hardening infrastructure, closing vulnerabilities, and building the guardrails that keep AI-driven workflows safe in front of real users.

Where this role sits

Most engineering organizations split ownership by what's built: pipelines and data infrastructure, the model or the method behind a decision, the product itself, and — once AI systems are live — what they actually do in front of users. Security isn't one more slice next to those. It's the discipline that has to hold inside every one of them, and on any team large enough to carry a dedicated specialist, this is the role that owns it.

Azumo builds and operates production AI systems for companies ranging from seed-stage startups to Meta. We are hiring an AI Engineer to own what those systems do once they are live: retrieval pipelines, tool-using agents, evaluation harnesses, and the guardrails that keep them dependable in front of real users. The role is fully remote across Latin America, aligned to your client's working day.

You will not be building demos. Azumo has shipped production AI since 2016, and the work here starts where the prototype ends, making a system reliable, measurable, and affordable enough to put in front of customers.

Where this role sits

Azumo's engineering organization is built around four lanes. The Data Engineer lane owns pipelines, storage, and the retrieval layer. The Data Scientist lane owns the question and the method. The Software Engineer lane owns AI-augmented product delivery. This role is the AI Engineer lane, and it owns production behavior.

One question places the boundary: when the output is wrong, whose problem is it? "The method was inappropriate" is a Data Scientist question. "The system did the wrong thing with an appropriate method" is yours.

Not quite your profile? Check our other openings:

Signal Signal is a group of companies offering products and services in commercial shipping. We combine our deep knowledge of shipping with our passion for applied science, technology and modern management methods.

About Signal Ocean: Signal Ocean is the technology arm of the Signal Group. Our primary product, The Signal Ocean Platform, enables shipping professionals to securely handle, integrate and assess complex collections of private and public shipping data.

Driven by advanced machine learning and artificial intelligence, our technology suite provides tailored insights that support our clients in improving performance and efficiency. These insights are delivered through web and mobile applications, as well as through a rich set of APIs and SDKs.

Our backend architecture is designed to offer modular analytics capabilities that are incorporated into our own solutions or embedded directly into our clients’ systems and workflows.

About Signal Maritime: Signal Maritime combines shipping industry expertise with modern data management techniques.

Signal Maritime Services focuses on effective and sustainable commercial management and the development of innovative pooling models that offer adaptability, transparency, improved commercial outcomes and a more equitable distribution of returns.

Signal is a group of companies offering products and services in commercial shipping. We combine our deep knowledge of shipping with our passion for applied science, technology and modern management methods.

About Signal Ocean: Signal Ocean is the technology arm of the Signal Group. Our primary product, The Signal Ocean Platform, enables shipping professionals to securely handle, integrate and assess complex collections of private and public shipping data.

Driven by advanced machine learning and artificial intelligence, our technology suite provides tailored insights that support our clients in improving performance and efficiency. These insights are delivered through web and mobile applications, as well as through a rich set of APIs and SDKs.

Our backend architecture is designed to offer modular analytics capabilities that are incorporated into our own solutions or embedded directly into our clients’ systems and workflows.

About Signal Maritime: Signal Maritime combines shipping industry expertise with modern data management techniques.

Signal Maritime Services focuses on effective and sustainable commercial management and the development of innovative pooling models that offer adaptability, transparency, improved commercial outcomes and a more equitable distribution of returns.

Signal is a group of companies offering products and services in commercial shipping. We combine our deep knowledge of shipping with our passion for applied science, technology, and modern management methods.

About Signal Maritime: Signal Maritime combines shipping industry expertise with modern data management techniques. Signal Maritime Services prioritizes effective, commercial management and the development of pooling models that offer adaptability, transparency, and improved commercial outcomes. 

About Signal Ocean: Signal Ocean is the technology arm of the Signal Group. Our primary product, The Signal Ocean Platform, enables shipping professionals to securely handle, integrate, and assess intricate collections of private and public shipping data. Driven by advanced machine learning and artificial intelligence, our technology suite provides tailored, exclusive insights that support our clients in achieving performance and efficiency.

About Signal Ventures: Signal Ventures is the venture capital and strategic investment arm of The Signal Group. Our maritime expertise fuels the development of new tech in shipping, logistics, and commodities, accelerating industry progress 

About the role: At Signal, we are committed to finding people who are respectful, inclusive, and team players.

Senior Quality Engineer

About LawnStarter

LawnStarter is the nation's leading on-demand marketplace for lawn care and outdoor services, with over $150M in annual bookings. We're expanding beyond lawn care to become the one-stop shop for all home services, operating across three brands (LawnStarter, Lawn Love, Home Gnome) on a single shared platform.

About Engineering at LawnStarter

We've spent the last two years rebuilding the platform from the ground up: new customer app, new Pro onboarding, job distribution engine, and data infrastructure. The foundation is solid. Now we're moving into expanded service verticals, dynamic pricing, and AI-powered features at scale. Quality needs to keep up.

Our stack is PHP (Laravel) and React/React Native, with Cypress as our primary test framework. We actively use Claude Code as part of our engineering workflow, not as an experiment, but as a core part of how we work.

The Role

As we scale into new service verticals and grow the engineering team, quality can't be reactive. This role exists to make quality proactive: owning the automation coverage, shaping the bug process, and partnering closely with Product, Design, and the Data team to catch problems before they reach customers.