Air Apps

About the Company

We're dedicated to leveraging mobile apps to drive positive change and enhance people's lives. Our mission is to provide innovative tools that empower users to overcome challenges and achieve their goals effortlessly, simplifying their daily routines and making their lives easier.

As a leading mobile app developer and publisher, we offer a diverse portfolio of over 30 apps across the Fitness, Productivity, Creative, and Learning categories. With a cumulative total of 3 million monthly downloads and a remarkable 100 million downloads worldwide, our apps resonate with users globally.

Born in Lisbon, Portugal, in 2018, and now with offices in both Lisbon and San Francisco, we value flexibility and individuality, fostering a culture where diverse perspectives thrive. Our culturally diverse team ensures inclusivity and creativity in every facet of app development.

At the core of our values is a dedication to user well-being and community collaboration. Through our AI-first approach, we're actively shaping the future of mobile technology, prioritizing excellence in user experience.

Join us on our journey to make a meaningful impact and inspire individuals worldwide to unleash their full potential with our transformative mobile apps.

Listed Jobs

Company Name

Air Apps

Job Title

DevOps Engineer

Job Description

**Job title:** DevOps Engineer **Role Summary:** Design, implement, and maintain automated CI/CD pipelines, manage cloud infrastructure, and ensure reliable, secure, and scalable application delivery across AWS, Azure, or GCP platforms. **Expectations:** - 3+ years of professional experience in DevOps, Site Reliability Engineering, or Cloud Engineering. - Proven ability to work in an agile, fast‑paced environment. **Key Responsibilities:** - Build and maintain CI/CD pipelines using Jenkins, GitHub Actions, GitLab CI, CircleCI, or ArgoCD. - Provision, configure, and manage cloud resources on AWS, Azure, or GCP, including serverless services. - Develop and maintain Infrastructure as Code using Terraform, CloudFormation, or Pulumi. - Deploy, scale, and operate containerized applications with Docker, Kubernetes, and Helm charts. - Implement monitoring, logging, and alerting with Prometheus, Grafana, ELK, or Datadog; troubleshoot performance bottlenecks. - Enforce security best practices: identity and access management, logging, vulnerability scanning, and compliance controls. - Collaborate with development teams to improve deployment efficiency and resolve infrastructure issues. - Optimize cloud costs and resource utilization for cost‑effective scaling. - Automate provisioning, configuration, and routine maintenance tasks. - Keep abreast of emerging DevOps technologies, tools, and industry best practices. **Required Skills:** - CI/CD tools (Jenkins, GitHub Actions, GitLab CI, CircleCI, ArgoCD). - Cloud platforms (AWS, Azure, GCP) and serverless computing. - IaC tools (Terraform, CloudFormation, Pulumi). - Containerization and orchestration (Docker, Kubernetes, Helm). - Linux system administration, networking, and security fundamentals. - Scripting in Bash, Python, or Go for automation. - Monitoring, logging, and observability platforms (Prometheus, Grafana, ELK, Datadog). - Understanding of high‑availability and scalability architectures. - Strong problem‑solving and analytical skills. **Required Education & Certifications:** - Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent work experience). - Preferred certifications: AWS Certified Solutions Architect / DevOps Engineer, Microsoft Certified: Azure DevOps Engineer Expert, GCP Professional Cloud DevOps Engineer, Certified Kubernetes Administrator (CKA).

San francisco, United states

On site

Junior

16-03-2026

Company Name

Air Apps

Job Title

Frontend Web Developer

Job Description

**Job title:** Frontend Web Developer **Role Summary:** Create, maintain, and optimize high-performance, responsive web interfaces for an AI‑powered Personal & Entrepreneurial Resource Planner. Collaborate with designers, product managers, and backend teams to deliver intuitive user experiences to a global user base. **Expectations:** - Deliver clean, maintainable front‑end code with efficient architecture. - Work effectively in an agile, cross‑functional environment. - Stay current with front‑end trends and continuously improve performance and accessibility. **Key Responsibilities:** - Develop and maintain responsive web applications using HTML, CSS, JavaScript, and frameworks such as React, Vue, or Angular. - Translate UI/UX designs into pixel‑perfect, accessible components. - Build reusable component libraries and enforce consistent coding standards. - Integrate and consume RESTful APIs and GraphQL services. - Optimize UI performance, scalability, and cross‑browser compatibility. - Write unit and integration tests, perform debugging, and resolve front‑end issues. - Collaborate with backend developers on data flow and API integration. - Participate in code reviews, sprint planning, and retrospectives. **Required Skills:** - 3+ years of professional front‑end development experience. - Proficiency in HTML5, CSS3, JavaScript (ES6+). - Deep experience with a modern framework (React, Vue, or Angular). - Familiarity with state‑management libraries (Redux, Vuex, or Zustand). - Strong knowledge of responsive design, accessibility (WCAG), and cross‑browser testing. - Experience with CSS preprocessors (SASS, LESS) and build tools (Webpack, Vite). - Understanding of RESTful API consumption and GraphQL. - Proficiency with version control (Git). - Excellent problem‑solving skills and attention to detail. - Ability to write clean, readable, and well‑tested code. **Required Education & Certifications:** - Bachelor’s degree in Computer Science, Software Engineering, or related technical field (or equivalent professional experience).

San francisco, United states

On site

Junior

18-03-2026

Company Name

Air Apps

Job Title

AI/ML Engineer

Job Description

**Job Title:** AI/ML Engineer **Role Summary:** Design, develop, and optimize machine‑learning models for mobile applications, integrating AI‑driven features that enhance user experience and performance. Collaborate with product, engineering, and design teams to deliver scalable, production‑ready solutions in a remote environment. **Expactations:** - 3+ years of hands‑on AI/ML development, preferably for mobile platforms. - Ability to research, prototype, and implement state‑of‑the‑art AI techniques. - Deliver high‑quality code following software engineering best practices. - Communicate effectively across cross‑functional, remote teams. **Key Responsibilities:** - Build, train, and fine‑tune ML models (e.g., deep learning, NLP, computer vision) for app features. - Design and maintain scalable ML pipelines for data ingestion, model training, deployment, and monitoring. - Optimize models for mobile environments to achieve low latency and minimal resource usage. - Conduct data analysis on large datasets to extract actionable insights. - Integrate AI solutions into the mobile product stack in collaboration with engineers and designers. - Stay current with AI research and industry trends; apply relevant advancements to the product roadmap. - Ensure reliable production deployment and ongoing performance monitoring of ML models. **Required Skills:** - Proficiency in Python and major ML frameworks (TensorFlow, PyTorch, etc.). - Strong foundation in deep learning, NLP, computer vision, and statistical modeling. - Experience with cloud ML services (AWS, Google Cloud, Azure). - Solid understanding of data structures, algorithms, and software engineering principles. - Hands‑on experience deploying and maintaining ML models in production. - Familiarity with mobile‑focused optimization (e.g., TensorFlow Lite, ONNX Runtime). - Excellent problem‑solving abilities and a proactive, innovative mindset. - Effective teamwork and communication in remote settings. **Required Education & Certifications:** - Bachelor’s degree in Computer Science, Electrical Engineering, Mathematics, or a related quantitative field (or equivalent practical experience). - Optional: Certifications in Machine Learning/Deep Learning (e.g., AWS Certified Machine Learning, Google Professional ML Engineer) are a plus.

San francisco, United states

On site

Junior

18-03-2026