Ubego is a global platform where authors create scenarios in editor:
- excursions
- quests
- games in real life
Consumers buy and participate in these excursions / games with the mobile app.
Ubego currently works in 60+ cities, and we continue to expand worldwide. In the near future, we plan to provide authors and customers with augmented reality functions. Ubego's goal is to create millions of quests so that customers can play these games every weekend and in most places around the world.
My team and I believe that Ubego will embrace the world because we automatize excursions. It is just as obvious that people will use their smartphones for excursions as it is that autopilots will replace drivers. A cheaper, better service that makes customers independent will always win.
Benefits
- We work for 7 years
- We have huge repeat purchase rate of 16%+
- We earn money and grow
- We have worldwide scalable business model
- We are team of experienced and obsessive people
- We have great company culture and ambitious goal
How we work
We work with use of Scrum methodology. There are 1 week sprints followed by discussing and planning.
We are following Lean startup methodology where we actively test ideas.
Responsibilities:
- Act as the Team Leader for an AI-driven engineering workflow by orchestrating, coordinating, and reviewing the work of AI agents instead of managing a traditional development team.
- Define technical specifications for AI agents, validate the code they generate, and ensure the delivery of production-ready features.
- Lead the development of an AI-driven pipeline for the automatic creation, processing, and publication of real-life and digital quests.
- Organize and supervise AI agents responsible for integrating AI frameworks such as LangChain, CrewAI, AutoGen, Haystack, LlamaIndex, AgentZero, OpenClaw, Hermes, and similar technologies into a unified content generation ecosystem.
- Lead the design and implementation of scalable AI workflows for generating quest narratives, game logic, and interactive content.
- Coordinate the development of API integrations with third-party services, external data providers, and automation platforms.
- Design software architecture, data models, and development workflows while maintaining technical documentation (UML / BPMN).
- Collaborate with writers, designers, data scientists, and product managers to ensure AI-generated content meets quality standards.
- Organize unit and integration testing using pytest or unittest and ensure high software quality.
- Continuously improve AI-assisted development processes using tools such as Copilot, Cursor, Claude Code, Aider, and similar platforms.
- Lead the development of a real-world feedback system for validating LLM-generated content against real-world data.
- Perform architecture reviews, code reviews, and end-to-end validation of AI-generated implementations.
Skills Requirements
Programming Languages & Frameworks
- Python
- Flask or Django
- SQL / NoSQL
AI & Automation
- Mandatory daily experience with AI-assisted development tools (GitHub Copilot, Cursor, Claude Code, Aider, OpenAI Agents SDK, etc.)
- Experience building and maintaining a complete AI Development Harness with a high level of automation.
- Experience designing, developing, and orchestrating AI agents.
- Experience integrating AI frameworks such as LangChain, LangGraph, AutoGen, CrewAI, Haystack, LlamaIndex, or similar.
Development Tools
- Git / GitLab Code Review
- Linux
- Selenium
- Requests
- pytest / unittest
Software Engineering
- Software Architecture Design
- API Design & Integration
- UML
- BPMN
- Technical Documentation
Nice to Have
- Docker / Kubernetes
- FastAPI
- Beautiful Soup / Scrapy
- Snscrape
- Pandas
- Data Analysis & Visualization
- Data Wrangling
- Business Analytics
- Unit Economics
- Product Management
- Machine Learning / Deep Learning
- TensorFlow / PyTorch / Scikit-learn / OpenCV
- Chatwoot
- Flowise
- Langflow
- Phidata
- OpenClaw
- Hermes
- AgentZero
- n8n
- Experience working with large datasets
Personality requirements
- Highly disciplined. Using task management tools to direct both human and AI workflows.
- Tolerant to writing documentation (and writing precise specs for AI agents).
- Ambitious. Ready to work hard to earn billions.
- Desire to autonomously deliver features by designing/improving product requirements, delegating implementation to AI agents, and rigorously testing their output.
Comfortable acting as the "human in the loop" for a fully AI-driven development pipeline.
We offer an option- Up to 1 500 000 shares of Ubego (at the moment there are 11 500 000 shares). P shares hourly + dividends.
- Workload amount is 15-20 hours weekly. You can mix easily with your office job.
- This is an equity based compensation opportunity. To apply, you need to have a full-time job.
We are looking for investments nowadays and current company valuation estimated by a 3rd party investment manager as for $6,000,000. So it will be hard for you to get to the team. But we encourage you to try!
web site: https://ubego.quest
mobile app: https://ubego.quest/download
Send CV to wa.me/972559849254
CV can be in Russian or English language.
Similar Jobs
What you need to know about the Colorado Tech Scene
Key Facts About Colorado Tech
- Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
- Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
- Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
- Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute
