Principal AI Architect — OleOle

Travoom; Austin (TX); On-site; USD 180,000 - 260,000; Full time

Job summary

OleOle in Austin, Texas seeks a hands-on Principal AI Architect to lead architecture, development, deployment, and evolution of AI initiatives across our global SuperApp. You will build and operate production AI systems, fine-tune models, and shape the end-to-end AI foundation.

You will work with open-source foundation models, self-hosted infrastructure, GPU optimization, and scalable cloud architecture to deliver cost-efficient, globally available capabilities.

Qualifications

• 10+ years of software engineering, machine learning, or AI engineering experience, with 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.
• Demonstrated experience with open-source foundation models, including Llama, Qwen, Mistral, or equivalent.
• Strong experience with 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.
• Proven ability to independently build and deploy complex AI systems rather than exclusively managing engineering teams.
• Experience leading engineering initiatives and establishing technical standards across multiple AI projects.

Responsibilities

• Lead the overall AI architecture and initiatives across the OleOle ecosystem.
• Develop, fine-tune, deploy, and operate production AI models and infrastructure.
• Collaborate with AI engineers and other teams to maintain scalable, cost-efficient AI foundations.
• Evaluate emerging AI technologies and translate them into new products and capabilities.
• Set technical standards and drive architectural decisions across multiple AI projects.

Skills

Python

PyTorch

Transformer models

LoRA/QLoRA

GPU optimization

vLLM/TensorRT

Distributed systems

Cloud infrastructure

Production AI systems

Tools

Llama

Qwen

Mistral

TensorRT-LLM

Triton Inference Server

vLLM

Job description

OleOle is building a global social network and messaging platform for football fans. Our mission is to create a single global community where supporters can follow their club and country, connect with other fans, message and call each other, follow live matches, discover content, and ultimately access a broader ecosystem of football products and services.

The OleOle platform combines social networking, encrypted messaging, live scores, video, multilingual content, payments, digital wallets, AI, and Mini Programs designed around the global football community.

OleOle — Where Fans Kick Off.

Job Description

OleOle is seeking an exceptional, hands‑on Principal AI Architect to lead the architecture, development, deployment, and ongoing evolution of artificial intelligence initiatives across our global consumer SuperApp.

This is not a position for someone whose primary experience is connecting applications to ChatGPT, Claude, or Gemini APIs. We need an engineer with deep, firsthand experience developing, fine‑tuning, deploying, and operating AI models and infrastructure.

stablishing our overall AI architecture and leading initiatives that include AskOle, real‑time multilingual translation, our AI‑powered sports history and content generation systems, our sports data engine, and future AI capabilities that have yet to be conceived.

The role requires someone who understands AI at a fundamental engineering level and can determine how different models, technologies, and infrastructure should work together efficiently, reliably, and at global scale.

The Principal AI Architect will work alongside our existing engineering teams and specialized AI engineers, providing technical leadership while remaining directly involved in architecture, model development, fine‑tuning, optimization, integration, and deployment.

We are particularly interested in engineers with deep experience in open‑source foundation models, self‑hosted AI infrastructure, GPU optimization, and production AI systems. The objective is to build an adaptable, cost‑efficient AI foundation that allows OleOle to develop new capabilities without becoming dependent on any single AI provider or technology.

This is a hands‑on technical leadership position, not a project management or advisory role. We need someone capable of making critical architectural decisions, writing code, solving difficult engineering problems, and taking responsibility for delivering functioning AI systems.

Beyond today's initiatives, this person will help identify, evaluate, and implement emerging AI technologies that can create entirely new products, capabilities, and business opportunities throughout the OleOle ecosystem.

Qualifications

Required Qualifications

10+ years of software engineering, machine learning, or AI engineering experience, with 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.

Demonstrated experience with open‑source foundation models, including Llama, Qwen, Mistral, or equivalent.

Strong experience with 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.

Proven ability to independently build and deploy complex AI systems rather than exclusively managing engineering teams.

Experience leading engineering initiatives and establishing technical standards across multiple AI projects.

Preferred Qualifications

Experience building consumer AI platforms operating at significant scale.

Multilingual and multimodal AI engineering experience.

Recommendation systems, ranking algorithms, and personalization.

Real‑time AI inference and streaming architectures.

Contributions to open‑source AI projects or published AI research.

Compensation

OleOle operates under a deferred‑compensation structure while securing funding. This is not free work or a volunteer position. Compensation is accrued and payable following funding, after which it transitions to a regular salary, equity ownership, and OleX token participation in the overall OleOle group of companies. This opportunity is intended for an entrepreneurial engineering leader interested in building and owning a meaningful part of a global technology business.

Additional Information

Solutions not problems .

• Creative problem solver who can courageously propose and support new ideas to our organization. Not interested in best practices, lets build something better!
• Ability to adapt. An ideal candidate will welcome the opportunity to solve a broad range of problems using a wide array of technologies.
• Comfortable with ambiguity, shifting priorities and general growing pains of an early‑stage technology company
• An exceptional entrepreneurial judgment that fosters independence over micro‑management
• Understanding of football and international sports a huge plus

Deferred compensation

This opportunity is designed for entrepreneurial, startup‑minded engineers who want to help build a significant global business. This is not free work. Compensation is agreed upon and deferred until funding is secured, at which point it transitions to a competitive, normalized salary plus equity and OleX token ownership. Our entire team, including the founder, operates under this arrangement. This position is intended for individuals who understand the risks of an early‑stage startup, are comfortable with uncertain funding timelines, and are motivated by the opportunity to build something substantial while participating in its long‑term ownership and success.

Ole Ole is located in beautiful Austin Texas, however, this role requires sometravel we are privately held and rapidly growing!