Context Engineer
Owns what the model knows: knowledge pipelines, memory, and context that fits and matters.
Designs how information reaches the model, document ingestion, knowledge modeling, chunking, memory systems, and context-window strategy, so answers are grounded in your truth.
WHAT THE MODEL KNOWS, BY DESIGN
WHAT THEY OWN
Concrete deliverables, not job-description poetry.
01
Knowledge ingestion pipelines
Messy PDFs, wikis, tickets, and databases turned into clean, queryable knowledge.
02
Context-window strategy
What goes in the prompt, in what order, at what cost, by design, not accident.
03
Memory architectures
Session, user, and org-level memory that makes assistants feel competent.
04
Domain knowledge modeling
Taxonomies and metadata that make retrieval precise, not lucky.
05
Freshness & sync pipelines
Knowledge that updates when your business does.
06
Context evals
Measures for 'did the model see what it needed?', before users find out.
PRICING
Pick the level, keep the senior oversight.
Junior
$2,100 /month
or $13/hr on Time & Material
AI-native from day one
Mid-Level
MOST HIRED$3,100 /month
or $19/hr on Time & Material
Independent feature ownership
Senior
$4,200 /month
or $26/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 assistant doesn't know things your company definitely knows
Answers cite stale documents with total confidence
Context windows are stuffed, expensive, and still missing the point
BY END OF WEEK ONE
Audited what your model actually sees per request
Fixed the worst ingestion or chunking failure
Cut context tokens while raising answer quality
Proposed a knowledge freshness pipeline
OUTCOMES YOU CAN MEASURE
Assistants that know your business cold
Smaller prompts, better answers, lower cost
Knowledge that stays current automatically
Retrieval precision you can measure
PAIRS WELL WITH