أبلاي إيدج ابدأ البحث عن عمل

Senior Full Stack Engineer

Luna PR · Dubai, United Arab Emirates

قدّم وتابع مع أبلاي إيدج
MissionOwn end-to-end features across the Niks React frontend and Supabase backend. You will ship high-impact modules such as client onboarding, AI content workspaces, and media intelligence dashboards while mentoring junior engineers.What You Will Do• Build and maintain features across React 18, TypeScript, Vite, and Supabase Edge Functions.• Design reusable UI components with Tailwind CSS, Radix UI, and shadcn/ui patterns.• Write secure RLS policies, PostgreSQL migrations, and Deno edge functions.• Integrate OpenAI and Gemini APIs into production content pipelines.• Lead code reviews, set frontend architecture standards, and unblock teammates.• Profile and optimize bundle size, query performance, and render cycles.• Architect prompt pipelines using OpenAI Responses API, GPT-5.6 family, and Gemini fallbacks.• Build structured output parsers, JSON schema validators, and retry/fallback logic.• Implement embedding-based retrieval, few-shot exemplar matching, and RAG grounding.• Evaluate model output quality, latency, and cost across content types.• Create guardrails against hallucination, bias, and off-brand output.• Collaborate with product on new AI features and human-in-the-loop workflows.Requirements• 5+ years shipping production web applications.• Deep expertise in React, TypeScript, and modern state management (TanStack Query, Zustand).• Experience with PostgreSQL, Supabase, or equivalent BaaS platforms.• Comfortable owning features from Figma to deployment.• Strong understanding of authentication, RLS, and multi-tenant data security.• Deep experience with OpenAI and/or Gemini APIs, embeddings, and fine-tuning concepts.• Strong TypeScript/Python skills and comfort with prompt engineering.• Track record of shipping AI features with measurable quality improvements.• Understanding of retrieval systems, vector stores, and evaluation frameworks.Nice to Have• Experience with AI/LLM integrations and prompt engineering.• Background in PR, media, or marketing technology.• Contributions to open-source frontend or backend tooling.• Background in NLP, journalism, or PR/comms workflows.• Experience with evaluation tools such as LangSmith, Weights & Biases, or custom evals.• Knowledge of multi-modal models and slide/PPTX generation.