W E L L B O T
Founding Technical Lead / Architect - Real-Time Full-Body Digital Humans (AI Avatars)
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Job Title
We’re building something ambitious: AI-driven, real-time, full-body digital humans that don’t just talk — they move, express, demonstrate, and connect with the nuance of a real person.
This is not a “chatbot with a face.”
This is end-to-end embodied intelligence, running on handheld devices, at scale.
We are seeking a rare hybrid mind — someone who has already built (or led the build of) real-time, full-body digital humans, and can now architect, cost, and guide this from zero → product.
What you’ll produce
- System architecture (end-to-end)
From capture → rigging → animation → AI behaviour → real-time deployment → scale - Real-time full-body digital human pipelines
Designing for low latency, high fidelity (or moderate, to suit hand-held device), and emotional believability - Technical roadmap + milestone planning
Defining what gets built, in what order, and why — aligned with investor deliverables - Cost modelling + infrastructure decisions
Making critical calls on: - GPU usage vs edge inference
- Cloud vs on-device trade-offs
- Cost per user / scalability constraints
- Performance optimisation
Ensuring systems can run:
- On mobile / handheld devices
- With real-time responsiveness (sub-second interaction)
- At scale (concurrent users without cost explosion)
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What makes you a strong fit
You’ve likely worked as a:
- Technical Lead / Director (Real-Time / Virtual Production)
- Principal / Lead Graphics Engineer
- Real-Time Systems Architect
- Pipeline TD (film, gaming, or immersive tech)
And crucially:
You have hands-on experience building real-time, full-body digital humans
(not just facial avatars or conversational agents)
Experience we’re looking for
Real-time graphics & character systems
- Unreal Engine (MetaHuman) or equivalent real-time engines
- Full-body rigging, animation systems, blendshapes
- Motion capture pipelines (e.g. Vicon, OptiTrack, Rokoko, Xsens)
- Real-time streaming (Live Link or similar)
Capture & reconstruction
- Photogrammetry / LiDAR
- Volumetric capture or emerging methods (e.g. Gaussian splatting)
AI & behaviour layer
- Multimodal AI systems (voice, language, vision integration)
- LLM orchestration / agent systems
- Text-to-speech / speech-to-text pipelines
Scalability & performance (non-negotiable)
- Low-latency system design
- GPU optimisation (CUDA, TensorRT, etc.)
- Edge vs cloud inference decisions
- Distributed systems / real-time streaming (WebRTC, etc.)
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What we care about (beyond tools)
- You think in systems, not silos
- You’ve shipped — not just experimented
- You understand the trade-off between:
- realism vs performance
- innovation vs cost
- You can say: “Here’s how we build this, here’s what it costs, and here’s where it breaks.”
The reality
This is a foundational, high-impact role at pre-seed stage.
We have investor alignment — funding is tied to technical milestones and execution clarity.
Your work will directly determine:
- Product viability
- Infrastructure cost
- Speed to market
Ideal (but rare)
One person who can:
- Architect the system
- Design the pipeline
- Guide early build decisions
- Model cost and scalability
If you don’t cover everything but deeply specialise in real-time full-body digital humans, we still want to hear from you.
To apply
Send:
- Examples of real-time work (video, demos, portfolio)
- Brief explanation of your role in the system (what you actually built)
- Any experience with scaling or cost optimisation
If you’ve ever thought:
“Most people underestimate how hard this is” —
you’re probably who we’re looking for.
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