AI Document Intelligence Engineer (Remote/EU)

Future First; United States; Remote; USD 120,000 - 180,000; Full time

Benefits offered by this job

Full-time engagement with either a B2B

Remote within the EU (Warsaw possible)

Job summary

Future First is seeking a role to build AI assistants that answer questions from organizational documents and to create agents with controlled write access in business systems. The work starts with assessing and preparing source material, then continues through implementation and launch readiness, focusing on reliability, uncertainty handling, cost, and client handover.

You will audit documentation, build citation-enabled search and retrieval systems, set confidence thresholds, and log actions

Qualifications

• Ability to assess and prepare business documentation for search and AI-assisted use.
• Experience building assistants or retrieval systems grounded in documents.
• Judgment about uncertainty, escalation to human operators, and access permissions.
• Ability to evaluate answer quality and operating cost before deployment.
• Careful event logging that supports investigation of individual responses.

Responsibilities

• Audit documentation for machine search and organize it when its condition prevents reliable retrieval.
• Build document search and assistants that cite the sources behind their answers.
• Set confidence thresholds and define when uncertain cases should be handed to a person.
• Create agents with appropriately scoped write access, recording the actions they take.
• Measure answer quality and per-case costs before recommending a production launch.
• Log enough information to trace how a particular response was produced.

Skills

Documentation assessment

Retrieval systems

Uncertainty judgment

Cost evaluation

Event logging

Job description

Future First is seeking a role to build AI assistants that answer questions from organizational documents and to create agents with controlled write access in business systems. The work starts with assessing and preparing source material, then continues through implementation and launch readiness, focusing on reliability, uncertainty handling, cost, and client handover.

You will audit documentation, build citation-enabled search and retrieval systems, set confidence thresholds, and log actions