Mobile Engineer - iOS

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About Us

Thynqit Labs is an AI-native digital transformation and product engineering company. We partner with startups, scale-ups, and enterprises to build, modernize, and scale digital products faster - solving complex business challenges through product strategy, software engineering, cloud modernization, and applied AI.

What makes us different is how we build. AI isn't a feature we ship - it's embedded across the entire software development lifecycle, shaping how we think, design, code, ship, and iterate every single day. Combined with our proven engineering accelerators, this is how we help our clients reduce time-to-market, improve product quality, and create scalable platforms built for long-term growth.

We're an ambitious team that moves fast, ships often, and treats AI tooling as a force multiplier on every project we take on.

The Role

We're looking for an early-career iOS Mobile Engineer (1–2 years of experience) who's already wired to build alongside AI. You'll focus on building high-quality iOS applications using modern Apple frameworks, scalable architecture patterns, and AI-assisted workflows.

This isn't a ticket-closing role. You'll contribute to product decisions, user experience discussions, technical architecture, and have genuine ownership over what you build.

What You'll Do

Build, ship, and maintain iOS applications using Swift and modern Apple development frameworks.
Develop scalable mobile architectures and reusable components that support long-term product evolution.
Integrate iOS applications with backend services through REST and GraphQL APIs.
Optimize applications for performance, responsiveness, reliability, and user experience across Apple devices.
Work with local storage, push notifications, analytics, crash monitoring, and offline capabilities.
Use AI tools actively across your workflow—coding, testing, debugging, code review, documentation, and mobile optimization—and help us evolve how we use them as a team.
Collaborate closely with product managers, designers, backend engineers, and QA engineers to deliver customer-focused solutions.
Write clean, maintainable, well-tested code—and care about what happens after the app reaches production.

Must-Haves

1–2 years of hands-on experience building production iOS applications.
Strong experience with Swift and familiarity with modern iOS development practices.
Experience with iOS SDK, UIKit and/or SwiftUI, and the iOS application lifecycle.
Understanding of mobile architecture patterns such as MVVM, Clean Architecture, or similar approaches.
Experience integrating iOS applications with REST and/or GraphQL APIs.
Working knowledge of local data storage, background processing, and mobile performance optimization.
Familiarity with Git-based development workflows and collaborative engineering practices.
Good presentation and communication skills—you will be working with foreign delegates.
Hands-on experience using AI tools in your development workflow—Copilot, Cursor, Claude, or similar—and a curiosity to push their limits.
Product thinking—you care about why you're building something, not just what you're building.

Good-to-Haves

Experience with SwiftUI and modern declarative UI development.
Experience integrating Apple Push Notifications (APNs), analytics, crash reporting, and remote configuration services.
Exposure to CI/CD pipelines, TestFlight distribution, and automated release workflows.
Knowledge of mobile security, secure data storage, and authentication best practices.
Experience publishing and maintaining applications on the Apple App Store.
Open-source contributions, side projects, or technical writing that demonstrates curiosity and craftsmanship.
Experience integrating AI-powered capabilities or LLM APIs into mobile applications.

How We Work with AI

Being AI-native isn't a marketing line for us - it's a working norm. Here's what that looks like in practice:

AI in coding: We use AI assistants throughout writing, refactoring, and reviewing code.
AI in planning: We use AI to break down problems, generate options, and pressure-test ideas before we build.
AI in shipping: We use AI to draft tests, write docs, debug, and accelerate review cycles.
AI in product: We build AI-powered features into the product itself, where it genuinely improves the customer experience.

We expect everyone on the team to engage with these tools critically - not blindly trust them, but learn how to get the most out of them.

What We Value

Curiosity - you explore beyond what's asked, and you ask better questions than most.
Continuous Learning - you stay sharp, pick up new tools and patterns quickly, and treat every project as a chance to grow.
Adaptability - you stay steady when priorities shift, and you bring order to ambiguity instead of waiting for it.
Customer Focus - you keep the end user at the center of every technical and product decision.
Performance-Driven - you care about outcomes, not just output. You ship work that performs in the real world.

What We Offer

Access to the best AI tools and infrastructure to do your work.
A small, high-trust team where your contributions are visible, and your ideas matter.
Real ownership over what you build - from architecture to delivery.
Wellness Benefits and Learning Path
Flexible work arrangements.

Logistics

Location: On Site
Type: Full Time
Interview Process: No trick questions. No unnecessary rounds. We respect your time.
Intro conversation > Technical round > Cultural fitment > Onboarding.

How to Apply

Send your resume, GitHub/portfolio, and a short note about an AI-assisted project you've worked on (what you built, how you used AI, what you learned) to hr@thynqit.com

Bonus points if you tell us about a tool, workflow, or idea you'd want to bring to our team.

We review every application. We respond to every applicant.