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

AI/ML Engineer

Job Description

**Job Title** AI/ML Engineer **Role Summary** Design and optimize machine learning models to power intelligent, data-driven features in mobile applications. Collaborate cross-functionally to integrate AI solutions and drive innovation in AI-powered resource management tools. **Expectations** Develop production-ready ML models for mobile environments, ensure scalability and efficiency, and apply cutting-edge AI research to enhance user engagement and app performance. Maintain expertise in AI/ML trends and adapt solutions to meet real-world product challenges. **Key Responsibilities** - Develop, train, and optimize ML models for mobile app features (e.g., NLP, computer vision). - Implement scalable ML pipelines for deployment, monitoring, and maintenance in production. - Analyze datasets to inform product decisions and improve user experience. - Collaborate with product, engineering, and design teams to align AI solutions with business goals. - Optimize AI model performance for mobile environments (latency, efficiency). **Required Skills** - Proficiency in Python, TensorFlow, PyTorch, or equivalent ML frameworks. - Experience in deep learning, statistical modeling, and AI research. - Familiarity with cloud ML services (AWS, Google Cloud, Azure). - Strong software engineering skills (data structures, algorithms, best practices). - Demonstrated ability to deploy and maintain ML models in production systems. - Collaborative problem-solving skills; proficiency in cross-functional teamwork remotely. **Required Education & Certifications** - 3+ years professional experience in AI/ML development, preferably for mobile applications. - No specific academic credentials listed; focus on demonstrated technical expertise and project outcomes.

San francisco, United states

On site

Junior

26-09-2025

Company Name

Air Apps

Job Title

DevOps Engineer

Job Description

**Job Title**: DevOps Engineer **Role Summary**: Design, build, and maintain scalable, secure, and efficient cloud and containerized infrastructure for a global product. Manage CI/CD pipelines, automate provisioning, and collaborate closely with development teams to ensure rapid, reliable deployments. **Expactations**: - Deliver production‑ready pipelines and infrastructure within 30‑90 day KPIs. - Maintain uptime ≥ 99.9 % and meet SLAs for critical services. - Demonstrate measurable cost savings through resource optimization. **Key Responsibilities**: - Build and maintain CI/CD pipelines using Jenkins, GitHub Actions, GitLab CI, or similar. - Provision, configure, and manage cloud resources on AWS, Azure, or GCP; migrate workloads to serverless where appropriate. - Develop IaC scripts (Terraform, CloudFormation, Pulumi) and version‑control all infrastructure definitions. - Deploy containerized applications with Docker, Kubernetes, and Helm; manage cluster scaling, networking, and storage. - Monitor performance with Prometheus, Grafana, or ELK; troubleshoot alerts, capacity issues, and bottlenecks. - Enforce cloud security best practices: identity management, least‑privilege IAM roles, vulnerability scanning, and audit logging. - Collaborate with SRE, QA, and product teams to improve deployment speed and reliability. - Optimize cloud spending through right‑sizing, autoscaling, and cost‑tagging. - Document processes, create runbooks, and train developers on DevOps tooling. **Required Skills**: - 3+ years experience in DevOps, SRE, or cloud engineering. - Proficiency with CI/CD tools (Jenkins, GitHub Actions, GitLab CI, CircleCI, ArgoCD). - Deep knowledge of one or more cloud platforms (AWS, Azure, GCP) and serverless services. - Hands‑on IaC with Terraform, CloudFormation, or Pulumi. - Strong container and orchestration expertise (Docker, Kubernetes, Helm). - Solid scripting in Bash, Python, or Go for automation. - Experience with monitoring and logging stacks: Prometheus/Grafana or ELK/Datadog. - Linux system administration, networking, and security fundamentals. - Ability to design scalable, high‑availability architectures and perform cost optimization. - Excellent problem‑solving, communication, and agile collaboration skills. **Required Education & Certifications**: - Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent practical experience). - Relevant cloud certifications preferred: AWS Certified DevOps Engineer – Professional, Azure DevOps Engineer Expert, GCP Professional Cloud DevOps Engineer, or Terraform Associate.

San francisco, United states

On site

Junior

21-11-2025