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:

About the Role

We are looking for a highly skilled Software Engineer (Full Stack) to join our Engineering team. In this role, you will be responsible for designing, developing, and maintaining scalable backend systems, managing databases, implementing DevOps practices, ensuring security compliance, and collaborating closely with frontend teams.

You will play a key role in shaping system architecture, optimizing performance, automating deployments, and mentoring junior engineers while ensuring the delivery of secure, high-quality software solutions.

About LawnStarter

LawnStarter is the nation's leading on-demand marketplace for lawn care and related services, with over $150M in annual bookings. We're expanding beyond lawn care to become the one-stop shop for all home services.

About Engineering Quality at LawnStarter

Our QA team is growing, and we're investing real money in better test coverage. We already have shared quality standards and a QA squad that organizes itself horizontally across teams. What we don't have is someone dedicated to owning that vision: every QA is heads-down on their own team, so nobody has the room to drive the standards forward, unify how the squad works, or push the state of the art. That's the gap this role fills. It's not a nice-to-have we're adding because things are going well. It's the structure and leadership we need to make what we've already built actually compound.

The Role

You'll be LawnStarter's first Principal Quality Engineer, reporting directly to the Head of Engineering. We already have quality standards, working CI/CD gates, and AI tooling in the mix. Nobody owns the vision behind all of it, drives it forward, or leads the QA squad that keeps it running. You will.

About Octopus by RTG

Octopus by RTG is the tech hiring and outsourcing arm of Robusta Technology Group, dedicated to connecting exceptional tech talent with top-tier organizations across the MENA, GCC, Europe, the US, and Canada. We specialize in building strong, long-term partnerships between skilled professionals and innovative companies. Our mission is to empower growth, innovation, and excellence by matching the right talent with the right opportunities.

Job Overview

We are currently partnering with a strategic client in the UAE and are actively expanding their team. We are looking for a skilled Mobile Developer (React Native) to lead the technical development of a web portal project.

Key Responsibilities:

• Develop and maintain mobile applications using React Native
• Build reusable components and write clean, maintainable code
• Collaborate with UI/UX designers to implement intuitive user interfaces
• Integrate APIs and third-party services
• Debug, troubleshoot, and optimize application performance
• Ensure the performance, quality, and responsiveness of applications
• Participate in code reviews and contribute to team best practices
• Stay up to date with the latest industry trends and technologies

Requirements

We are hiring on behalf of our client Full Stack Engineer (Mid – Level).

The Full Stack Engineer will join a dynamic team and contribute to the design, development, and delivery of reliable, scalable web applications. The role involves working across both frontend and backend technologies, developing new features, integrating databases and APIs, and contributing to code quality, testing, and continuous improvement throughout the development lifecycle.

Responsibilities

Frontend Development

• Develop and maintain modern web applications using React and Next.js.
  
• Build responsive, reusable, and maintainable UI components.
  
• Work with server-side and client-side rendering where appropriate.
  
• Implement structured styling using SCSS and CSS Modules.
  
• Optimize frontend performance, usability, and application responsiveness.
  

Backend Development

About LawnStarter

LawnStarter is the nation's leading on-demand marketplace for lawn care and related services, with over $150M in annual bookings. We're expanding beyond lawn care to become the one-stop shop for all outdoor home services - pest control, pool cleaning, window cleaning, and more.

About Engineering at LawnStarter

Our engineering team builds the platform that connects hundreds of thousands of homeowners with over 70,000 active service pros. We operate three brands (LawnStarter, Lawn Love, HomeGnome) on shared infrastructure, and we're profitable and growing. Engineering here is fast - we ship constantly, we own our systems end-to-end, and we don't tolerate "not my problem." We have strong processes and existing engineering managers, so you're not building from scratch. You're raising the bar.

The Role

We're growing, and that means adding engineering leadership capacity to support new initiatives. You'll lead cross-functional delivery teams of 4–5 engineers, reporting to our Head of Engineering. Your job is to make sure your team ships reliably, grows professionally, and doesn't become a bottleneck as LawnStarter scales into new service verticals.