Tech Lead – Global Team

About the Role

As an AI-Driven Tech Lead, you’ll play a critical role in shaping Liven’s evolution into an intelligent, next-generation platform. This is a hands-on technical leadership position where you’ll drive architecture, build AI-powered systems, and lead innovation across our product ecosystem.

You’ll work closely with Product, Design, and Data teams to embed AI into the core of our platform—unlocking smarter automation, real-time personalization, and data-driven decision-making at scale.

What You'll Do

• Design and build AI-driven features and systems across Liven’s platform
• Lead by example through hands-on coding, architecture, and technical decision-making
• Integrate AI/ML capabilities (LLMs, automation, intelligent workflows) into production systems
• Collaborate with Product and Design to deliver AI-first user experiences
• Own system architecture across backend services, APIs, and cloud infrastructure
• Ensure scalability, performance, and reliability of high-impact systems
• Drive rapid experimentation and prototyping of AI-powered solutions
• Mentor engineers and elevate engineering standards across the team
• Partner with Data teams to turn data into real-time, actionable insights

Qualifications

• 8+ years of software engineering experience in building scalable systems
• Strong expertise in backend development, APIs, and distributed systems
• Experience or strong interest in AI/ML, LLMs, or intelligent automation
• Proven track record of delivering complex systems from concept to production
• Strong system design and cloud infrastructure experience
• Experience mentoring engineers and providing technical leadership
• Comfortable working in a fast-paced, high-growth environment
• Excellent communication and collaboration skills
• Passion for building innovative, AI-powered products

Bonus Points For

• Experience building or integrating AI-powered features in production
• Familiarity with Liven’s stack: Node.js, React, TypeScript, PostgreSQL, AWS, Kubernetes
• Exposure to MLOps, data pipelines, or real-time processing systems
• Experience in hospitality, fintech, or platform-based businesses