Lead FullStack Engineer

Lead Full Stack Engineer Team Scope:
Backend
· Frontend
· AI/ML
· Dev Ops Experience  Level: 6–10 Years Key Stack :
Node.js (primary)
· Python
· Type Script  
· React/Next.jsLFFeatured Job# Lead Full Stack Engineer Team Scope:
Backend
· Frontend
· AI/ML
· Dev Ops Experience  Level: 6–10 Years Key Stack :
Node.js (primary)
· Python
· Type Script  
· React/Next.jsFull-Time Abu Dhabi , UAEOn Site## Job Overview Team Scope:
Backend
· Frontend
· AI/ML
· Dev Ops Experience  Level: 6–10 Years Key Stack :
Node.js (primary)
· Python
· Type Script  
· React/Next.js
** About the Role
** We are looking for a seasoned AI Full Stack Tech Lead to own the technical direction of our product engineering team. Inspired by profiles like senior engineers with a track record across backend services, frontend delivery, and AI product integration — this role demands both depth and breadth. You will architect and build backend systems in Node.js, ship full-stack features using React/Next.js,

integrate AI capabilities (LLMs, automation, data pipelines), and lead a cross-functional team of backend, frontend, and AI engineers. You bring a strong AI-first mindset and actively leverage AI coding tools to elevate team velocity.
** What makes this role unique
*** You are not just a backend engineer — you lead end-to-end: API, UI, and AI
* AI is core to the product, not a side feature — LLM integration is day-one work
* You actively use AI coding assistants (Copilot, Cursor, Claude Code) and champion them across the team
* You will shape architecture decisions that directly affect product performance and customer experience
** Key Responsibilities
**** Backend Architecture & Engineering*
* • Design and own scalable backend systems using Node.js — REST APIs, microservices, event-driven architecture
• Build Python-based services for data pipelines, ML integration, and automation workflows
• Architect database schemas and storage strategies across SQL (PostgreSQL) and No

SQL (MongoDB, Redis)
• Own observability: structured logging, monitoring, alerting, and performance profiling in production
• Drive CI/CD pipelines, infrastructure-as-code, and Dev Ops best practices across the team Full Stack Development
• Build and review frontend features using React / Next.js and Type Script
• Define frontend architecture standards: component design, state management, API integration patterns
• Collaborate with designers and product managers to deliver polished, performant user-facing features
• Ensure frontend quality through code reviews, performance audits, and cross-browser compatibility
** AI & ML Integration*
* • Integrate LLM APIs (OpenAI, Anthropic, open-source models) into product features
• Design and implement RAG pipelines, prompt engineering workflows, and AI-powered automation
• Work with the AI research team on model serving, embedding pipelines, and vector search (e.g. pgvector, Pinecone)
• Own reliability and cost tradeoffs for AI features in production — latency, token budgets, fallback strategies
** Team Leadership
*** Lead a cross-functional team of backend, frontend, and AI engineers — day-to-day technical direction
* Conduct regular code reviews, architectural reviews, and technical design sessions
* Mentor engineers at all levels; define team engineering standards and growth paths
* Own the technical roadmap and translate product requirements into clear engineering plans
* Champion AI coding tools across the team — establish best practices for AI-assisted development
* ** Required Skills & Experience*
* ● Node.js — 6+ years, expert level
● Type Script — strong, production experience
● REST API & GraphQL design
● PostgreSQL / MySQL — schema design & tuning
● AWS / GCP / Azure — cloud-native services
● CI/CD — Git Hub Actions, pipelines, IaC
● AI coding tools — Copilot, Cursor, or similar
● System design & architectural decision-making
● Agile / iterative product delivery
● Cross-functional team leadership (5+ engineers)
● LLM API integration (OpenAI / Anthropic)
● Docker & Kubernetes
● MongoDB / Redis / caching strategies
● Microservices & distributed systems
● React / Next.js — full stack delivery
● Python — proficient (FastAPI, Django, scripts)
** Nice to Have
*** AI/ML frameworks:
Lang Chain, Llama Index, Hugging Face, open-source LLMs (Mistral, LLaMA)
* Vector databases:
Pinecone, Weaviate, Qdrant, or pgvector for RAG pipelines
• Data engineering: ETL pipelines, data streaming (Kafka), or time-series systems
• Dev Ops depth:
Terraform, Helm, advanced Kubernetes, or observability platforms (Datadog, Grafana)
* Product sense:
Experience working on AI-native or automation-first products
* Open source:
Active contributions to open source projects or a visible technical portfolio
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