AI-Native Android Engineer — Own AI UX & Performance

NTIATIVE IT Recruitment; Poland; On-site; PLN 180,000 - 300,000; Full time

Job summary

The stealth AI client in Poland is building a proactive smart assistant to transform daily workflows. You will own the Android application experience, shaping how AI feels and performs on mobile devices.

Join a high-skill team, integrate on-device AI features, and optimize for latency and efficiency in streaming scenarios. This role demands deep Kotlin expertise and a product-minded engineer who thrives in AI-heavy workloads.

Qualifications

• 5+ years of experience in native Android development with Kotlin.
• Hands-on experience in integrating AI/LLM features, vision, and speech APIs.
• Deep mastery of Coroutines, Flow, and asynchronous programming.
• Experience with on-device ML frameworks (e.g., TensorFlow Lite, MLKit) is a strong plus.
• Strong profiling, debugging, and performance optimization skills for high-load, AI-heavy workflows.
• A curious, product-minded engineer.

Responsibilities

• Own the Android application experience, driving how AI feels, behaves, and performs on mobile devices.
• Design resilient mobile UX patterns for AI interactions (handling streaming responses, retries, and latency).
• Optimize app responsiveness, CPU, and memory efficiency for multi-step reasoning and context-heavy flows.
• Collaborate directly with ML and backend engineers to shape API contracts and system behavior.

Skills

Android development with Kotlin

AI/LLM integration

Coroutines/Flow

On-device ML (TensorFlow Lite, MLKit)

Tools

TensorFlow Lite

MLKit

Job description

The stealth AI client in Poland is building a proactive smart assistant to transform daily workflows. You will own the Android application experience, shaping how AI feels and performs on mobile devices.

Join a high-skill team, integrate on-device AI features, and optimize for latency and efficiency in streaming scenarios. This role demands deep Kotlin expertise and a product-minded engineer who thrives in AI-heavy workloads.