Sourcing Location: South America but happy to welcome candidates that are within -5H of UK time Working Hours: 9AM - 5PM UK Time Compensation: $2000 - $2500
We are a venture capital fund investing in early stage gaming and AI startups. Weve built our own internal AI systems to run the firm and we need someone to help us build more of it faster.
The role
Youll work directly with our AI & Data Operations lead on the systems that power how our team operates day-to-day. Internal tools integrations LLM-powered workflows and the backend infrastructure underneath all of it practical work that gets used immediately and has to hold up over time. The goal isnt extra engineering capacity its expanding what our internal AI layer can carry.
What youll actually do
Build and maintain the backend infrastructure behind our internal AI systems
Design and manage the databases that power our workflows
Build internal tools and services that make our investment team faster
Wire up LLMs into real workflows investment diligence meeting prep CRM enrichment research
Pair with your direct partner to keep things simple and shippable
Own reliability for the systems you ship what was episodic project work last year is now a steady operating load
Collaborate directly with our investment team on what to build next
Who were looking for
2-5 years of hands-on coding experience CS degree or equivalent
Real backend and database experience youve designed schemas written non-trivial queries and shipped infrastructure that real users depend on
Solid fundamentals: you can read write and debug real code across at least one mainstream language (Python or TypeScript ideal)
Comfortable with APIs cloud infrastructure (GCP a plus) and stitching systems together
Fluent with AI coding tools Claude Code Cursor Codex or similar and noticeably faster with them than without
Strong written English and async communication
High agency: you can take a vague idea and turn it into a working thing without needing the spec written for you
AI Systems EngineerSourcing Location: South America but happy to welcome candidates that are within -5H of UK timeWorking Hours: 9AM - 5PM UK TimeCompensation: $2000 - $2500We are a venture capital fund investing in early stage gaming and AI startups. Weve built our own internal AI systems to run th...
AI Systems Engineer
Sourcing Location: South America but happy to welcome candidates that are within -5H of UK time Working Hours: 9AM - 5PM UK Time Compensation: $2000 - $2500
We are a venture capital fund investing in early stage gaming and AI startups. Weve built our own internal AI systems to run the firm and we need someone to help us build more of it faster.
The role
Youll work directly with our AI & Data Operations lead on the systems that power how our team operates day-to-day. Internal tools integrations LLM-powered workflows and the backend infrastructure underneath all of it practical work that gets used immediately and has to hold up over time. The goal isnt extra engineering capacity its expanding what our internal AI layer can carry.
What youll actually do
Build and maintain the backend infrastructure behind our internal AI systems
Design and manage the databases that power our workflows
Build internal tools and services that make our investment team faster
Wire up LLMs into real workflows investment diligence meeting prep CRM enrichment research
Pair with your direct partner to keep things simple and shippable
Own reliability for the systems you ship what was episodic project work last year is now a steady operating load
Collaborate directly with our investment team on what to build next
Who were looking for
2-5 years of hands-on coding experience CS degree or equivalent
Real backend and database experience youve designed schemas written non-trivial queries and shipped infrastructure that real users depend on
Solid fundamentals: you can read write and debug real code across at least one mainstream language (Python or TypeScript ideal)
Comfortable with APIs cloud infrastructure (GCP a plus) and stitching systems together
Fluent with AI coding tools Claude Code Cursor Codex or similar and noticeably faster with them than without
Strong written English and async communication
High agency: you can take a vague idea and turn it into a working thing without needing the spec written for you