AI-Driven Full-Stack Tech Lead

CNTXT AI; Abu Dhabi; On-site; AED 320,000 - 520,000; Full time

Job summary

CNTXT AI seeks a seasoned AI Full Stack Tech Lead to own the technical direction of our product engineering team. You will architect backend systems in Node.js, ship full‑stack features with React/Next.js, and integrate AI capabilities across data pipelines and LLMs.

You will lead a cross‑functional team of backend, frontend, and AI engineers, shaping architecture decisions that impact product performance and customer experience. AI-first mindset and hands‑on tooling are essential.

Qualifications

• Node.js — 6+ years, expert level.
• CI/CD — GitHub Actions, pipelines, IaC.
• AI coding tools — Copilot, Cursor, or similar.
• Cross-functional team leadership (5+ engineers).
• MongoDB / Redis / caching strategies.

Responsibilities

• 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 NoSQL (MongoDB, Redis).
• Own observability: structured logging, monitoring, alerting, and performance profiling in production.
• Drive CI/CD pipelines, infrastructure‑as‑code, and DevOps best practices across the team.
• Build and review frontend features using React / Next.js and TypeScript.
• Collaborate with designers and product managers to deliver polished, performant user‑facing features.

Skills

Node.js

CI/CD

AI coding tools

Cross-functional leadership

MongoDB/Redis/retry caching

Job description

CNTXT AI seeks a seasoned AI Full Stack Tech Lead to own the technical direction of our product engineering team. You will architect backend systems in Node.js, ship full‑stack features with React/Next.js, and integrate AI capabilities across data pipelines and LLMs.

You will lead a cross‑functional team of backend, frontend, and AI engineers, shaping architecture decisions that impact product performance and customer experience. AI-first mindset and hands‑on tooling are essential.