Travoom

Backend Engineer

• Define and lead the long-term technical architecture of OleOle’s football-focused social network and super app
• Lead backend architecture and infrastructure strategy using Rust-based systems
• Help build scalable systems supporting feeds, messaging, live updates, video, and data infrastructure
• Oversee engineering direction across backend, frontend, infrastructure, and product systems
• Partner closely with leadership on product and company strategy
• Establish engineering culture, hiring standards, and technical execution processes
• Work directly with engineers on architecture reviews, tradeoffs, and implementation decisions
• Help design future financial infrastructure including rewards, wallets, payments, and crypto-related systems
• Support AI-powered systems including translation, recommendation, search, and football history infrastructure
• Ensure scalability, reliability, performance, and security across all systems
• Build and ship production systems hands-on, including coding, architecture reviews, and implementation decisions

CTO, Startup Experience, Hands-On Rust

Artificial Intelligence

• Design and lead the architecture of a next-generation conversational AI platform replacing traditional search with intelligent dialogue
• Own systems that understand user intent and determine the information needed to satisfy requests
• Retrieve data from multiple real-time providers and reason across competing options
• Generate conversational responses that guide users from discovery to transaction
• Architect the AI orchestration layer coordinating large language models, specialized agents, retrieval systems, recommendation engines, and external APIs
• Assemble and rank information from ticketing providers, hotels, airlines, restaurants, transportation, maps, weather, and other third-party data sources
• Design AI-native systems for multi-step task planning, conversational context, tool execution, result ranking, and recommendation adaptation based on user feedback
• Define technical vision and establish architectural standards
• Evaluate emerging AI technologies and make long-term decisions on LLM strategy, retrieval architecture, agent design, memory management, semantic search, vector databases, knowledge graphs, and AI evaluation frameworks
• Mentor senior engineers, architects, and principal engineers
• Collaborate with Principal Architects across backend infrastructure, payments, blockchain, messaging, mini-programs, and platform services
• Ensure seamless ecosystem integration with scalability, reliability, performance, and user experience

Principal AI Search – Conversation Architect

• Design and lead the architecture of a next-generation conversational AI platform that replaces traditional search with intelligent dialogue
• Own systems that understand user intent, determine required information, retrieve data from multiple real-time providers, reason across competing options, and generate conversational responses leading from discovery to transaction
• Architect the AI orchestration layer coordinating multiple LLMs, specialized agents, retrieval systems, recommendation engines, and external APIs
• Assemble and rank information from ticketing providers, hotels, airlines, restaurants, transportation, maps, weather, and other third-party sources
• Design systems for multi-step task planning, conversational context, tool execution, result ranking, and adaptive recommendations
• Define technical vision and architectural standards
• Evaluate emerging AI technologies
• Mentor senior engineers, architects, and principal engineers
• Make long-term decisions regarding LLM strategy, retrieval architecture, agent design, memory management, semantic search, vector databases, knowledge graphs, and AI evaluation frameworks
• Collaborate with Principal Architects across backend infrastructure, payments, blockchain, messaging, mini-programs, and platform services
• Ensure integration across the ecosystem while maintaining scalability, reliability, performance, and user experience

Principal AI Search & Conversation Architect

• Define and lead the long-term technical architecture of the platform
• Lead backend architecture and infrastructure strategy using Rust-based systems
• Help build scalable systems supporting feeds, messaging, live updates, video, and data infrastructure
• Oversee engineering direction across backend, frontend, infrastructure, and product systems
• Partner closely with leadership on product and company strategy
• Establish engineering culture, hiring standards, and technical execution processes
• Work directly with engineers on architecture reviews, tradeoffs, and implementation decisions
• Help design future financial infrastructure including rewards, wallets, payments, and crypto-related systems
• Support AI-powered systems including translation, recommendation, search, and football history infrastructure
• Ensure scalability, reliability, performance, and security across all systems

CTO, Startup, Rust

Infrastructure Engineer

• Design and build scalable short-form video infrastructure
• Architect video ingestion and transcoding pipelines
• Optimize playback performance across mobile and web
• Design scalable media delivery systems
• Build APIs supporting high-volume video engagement
• Help architect recommendation and engagement systems
• Work on low-latency media infrastructure
• Collaborate with frontend, mobile, AI, and platform engineers
• Help optimize infrastructure for global fan engagement at scale

Experienced Rust Video Engineer – TikTok-Style Video Infrastructure

AI Engineer

• The Principal AI Search & Conversation Architect will be responsible for designing and leading the architecture of a next-generation conversational AI platform that replaces traditional search with intelligent dialogue.
• This role owns the systems that understand user intent, determine what information is needed to satisfy a request, retrieve data from multiple real-time providers, reason across competing options, and generate conversational responses that lead users from discovery to transaction.
• The successful candidate will architect the AI orchestration layer that coordinates multiple large language models, specialized agents, retrieval systems, recommendation engines, and external APIs into a single seamless conversational experience.
• Rather than returning lists of search results, the platform will assemble and rank information from ticketing providers, hotels, airlines, restaurants, transportation services, mapping platforms, weather services, and other third-party data sources, presenting recommendations through natural conversation.
• This role requires deep experience designing AI-native systems capable of planning multi-step tasks, maintaining conversational context, coordinating tool execution, ranking competing results, and continuously adapting recommendations based on user feedback throughout a conversation.
• The Principal Architect will define the technical vision, establish architectural standards, evaluate emerging AI technologies, mentor senior engineers, and make long-term decisions regarding LLM strategy, retrieval architecture, agent design, memory management, semantic search, vector databases, knowledge graphs, and AI evaluation frameworks.
• The position requires extensive experience building large-scale distributed systems, production AI platforms, retrieval-augmented generation (RAG), multi-agent orchestration, function calling, Model Context Protocol (MCP), recommendation systems, API orchestration, prompt architecture, conversation state management, personalization, and low-latency cloud infrastructure.
• The Principal AI Search & Conversation Architect will work closely with the company’s other Principal Architects responsible for backend infrastructure, payments, blockchain, messaging, mini-programs, and platform services to ensure the conversational platform integrates seamlessly across the entire ecosystem while maintaining exceptional scalability, reliability, performance, and user experience.

Principal AI Search, Conversation Architect

• Lead the design, architecture, and delivery of the OleOle Mini Programs platform
• Define the platform architecture, developer experience, APIs, SDKs, security model, and operational framework
• Mentor engineering teams and establish technical standards
• Collaborate with product teams to continuously expand platform capabilities
• Own the technical vision for a platform supporting digital commerce, gaming, ticketing, hospitality, news, merchandise, AI services, fan engagement, financial services, and future Web3 applications
• Define the Mini Program runtime, lifecycle management, sandboxing, and security architecture
• Develop API gateway strategy, payment integration, identity and authentication, moderation framework, analytics, versioning, and deployment pipelines
• Create a global ecosystem of third-party applications within the OleOle platform directed at football fans.