ScrapeWire
Role Overview
This role involves working on ReliAgent, a tool that validates AI agent tool-call responses using nine independent detectors. The day-to-day includes developing, testing, and maintaining these detectors, handling edge cases like unsupported JSON Schema keywords, and generating structured reliability reports. The position is likely mid-level, requiring strong backend and AI/ML skills, and the hire will directly impact the reliability and trustworthiness of AI systems.
Perks & Benefits
While the description doesn't specify perks, typical remote roles offer flexible work hours, home office stipends, and health benefits. As a remote-first company, you can expect to work from anywhere with occasional async communication across time zones. Opportunities for professional growth in AI reliability and collaboration with a specialized team are likely.
Full Job Description
ReliAgent intercepts and validates AI agent tool-call responses, running nine independent detectors against each call: sycophantic gap-filling, hallucination, context degradation, repetition loops, confidence collapse, parameter drift, timeout, schema violation, and response-contract integrity. When a supplied schema relies on a JSON Schema keyword outside the supported subset, ReliAgent returns an honest partial-validation finding instead of a silent pass. Returns a structured reliability report with per-detector confidence scores and remediation guidance.Please mention the word **RICH** and tag RMmEwMTo0Zjk6YzAxMzo3ZjU5Ojox when applying to show you read the job post completely (#RMmEwMTo0Zjk6YzAxMzo3ZjU5Ojox). This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.