Agentic Product Engineer | Internship | Full-stack | Saily

At Saily, we’re removing the hassle of staying connected while traveling — no roaming fees, no plastic SIM cards, just lightning-fast, secure mobile data in 200+ destinations. Saily has millions of paying customers and hundreds of thousands of travelers browsing through Saily at any given moment.

To build the best product for our customers, we foster an AI-native Product Engineering culture, where:

- The Engineer is the builder, who is responsible for solving customer problems end-to-end (idea to production)
- AI Agents are the enablers who write most of the code and solve repeatable tasks to help the Engineers maximize their impact
- Everyone contributes to making Saily effective by suggesting new areas for improvement to delegate to agents and then implementing the changes
- Curiosity, learning and sharing are everyone's responsibility
- Customer, having a comfortable, connected, hassle-free journey is never lost from the focus

We value growth over comfort, contribution over hierarchy, and impact over process. At Saily, we believe in giving sharp people context, autonomy, and AI as their multiplier to allow them to just do their best work.

If you want to start your engineering career by doing real work - not exercises - join Saily.

We’re looking for Trainee Engineers who think clearly, learn fast, and take ownership. Curiosity matters. So does discipline.

You’ll work with a strong team on real problems from day one. You’ll get support when you need it, and ownership when you’re ready for it.

We move fast, use AI as a default, and focus on helping you build good engineering habits early.

This is a 3-month full-time paid internship. Prove yourself, perform well, and your contract will get upgraded to full-time employment.

If that sounds like your kind of start, apply.

Main Responsibilities

• Delivers small tools/features with support from the team.

• Collaborate with product, design, and other engineers.

• Operate in small, highly autonomous teams.

• Learn how to use AI agents for specs, coding, analysis, testing, and iteration.

• Take part in the improvements of our internal agent network and development workflows.

• Focus on user and business outcomes, not output.

Core requirements

• Degree in software engineering and/or a portfolio of personal projects, ideally built using AI agents

• You can learn new technologies quickly

• You value autonomy over stability and process

• You enjoy working across layers instead of staying in one box

• You think in problems and outcomes, not tickets

• You are comfortable with ambiguity

• You are curious about AI and excited to work with agents

Tools You Will Use

• Backend: Go, MySQL, Kafka, Docker, Kubernetes, AWS, Redis

• Frontend: Next.js, React.js, TypeScript, GraphQL, Tailwind CSS, Cloudflare Workers

• IOS: SwiftUI, Xcode, Combine, SPM, MVVM Architecture

• Android: Kotlin, Android Studio, Hilt, Coroutines, Jetpack Compose, MVVM Architecture

• Infra: Linux, Docker, GitLab, ArgoCD, AWS, Terraform, Helm, OpenSearch, Prometheus, Python / Golang

• AI tools: Claude Code, OpenAI Codex, OpenCode, Cursor with Composer

Kindly refer to our Privacy Notice for Recruitment Candidates for comprehensive information regarding our data handling procedures throughout recruitment processes.

We expect all candidates to provide accurate and complete information during the recruitment process. While limited use of AI tools to refine application materials is acceptable, candidates remain fully responsible for ensuring that their submissions reflect their own qualifications, skills, and experience. Any failure to do so may negatively affect participation in the recruitment process. If broader AI assistance is allowed for a particular role or stage, we’ll let you know in advance.

By submitting your application, you acknowledge that it may be processed using automated tools for evaluation purposes. As part of our recruitment process, we may use an AI-based application review tool to help assess applications based on skills and experience relevant to the role. This technology is used to support - not replace - human decision-making, and every application is ultimately reviewed by a recruiter.

If you would like more information about how AI is used in this process or wish to exercise your rights under applicable data privacy laws, please contact us at [email protected]. Should you prefer to opt out of the automated evaluation, please submit your application directly to [email protected].