[Hiring] Android Engineer @Sowelo Consulting

Role Description

Want to engineer production-grade Android applications where real-time, interactive AI drives the core user experience? Are you looking for a role where you can bridge modern Kotlin craft with cutting-edge on-device inference and intelligent backend services? Great, then please read on as we have a role for you. This role is based in Europe.

As an Android Software Engineer, you will own the native client experience, shaping how intelligent, data-driven features feel, behave, and perform on mobile devices. This is a core engineering role where interactive AI capabilities are central to the product ecosystem, demanding exceptional mobile performance, rock-solid reliability, and intuitive design.

Key Responsibilities

• Build and maintain high-performance native Android applications using Kotlin.
• Integrate intelligent product features (chat, vision, voice, recommendations) seamlessly via backend APIs.
• Architect user experience patterns designed for real-time interactions, including streaming responses, progress indicators, retries, and partial failure states.
• Profile and optimize app performance, memory consumption, and battery efficiency for resource-intensive features.
• Implement telemetry, logging, and feedback loops to support continuous model evaluation and product iteration.
• Partner with ML and backend engineering teams to define API contracts, protocols, and system behaviors.
• Uphold production quality, app security, and Play Store release standards.

Qualifications

• 3+ years of professional Android development experience using Kotlin.
• Practical experience integrating AI-driven capabilities (such as LLMs, vision, or speech APIs) into production apps.
• Strong mastery of asynchronous programming using Kotlin Coroutines and Flow.
• Solid experience working with REST or gRPC APIs and structured data formats.
• Demonstrated capability to build resilient mobile interfaces around latency, network instability, and dynamic model responses.
• Strong debugging, memory management, and performance profiling skills.
• Exposure to on-device ML frameworks (e.g., MLKit, TensorFlow Lite).
• Track record of publishing and supporting production applications on the Google Play Store.

Benefits

• Small founding team, building a greenfield AI email product from scratch.
• High-caliber engineers from top tech companies; very high technical bar.
• Fully remote, global team, strong ownership, and visible impact.
• Very strong reward culture (including significant equity and high comp flexibility).