Translate briefs into working AI features, selecting the right model and implementation approach for the use case
Test inputs and outputs before shipping
Ship AI features into the real product
Monitor and evaluate AI feature performance in production
Dig into real inputs and outputs to find where prompts or implementations can be better
Keep every AI feature across the platform accurate and reliable over time
Build the evaluation coverage that catches regressions before users do
Refine prompts and implementations based on how features actually behave in the wild
Research evaluation and implementation techniques, and bring recommendations, not just problems
Decide what good looks like and measure it systematically

You can explain technical concepts, tradeoffs, and constraints clearly in close 1-on-1 work
You take ownership of what you build and keep it working over time, rather than shipping and moving on
Strong written and verbal communication for async, cross-timezone collaboration
Hands-on experience building LLM-based features and evaluating them in production: LLM APIs, prompt engineering, handling AI outputs, iterating on real results
Shipped AI features to real users and handled the monitoring, debugging, and iteration that follows
Familiarity with LLM evaluation frameworks and tooling such as LangSmith or equivalent
Familiarity with RAG, vector databases, or similar techniques (or the fundamentals to pick them up fast)
Full-stack TypeScript/React (the role may grow to include implementation over time)
A habit of staying current with AI and judging when a new technique is actually worth adopting
Not looking for: Build-and-forget engineers who ship AI features and never check whether they're working
Not looking for: People who want to work in isolation rather than in close daily partnership
Not looking for: Candidates targeting senior architect, pure research, or team-lead roles. This is a hands-on, mid-level role

Remote-first role with a thriving Philippines-based engineering team
Annual team offsite, all expenses paid, to connect in person
Online socials with an Airwallex card for team lunches and activities
20 days PTO + Philippine public holidays (all paid)
5 days sick leave (plus discretionary extra as needed, we're humans, not machines)
Comprehensive private healthcare with family plan option
₱2,000 monthly rice allowance

AI Developer

Key skills