Website Bjak
About Bjak
Bjak is a self-funded AI group, operating in full stealth. We’re building a new global consumer AI application focused on an important but underexplored use case.
Job Summary
You will shape the core technical direction of A1 – model selection, training strategy, infrastructure, and long-term architecture. This is a founding technical role: your decisions will define our model stack, our data strategy, and our product capabilities for years ahead.
You won’t just fine-tune models – you’ll design systems: training pipelines, evaluation frameworks, inference stacks, and scalable deployment architectures. You will have full autonomy to experiment with frontier models (LLaMA, Mistral, Qwen, Claude-compatible architectures) and build new approaches where existing ones fall short.
Why This Role Matters
- You are creating the intelligence layer of A1’s first product, defining how it understands, reasons, and interacts with users.
- Your decisions shape our entire technical foundation — model architectures, training pipelines, inference systems, and long-term scalability.
- You will push beyond typical chatbot use cases, working on a problem space that requires original thinking, experimentation, and contrarian insight.
- You influence not just how the product works, but what it becomes, helping steer the direction of our earliest use cases.
- You are joining as a founding builder, setting engineering standards, contributing to culture, and helping create one of the most meaningful AI applications of this wave.
What You’ll Do
- Build end-to-end training pipelines: data → training → eval → inference
- Design new model architectures or adapt open-source frontier models
- Fine-tune models using state-of-the-art methods (LoRA/QLoRA, SFT, DPO, distillation)
- Architect scalable inference systems using vLLM / TensorRT-LLM / DeepSpeed
- Build data systems for high-quality synthetic and real-world training data
- Develop alignment, safety, and guardrail strategies
- Design evaluation frameworks across performance, robustness, safety, and bias
- Own deployment: GPU optimization, latency reduction, scaling policies
To apply for this job please visit jobs.ashbyhq.com.