Information Extraction Engineer

🕒 October 1

⚔️ Virginia – Remote

⚔️ Virginia – Remote

💵 $130k - $160k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

👷🏻‍♀️ Engineer

👻 Ghost score 2%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Defcon AI

WebsiteLinkedInAll Job Openings

11 - 50 employees

🤖 Artificial Intelligence

🚗 Transport

📦 Logistics

Artificial Intelligence • Transport • Logistics

Defcon AI is a company focused on transforming logistics and supply chain operations using AI-driven technologies. The company addresses disruptions caused by natural disasters, unanticipated events, and opponents through sophisticated software modeling and intelligent agents. Defcon AI aims to integrate next-generation technologies within logistics and decision-making processes to improve response planning in complex and contested environments. Positioned at the convergence of AI, mobility, and logistics, Defcon AI collaborates with partners to provide efficient, reliable, and data-driven solutions tailored to specific needs. The company is committed to enhancing resilience and efficiency in the logistics sector.

📋 Description

• Extract structured facts from long, free-text, narrative, and semi-structured documents • Maintain a traceable pointer from every extracted fact back to the exact source passage it came from • Validate that every cited passage actually supports the extracted fact, and treat a missing or unsupported citation as a defect • Distinguish a stated total from a derived sum in financial narratives, retaining the contributing items and the calculation for verification • Consume the recorded rule context supplied to model-assisted extraction, keeping cited facts and uncertainty separate from any validity decision • Apply and extend the team’s established extraction approach consistently across new document types • Handle ambiguous, contradictory, or incomplete source text without forcing a single reading; flag it rather than guessing • Work with entity resolution and retrieval teammates on what a usable extracted fact needs to carry downstream • Deliver facts extracted at volume with every claim traceable to its source passage • Sustain throughput across new document types without re-deriving the approach for each one

🎯 Requirements

• 3+ years extracting structured facts or data from unstructured, narrative text in a production setting • Experience keeping extracted output traceable to its source • Strong Python, with hands-on NLP or information-extraction tooling, whether rule-based, statistical, or LLM-based • US Citizenship Required • Active US Secret clearance • Preferred: Extraction experience in a government, investigative, legal, financial-crime, or intelligence-adjacent setting • Preferred: LLM-based extraction with structured output schemas and validation against source text • Preferred: Experience where extracted facts fed a downstream matching, scoring, or retrieval system • Preferred: Active Top Secret clearance

🏖️ Benefits

• A fully remote, results-based environment • Competitive salary, bonus, and equity package • 100% employer paid, comprehensive health insurance including medical, dental, and vision for you and your family • Unlimited PTO, with your manager’s approval • Flexible work environment where you manage your work day • 14 weeks of fully-paid parental leave

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