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 LawnStarter

LawnStarter is the nation's leading on-demand marketplace for lawn care and outdoor services, with over $750M in bookings. We're expanding beyond lawn care to become the one-stop shop for home services: three brands (LawnStarter, Lawn Love, Home Gnome), one shared platform.

About Product at LawnStarter

Our BHAG: 1+ job per household, every year. Getting there means winning on four fronts at once: more customers, more Pros, excellent service experience for both sides, and an AI-run company that moves faster than its size should allow. We've organized around those bets as swim lanes: New Customer Acquisition, Strengthen Supply, Service Experience, and AI & Operating Excellence.

The Role

This is the most senior individual contributor seat in Product, with no direct reports. You'll work as a peer to the leaders of Ops, Data, Design, and Engineering.

Who are we?

SupportYourApp is a global Intelligent Support-as-a-Service leader, partnering with tech companies and industry leaders like MasterCard, Calm and MacPaw in 30+ countries since 2010 to deliver secure customer and technical support. We operate globally, supporting clients in 60 languages across diverse industries. So what if you had a chance to be a part of the world’s leading SaaS, software, or hardware solutions?

Join our community as a Technical Support Consultant today and thrive in a multicultural and multilingual environment while enjoying your home office. Unlock your potential by mastering new skills and achieving challenging goals in cooperation with our People First management approach. Excited? Let’s see what it takes.

What you will do:

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 Analytics at LawnStarter

We're a small, senior analytics team supporting the entire company - product, marketing, operations, and finance all run on the data we serve. The foundation is solid: a centralized Redshift data warehouse where all source data lands, modeled in dbt and orchestrated by Airflow, with Segment feeding event data in. You won't be stitching scattered sources together - the platform exists; your job is to make it trustworthy and keep it that way. We're mid-migration to Lightdash as our single BI platform, replacing Tableau and Metabase.

Here's the honest gap: everyone on the team today is an analyst. Data quality, tracking standards, and platform hygiene get done as side work, squeezed between analyses. Nobody wakes up thinking about them - which is exactly the job we're hiring for.

GoMining is looking for an experienced SEO specialist ready to take their skills to the next level. This is a chance to work on genuinely challenging, large-scale projects alongside marketing professionals who are eager to learn from each other and grow. We expect you to work autonomously while staying aligned with the broader team and business agenda.

You'll report to the Head of Organic Acquisition, and you’ll coordinate closely with those functions to keep GoMining's brands represented consistently everywhere they're found — in search, in AI assistants, on social, and in app stores.

We are hiring on behalf of our client a Tester / QA.

The mid-level Tester / QA will join a dynamic team and ensure the quality and reliability of the company's software. The role involves planning and executing manual and automated testing, identifying and tracking defects, and working closely with developers and stakeholders to support high-quality releases.

Responsibilities

Test Planning & Documentation

• Develop and maintain test plans, test cases, scenarios, and scripts.
  
• Define testing strategies based on requirements.
  
• Prepare test data and maintain QA documentation.
  
• Review requirements and acceptance criteria to identify potential risks.
  

Manual Testing

• Create and execute manual test cases for new features and modules.
  
• Perform functional, regression, integration, system, and UAT testing.
  
• Conduct exploratory testing to identify defects and edge cases.
  
• Log, track, and verify defects throughout the defect lifecycle.
  

Automation Testing

About Zyte

At Zyte, we eat data for breakfast, and you can eat your breakfast anywhere and work for Zyte. Founded in 2010, we are a globally distributed team of over 250 Zytans working from over 28 countries who are on a mission to enable our customers to extract the data they need to continue to innovate and grow their businesses. We believe that all businesses deserve a smooth pathway to data.

For more than a decade, Zyte has led the way in building powerful, easy-to-use tools to collect, format, and deliver web data quickly, dependably, and at scale. Today, the data we extract helps thousands of organizations make smarter business decisions, secure competitive advantage, and drive sustainable growth. Over 3,000 companies and 1 million developers rely on our tools and services to get the data they need from the web.

The Role

Zyte is looking for a Head of IT to lead our internal technology function into the AI era. This is emphatically not a helpdesk-manager role: at Zyte, internal IT is an engineering and enablement discipline. You will own the systems the whole company runs on: our business applications, the integrations and automation that connect them, our identity and security backbone, and, front and center, the internal AI tooling that is changing how every Zytan works.

About Us

At Zyte, we eat data for breakfast, and you can eat your breakfast anywhere and work for Zyte. Founded in 2010, we are a globally distributed team of over 250 Zytans working from over 28 countries who are on a mission to enable our customers to extract the data they need to continue to innovate and grow their businesses. We believe that all businesses deserve a smooth pathway to data

For more than a decade, Zyte has led the way in building powerful, easy-to-use tools to collect, format, and deliver web data quickly, dependably, and at scale. And today, the data we extract helps thousands of organizations make smarter business decisions, secure competitive advantage, and drive sustainable growth. Today, over 3,000 companies and 1 million developers rely on our tools and services to get the data they need from the web.

The Role

Zyte is seeking a IT Automation & Platform Engineer with strong Business Systems and Automation experience to architect and operate the internal technology ecosystem that powers our global company.

Tiger Analytics is looking for experienced Forward Deployed Engineer (Generative AI) with Gen AI experience to join our fast-growing advanced analytics consulting firm. Our employees bring deep expertise in Machine Learning, Data Science, and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner.

We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.

Role Overview

The Forward Deployed Engineer (FDE) drives the on-site deployment, integration, and scaling of our enterprise Generative AI solutions. This role embeds directly within customer engineering teams to operationalize Large Language Models (LLMs) and retrieval systems across Google Cloud Platform(GCP).. You will bridge the gap between AI research and production-grade cloud infrastructure.

You will collaborate with cross-functional teams and business partners and will have the opportunity to drive current and future strategy by leveraging your analytical skills as you ensure business value and communicate the results.

Requirements

Technical Requirements

The Microsoft DevOps Engineer designs, implements and supports secure, resilient and automated Microsoft Azure platforms. The role owns CI/CD pipelines, Infrastructure as Code, cloud operations, monitoring and continuous improvement, working closely with infrastructure, security, application and project teams to accelerate reliable technology delivery.

Key Responsibilities

Azure Cloud Engineering

· Design, deploy and manage Microsoft Azure environments in line with approved architecture and governance standards.

· Support Azure landing zones, networking, compute, storage, backup and disaster recovery services.

· Optimise cloud platform performance, resilience, capacity and cost.

DevOps & Automation

· Design and maintain Azure DevOps CI/CD pipelines using reusable YAML templates.

· Automate infrastructure and application deployment using Terraform, Bicep or ARM templates.

· Manage Git repositories, branching controls, pull requests, artefact versioning and release processes.

· Develop PowerShell, Azure CLI and workflow automation to reduce manual operational effort.

Monitoring & Reliability

· Implement monitoring and alerting with Azure Monitor, Log Analytics and Application Insights.

· Investigate platform and deployment incidents, complete root cause analysis and drive corrective actions.