Lead Full Stack Engineer, AI Product

About Gengis

Gengis is building AI-native software for film, content, and virtual production teams. Our first product, YAM, helps teams turn scripts, briefs, and creative intent into structured production workflows, scene plans, schedules, and AI-assisted production intelligence. We are early-stage, Singapore-based, and building directly alongside real production teams through our studio network.

About The Role

We’re looking for a Lead Full Stack Engineer to own the first serious production version of YAM.

This is a high-ownership role for someone who wants to shape the product, architecture, engineering culture, and technical direction from the ground up. You will work directly with the founding team and production users to turn messy real-world workflows into reliable software.

This is not a narrow frontend or backend role. You should be comfortable moving across product, frontend, backend, database, AI workflow integration, deployment, and technical decision-making.

What You’ll Do

• Build and ship core product features across the full stack
• Own frontend, backend, database, auth, and deployment decisions
• Integrate AI and LLM workflows into practical user-facing product flows
• Design secure handling of scripts, documents, and production IP
• Build internal tools, dashboards, and workflow automations
• Work directly with founders and users to turn ambiguity into shipped software
• Set engineering standards for future technical hires
• Make pragmatic architecture decisions that balance speed, quality, and runway

What We’re Looking For

• 5+ years of software engineering experience
• Strong experience with React, Next.js, TypeScript, or equivalent frontend frameworks
• Strong backend experience with Node.js, Python, or similar
• Experience with Postgres, Supabase, Firebase, or similar platforms
• Experience shipping production web applications
• Good judgment around auth, data security, reliability, and maintainability
• Comfortable working in an early-stage environment with incomplete information
• Product-minded and able to think beyond tickets
• Clear communicator who can work closely with non-technical founders and creative teams

Nice To Have

• Experience with LLM APIs, RAG, agents, document parsing, or AI workflow systems
• Experience with media, video, film, production, creative tooling, or workflow software
• Experience with background jobs, queues, structured AI outputs, or multimodal systems
• Experience leading small engineering teams or mentoring other engineers
• Startup or zero-to-one product experience

You’ll Thrive Here If

• You like building from zero to one
• You can move fast without creating chaos
• You are comfortable making decisions with imperfect information
• You care about users, not just architecture
• You want meaningful ownership over product and technical direction
• You are excited by the intersection of AI, filmmaking, and production workflows

Location

Singapore preferred. Hybrid or remote within compatible time zones can be considered for the right person.

Compensation

Salary based on experience.

How To Apply

Please include:

• LinkedIn, GitHub, or portfolio
• One product or system you have shipped that you are proud of
• A short note on why this role interests you