AI Application Engineer
Full-stack product engineering for AI features users actually love using.
Builds the product around the model, streaming UIs, copilots, optimistic states, latency masking, and the unglamorous full-stack work that makes AI feel instant and trustworthy.
AI THAT FEELS INSTANT
WHAT THEY OWN
Concrete deliverables, not job-description poetry.
01
AI product interfaces
Chat, copilot, and generative UI patterns built for trust and speed.
02
Streaming & latency masking
Token streaming, optimistic UI, and skeletons that make slow models feel fast.
03
Full-stack feature delivery
Frontend, API, and data layer shipped as one coherent feature.
04
Feedback capture
Thumbs, edits, and implicit signals wired into your eval loop.
05
Graceful degradation
What users see when the model fails, designed, not discovered.
06
Production polish
Auth, billing hooks, rate limits, and the details that make it sellable.
PRICING
Pick the level, keep the senior oversight.
Junior
$2,200 /month
or $14/hr on Time & Material
AI-native from day one
Mid-Level
MOST HIRED$3,300 /month
or $21/hr on Time & Material
Independent feature ownership
Senior
$4,400 /month
or $28/hr on Time & Material
Architecture & judgment
Dedicated engineers are billed monthly; Time & Material is billed hourly on tracked actuals. The free trial week applies to every dedicated hire.
YOU NEED THIS ROLE IF
Your model is good but the product experience feels like a science fair
AI features ship without feedback capture, so they never improve
Frontend and ML teams keep throwing work over a wall
BY END OF WEEK ONE
Shipped a streaming UI for one AI feature
Cut perceived latency without touching the model
Wired user feedback into a usable dataset
Fixed the ugliest failure state in the flow
OUTCOMES YOU CAN MEASURE
AI features with real adoption curves
Perceived latency users stop noticing
A feedback flywheel your LLM engineer can use
One team shipping model-to-pixel
PAIRS WELL WITH