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:

Azumo is looking for a Project Manager to lead software development projects and personalized technology initiatives from inception to delivery.

As a Project Manager, you will be a key player within our IT Delivery team, collaborating cross-functionally with both business and technical teams. You will bring structure, accountability, and technical credibility to every engagement, bridging the gap between engineering teams and stakeholders with clarity and confidence.

This is a hands-on, results-oriented role for someone who thrives on ownership, moves fast, and uses modern tools, including AI, to deliver better outcomes.

The position is FULLY REMOTE, based in Latin America.

Responsibilities:

Project Delivery

• Lead end-to-end planning, execution, and delivery of software development projects, ensuring alignment with business objectives, timelines, and budget constraints.
• Manage multiple concurrent projects simultaneously, maintaining quality and meeting deadlines across all engagements.
• Identify, assess, and proactively mitigate project risks and blockers, maintaining a live risk log and escalating issues with recommended solutions.
• Manage vendor and third-party relationships relevant to project delivery, including tracking SLAs and delivery commitments.

Type: Independent Contractor 
Hours: 8:30 AM – 5:30 PM PST, Monday–Friday 
Reporting into: People Operations Manager

Come build the team that builds the brands.

eJam is a consumer products company that has built, scaled, and exited multiple brands. Our portfolio includes category leaders ranked at the top of Amazon, carried in major retailers nationwide, and sold across DTC, marketplaces, and every channel in between.

We're not a startup hoping something works. We're a team that has done it repeatedly: taken products from zero to eight figures, landed them on retail shelves nationwide, and built real brands that consumers love. We operate like a holding company with the speed of a startup: small teams with real ownership and accountability.

This is the place where you'll see the entire machine, sourcing, product development, packaging, manufacturing, compliance, marketing, marketplace strategy, retail, all under one roof. If you want to be a part of building and shipping consumer products at scale, there is no better place than this.

Why you'll love it

We're growing several brands at once, and how fast we grow comes down to how quickly we get the right people into the right seats. This role owns that, completely.

Azumo is looking for a highly technical and hands-on DevSecOps Engineer / Security Solutions Lead to own and strengthen the security posture of our platform, infrastructure, and AI-driven systems.

This is a proactive, operationally-focused role—not just policy work. You will actively secure systems, remediate vulnerabilities, and collaborate across engineering and compliance to ensure continuous resilience. Working in a remote-first, high-trust engineering culture, you will join us as we scale rapidly following our Series A funding to power the future of modern financial infrastructure.

Location: Remote Latin America

In this role, you will secure and improve the systems that power our FinTech ecosystem while also serving as a key representative of our security program during customer and partner due diligence processes.

Key Responsibilities

Security Engineering & System Hardening

● Secure and harden cloud infrastructure, applications, APIs, internal systems, and operational workflows. · Implement and maintain security controls across production environments, CI/CD pipelines, cloud infrastructure, and internal tooling.

● Work directly with engineering teams to remediate vulnerabilities and improve secure development practices.

AI Agent Systems Architect

Azumo, a leading AI Development company, is seeking a highly motivated AI Agent Systems Architect to join our growing team of expert AI developers. We specialize in delivering Top AI Development services, helping organizations build intelligent applications powered by Generative AI, large language models (LLMs), and advanced automation. At Azumo, AI is part of how we work, not a restricted tool. We help every engineer get AI certified and use it daily: building real agents, shipping faster, and growing into an AI native engineer. As part of our team, you will collaborate with engineers, data scientists, and domain experts across SaaS, cloud, and big data environments. You will work on cutting-edge agentic architectures, translating research into production-ready solutions that drive real-world impact for global clients. At Azumo, you’ll thrive if you enjoy the full lifecycle of Generative AI development—from ideation and prototyping to deployment, monitoring, and scaling intelligent applications.

Responsibilities in AI Development

Architect, design, and actively write code for production-grade stateful multi-agent systems, custom state machines, and function-calling workflows using frameworks such as LangGraph, CrewAI, or native Python execution loops.

Location: Remote Latin America
Compensation: $2,000–$3,000/month
Type: Contractor
Hours: 9am - 6pm PST

About Us

eJam is a bootstrapped consumer products company that has built, scaled, and exited multiple brands — all without ever taking a dollar of outside capital. Our portfolio includes category leaders ranked at the top of Amazon, carried in major retailers nationwide, and sold across DTC, marketplaces, and every channel in between.

We're not a startup hoping something works. We're a team that has done it repeatedly — taken products from zero to eight figures, landed them on retail shelves nationwide, and built real brands that consumers love. We operate like a holding company with the speed of a startup: small team, no bureaucracy, massive ownership.

This is the place where you'll see the entire machine — sourcing, product development, packaging, manufacturing, compliance, marketing, marketplace strategy, retail — all under one roof. If you want to learn how consumer products actually get built and shipped at scale, there is no faster education than this.

The Role