Android Software Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Android Software Engineer (AI): Building a proactive AI-native smart assistant for everyday users with an accent on high reliability for long-running workflows and real-world task completion. Focus on designing UX patterns for AI interactions, optimizing on-device performance, and integrating LLM, vision, and speech APIs.
Location: Remote (Ireland)
Company
is developing a proactive AI-native smart assistant to bring intelligence to conversations, errands, and workflows with minimal prompting.
What you will do
- Build and maintain production Android applications using Kotlin.
- Integrate AI-powered features including chat, vision, voice, and recommendations via backend APIs.
- Design UX patterns for AI interactions, such as streaming responses and partial results.
- Optimize performance, memory usage, and responsiveness for AI-heavy workflows.
- Collaborate with backend and ML engineers on API contracts and system behavior.
- Ensure application stability, security, and scalability in production environments.
Requirements
- 3+ years of Android development experience using Kotlin.
- Hands-on experience integrating AI features (LLM, vision, speech APIs).
- Strong proficiency in asynchronous programming using Coroutines and Flow.
- Experience with REST or gRPC APIs and structured data formats.
- Proven track record of publishing production apps on the Google Play Store.
- Experience with MLKit or light on-device inference.
Nice to have
- Knowledge of TensorFlow Lite for on-device inference.
- Experience with SQL/noSQL databases.
Culture & Benefits
- High talent density environment with a focus on rapid speed and collective decision-making.
- Balance between shipping high-quality work and continuous learning.
- Opportunity to build a truly magical product with a world-class small team.
- Emphasis on transparency and efficiency in communication.
Hiring process
- Application evaluation by technical team members.
- A series of 3 to 4 interviews conducted via virtual meetings or onsite.
- Prompt decision-making process.
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