Location:
Ho Chi Minh City, Vietnam
Type:
Full-time
Reporting line:
Technical Product Manager
About us
We're an AI-first builder giving underdog companies a new lease of life with AI. We are launched out of
Chicago Atlantic
, a $3B AUM private credit/debt firm with a top tier fund performance record and deep expertise in AI roll-ups and restructurings. We've spent years inside the deals, and we've seen exactly how much value AI can create for smaller companies that lack the capabilities to compete with larger companies. Now we're building the AI systems to change that: an AI-obsessed team applying frontier
AI engineering to the workflows that finance, banking, and restructuring actually run on.
We're small (a ringfenced AI team of 35 and growing), we ship, and we sit close to real capital and real operators. That's the difference between AI that demos well and AI that changes how the work gets done.
Chicago Atlantic:
[protected info]
Our Opensource Private Credit Monitor:
[protected info]
The role
Your users are engineers: the FDEs and customer engineers who depend on your work every day. We focus on building products that can run in any runtime. A skill that works for one client shouldn't have to be forked to reach the next, and your job is to make sure it isn't. This is a highly technical role, without expectations of forward deployment.
Build runtimes where we need them, and fill in the missing plugins and components on existing ones
Maintain the plugin infra and the tools FDEs and customer engineers use to ship client changes on their own
Be on call for urgent (P0) issues that block the business
What you might work on
Productizing a workflow an FDE built for one client into a product the next client installs
Packaging skills and tools as plugins that run in any runtime
Skills management: one versioned, tested library, with no forks or drift
Evals on every change, so a skill update never breaks a client
Shaping how skills, memory and tools work together
What success looks like
FDEs and customer engineers ship client changes without waiting on an AI engineer
Where an existing runtime or tool fits, we use it, and you only build what's missing
How we work An entrepreneurial environment: you own your work and make decisions under ambiguity. We move fast and expect fast, proactive communication. You'll spend significant time each week (3 to 4 hours) on calls with US stakeholders, and your office hours are adjusted to match.
Who you are
Experience with AI/ML, including running AI agents in production
You understand that agents are platform agnostic: they run anywhere and everywhere
Advanced proficiency in Python and/or TypeScript
Comfortable with git-based release flows, CI, and environment and configuration management
Experience running multi-client systems off one codebase, or building internal tooling other engineers depend on
Professional working English, comfortable communicating technical decisions to international teams and stakeholders
Why you'll love working here
Building AI-native companies
Competitive package, private health care, 19 annual leave days
Hybrid working model
Hiring process
Apply: send your CV
Intro call (30 min): cover your background and the role; you decide if it's worth going deeper
Technical interview: a task covering the skills you'll need to succeed
Final interview and offer
Send your CV to
[protected info]