AI Chat App Engineer
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Freelance
Recurrent
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Posted over 1 year ago
Responsibilities
We’re building a bilingual chat app that leverages OpenAI to translate messages, generate contextual language tips, and simulate real-time learning interactions. We're looking for a developer with experience in real-time chat systems (e.g., Firebase or Supabase), OpenAI integration, prompt engineering, and component-based frontends (React or Next.js/V0). Experience with multilingual NLP or education-focused apps is a plus.
🔧 Core Responsibilities:
1. OpenAI Integration:
- Implement and maintain GPT-4o-based features (translation, language tips, character bots like Maria).
- Design and refine prompt engineering strategies to generate consistent, context-aware responses.
- Ensure output conforms to tone, length, formatting, and cultural specificity requirements.
2. Real-Time Chat Architecture:
- Build and maintain real-time messaging infrastructure using Firebase (or similar).
- Enable session-based conversations via Room ID logic and participant tracking.
- Implement optimistic UI updates, delivery confirmation, and error fallback logic.
3. Front-End Development (React / Next.js / V0):
- Build responsive, multilingual chat UI components (e.g., ChatBubble, SystemMessage, room join forms).
- Ensure user-selected language settings drive message display, tip formatting, and interface behavior.
- Maintain visual consistency across human-to-human and bot chat modes.
4. Language Logic & Tip System:
- Implement language-aware message formatting: original text, translation, and contextual tip.
- Ensure all tips are displayed in the user’s preferred language, and teach the opposite language.
- Optimize storage and retrieval of multilingual message data structures in Firestore.
5. Bot Logic (Maria Bot Playground):
- Maintain isolated environment for testing chat learning experiences with Maria bot.
- Handle persona logic, accent-awareness, and casual texting constraints.
- Ensure Maria responses follow strict rules on tone, brevity, and relevancy.
6. Error Prevention & QA:
- Develop internal validation to prevent logic bleed between Maria test and live chat modes.
- Build debug tools or indicators for language mismatches, missing tips, or malformed data.
- Recommend or implement simple test cases or alert systems for regressions.
7. Deployment & Environment Management:
- Handle deployment via Vercel (or similar), troubleshoot build issues (e.g., missing exports, module paths).
- Manage secure environment variables (e.g., OpenAI keys).
- Support development of temporary password-protected preview environments for testers.