Role overview
We're looking for someone with:
- Strong Python fundamentals and software engineering discipline
- Experience building classification and NLP systems
- LLM prompt engineering and optimisation (token efficiency, few-shot design, chain-of-thought)
- Evaluation methodology: building ground truth datasets, A/B testing, accuracy measurement
- Production ML experience: model serving, latency optimisation, monitoring
- Comfort with ambiguity and novel problem domains
Computer Science Background - with caveat. *If you don't have a CS background, you're challenged to beat one of the founders in a 1:1 whiteboard duel on DS&A judged by Hung. Neither founders have formal CS background, but come prepped.
There will be an expectation to stay up to business context, which could involve:
- Watching key customer calls
- Interacting with customers
- Helping with product thinking
What we're looking for
- Experience with hybrid ML/rule-based systems
- OCR, document understanding, or computer vision background
- Cost optimisation for LLM-heavy systems
- PyTorch or similar framework experience
- Familiarity with process mining or workflow analysis
- You've shipped ML systems that operate at scale under real constraints
- Interesting personal projects that demonstrate depth
Interview process
- Resume screen
- 1:1 with founder
- Technical deep-dive on past ML work
- Work through a real problem with the team
- Offer
We strongly encourage applicants from underrepresented backgrounds to apply. Diverse teams build better products - see value #5.
Compensation Range: $150K - $250K
Tags & focus areas
Used for matching and alerts on DevFound Fulltime Remote Ai Ai Engineer Machine Learning Robotics Generative Ai