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Expertise integrating AI APIs such as OpenAI (GPT-4/5, etc.), Claude, Gemini, xAI (Grok), and Flux.
Experience building multi-modal apps that combine text, image, and voice processing.
Proficiency in AI orchestration and chaining, including function calling, LangChain, CrewAI, or LangGraph.
Understanding of Agentic AI and building tool-using AI agents (e.g., file analyzer, tutor, assistant).
Familiarity with RAG systems and vector stores (pgVector, ChromaDB, Pinecone).
Knowledge of embedding models, prompt engineering, and memory persistence for chat or tutoring sessions.
Proficient in Flutter or React Native for cross-platform apps.
Experience with Swift (iOS) and Kotlin (Android) is a plus.
Strong understanding of mobile architecture patterns (MVC, MVVM, or Clean Architecture).
Deep integration experience with RESTful APIs and GraphQL backends.
Knowledge of Firebase, Push Notifications, Authentication (OAuth2, JWT), and in-app purchases.
Hands-on experience deploying apps on Google Play Store and Apple App Store.
Familiarity with state management (Provider, Bloc, Redux) and performance optimization.
Integration experience with Text-to-Speech (TTS) and Speech-to-Text (STT) APIs (OpenAI Whisper, Google Speech, ElevenLabs, Deepgram).
Ability to create real-time conversational voice experiences (voice chat, audio response playback).
Knowledge of voice trigger systems (“Hey CleverCreator”) and audio recording optimization.
Understanding of audio streaming and buffering for low-latency user interactions.
Knowledge of AI image generation tools such as DALL·E, Stable Diffusion, Flux, and similar platforms for visual workflows.
Familiarity with AI video generation tools (Runway ML, Pika Labs, Luma AI, Kaiber).
Experience creating user-facing visual generation interfaces with live previews, gallery, and history.
Knowledge of AI image enhancement, inpainting, and background removal.
Comfortable integrating asynchronous AI generation pipelines and status tracking.
Create intelligent chat UIs with live streaming tokens, typing indicators, and multi-agent switching.
Develop AI tutoring dashboards with real-time scoring, adaptive learning feedback, and course tracking.
Design voice-enabled chat interfaces with TTS replies and quick-access recording buttons.
Build AI tool hubs or studios for image, video, and content creation within mobile apps.
Expertise in UI/UX collaboration, Lottie animations, and adaptive layouts.
Experience with FastAPI, Flask, or Laravel backends.
Familiarity with PostgreSQL, Redis, Firebase Realtime Database, and AWS RDS.
Experience deploying services via Google Cloud Run, AWS Lambda, or Azure Functions.
Knowledge of Docker, GitHub Actions, and CI/CD automation for app builds.
Familiarity with secure key management and rate limiting for AI API usage.
Understanding of edge inference or on-device LLMs (Ollama, MLC.ai, TensorFlow Lite).
Implement secure data storage, token handling, and user data encryption.
Experience with analytics SDKs (Firebase Analytics, Mixpanel, Amplitude) for AI usage tracking.
Familiarity with GDPR, COPPA, and data compliance for education and business users.
Ability to monitor API costs, model latency, and optimize AI call performance.
Design and develop AI-integrated mobile apps with chat, tutoring, and creative generation features.
Implement AI chatbots with multi-turn conversation, memory retention, and contextual understanding.
Build AI tutoring modules capable of explaining lessons, generating questions, and assessing user answers.
Integrate text, voice, and image generation APIs for seamless creative workflows.
Create AI agents that can assist, recommend, summarize, or analyze user inputs.
Implement real-time RAG chat systems with custom datasets and vector searches.
Integrate voice-based controls using TTS/STT and enable natural voice communication.
Connect mobile clients to backend AI pipelines securely and efficiently.
Ensure mobile AI systems are scalable, low-latency, and energy efficient.
Work closely with backend developers and AI engineers to integrate model APIs.
Collaborate with UI/UX designers for conversational and interactive designs.
Write clean, modular, well-documented code following best practices.
Conduct testing, debugging, and QA across multiple devices and OS versions.
Manage app deployment, version control, and release notes.
Monitor post-launch performance and user feedback to enhance AI models and UX.
4–7 years of experience in mobile app development (Flutter or React Native).
Proven experience building AI-powered mobile apps (with demo or published links).
Hands-on integration experience with AI providers (OpenAI, Claude, Gemini, etc.).
Demonstrated knowledge of voice, image, or video-based AI features.
Strong understanding of API communication, latency handling, and streaming.
Fluent in English, and Bangla proficiency preferred.
Familiarity with Agile/Scrum workflow and Git-based collaboration.
6 days/week: Saturday – Thursday
Friday off
Hybrid: Dhaka preferred
Government holidays observed
Flexible global collaboration hours
| Component | Details |
|---|---|
| Base Salary | 45,000 – 85,000 BDT/month (based on experience) |
| Performance Bonus | Annual bonus based on app performance and innovation |
| Growth Path | Mobile Developer → Senior AI Engineer → Lead Mobile Architect → AI Product Director |
Build with cutting-edge AI tech (GPT-5, Claude 3, Gemini 1.5, Flux, Stable Diffusion).
Free CleverCreator.ai Pro access for personal and experimental use.
Opportunity to lead mobile AI architecture and design next-gen education tools.
Access to AI training, certifications, and open-source collaboration.
Global visibility — your code and apps power real classrooms and creators worldwide.
Friendly, innovative, and growth-oriented environment.
