Job Description
We are seeking a visionary Chief AI Architect to spearhead the development of our next-generation Autonomous Agent Ecosystem, designed to define the capabilities of Artificial Intelligence in the year 2026. You will be at the forefront of building self-correcting, multimodal AI systems capable of complex reasoning and autonomous decision-making.
Why join us? We are a stealth-mode startup backed by top-tier VC funding, focused on solving the hardest problems in Large Language Model (LLM) scalability and safety. You will have the autonomy to design systems from scratch and the resources to build them at scale.
Responsibilities
- Architect and implement scalable inference pipelines for high-parameter LLMs (100B+ parameters).
- Design and train Agentic Workflows that enable AI agents to perform complex, multi-step reasoning without human intervention.
- Optimize model training throughput and reduce inference latency using distributed computing frameworks (Ray, Kubernetes).
- Establish rigorous evaluation frameworks for model safety, bias mitigation, and hallucination reduction.
- Collaborate with product teams to translate cutting-edge research into production-ready software features.
Qualifications
- Ph.D. or Master’s degree in Computer Science, Mathematics, or a related field with a focus on Machine Learning.
- Deep expertise in Python, C++, and frameworks such as PyTorch or TensorFlow.
- Extensive experience with Transformer architectures, attention mechanisms, and modern NLP techniques.
- Proven track record of deploying large-scale ML systems in production environments.
- Strong understanding of Reinforcement Learning from Human Feedback (RLHF) and Constitutional AI principles.