Principal AI Architect (AI)

Location: Remote; Austin, TX, United States. Some travel is required.

Company

OleOle is building a global social network and messaging SuperApp for football fans, combining social networking, encrypted messaging, live scores, video, multilingual content, payments, digital wallets, AI, and Mini Programs.

What you will do

• Establish the AI architecture for the global consumer SuperApp.
• Lead the development of AskOle, real-time multilingual translation, AI-powered sports history and content generation, the sports data engine, and future AI capabilities.
• Develop, fine-tune, optimize, integrate, deploy, and operate production AI models and infrastructure.
• Evaluate and implement emerging AI technologies and build an adaptable, cost-efficient AI foundation.
• Provide technical leadership across AI projects while writing code, solving complex engineering problems, and delivering functioning systems.

Requirements

• 10+ years of software engineering, machine learning, or AI engineering experience, including demonstrated principal-level technical leadership.
• Extensive hands-on experience developing, training, fine-tuning, and deploying production AI models.
• Expert proficiency in Python, PyTorch, transformer architectures, and deep learning frameworks.
• Experience with open-source foundation models such as Llama, Qwen, Mistral, or equivalent; LoRA, QLoRA, supervised fine-tuning, model evaluation, and optimization.
• Deep knowledge of GPU computing, model quantization, batching, memory management, and inference performance.
• Production experience with vLLM, TensorRT-LLM, Triton Inference Server, or comparable inference technologies.
• Strong distributed-systems architecture and cloud infrastructure expertise.
• Ability to independently build and deploy complex AI systems rather than exclusively manage engineering teams.
• Experience leading engineering initiatives and establishing technical standards across multiple AI projects.

Nice to have

• Experience building consumer AI platforms at significant scale.
• Multilingual and multimodal AI engineering experience.
• Recommendation systems, ranking algorithms, and personalization experience.
• Real-time AI inference and streaming architecture experience.
• Contributions to open-source AI projects or published AI research.
• Understanding of football and international sports.

Culture & Benefits

• Early-stage, rapidly growing startup environment with broad problem-solving responsibilities and shifting priorities.
• Entrepreneurial culture emphasizing independence, creative solutions, and minimal micromanagement.
• Deferred compensation is accrued and payable after funding; it then transitions to a regular salary, equity ownership, and OleX token participation.
• The role requires comfort with uncertain funding timelines and the risks of an early-stage company.
• The position is full-time and requires some travel.

Hiring process

• Applicants should be prepared to demonstrate hands-on AI architecture, model development, optimization, and production deployment experience.