AI Platform Trust & Explainability Engineer II

Openkrill; United States; Remote; USD 120,000 - 160,000; Full time

Job summary

MeridianLink's AI Platform team is seeking an AI Engineer II to build the trust and explainability layer of the runtime that powers multi-agent workflows used by lenders and borrowers. You will implement tracing across conversations, extend open-source explainability frameworks, and align threat models with product needs.

This deeply technical role requires hands-on experience with LLM-based systems, strong collaboration with Security Operations, and a passion for making AI decisions transparent

Responsibilities

• Completes assigned features and bug fixes independently, with limited need for day-to-day guidance
• Designs components within a well-defined scope; escalates questions on complex system design rather than guessing
• Participates in code review and provides constructive feedback
• Surfaces blockers proactively rather than waiting for check-ins
• Writes tests that cover the functionality they ship
• Monitors and responds to issues with their own work
• Documents decisions and implementation details that others will need later
• Understands how to instrument an agent so a single conversation can be followed from the first user message through every model call, tool call, retrieval, agent handoff, and decision to the final response
• Builds the correlation that ties actions across multiple agents in one workflow into a single readable trace
• Turns raw trace data into an explanation a human can follow: what the agent did, what it relied on, and why it chose that path
• Understands that the explanation an engineer needs and the explanation a borrower or loan officer needs are different, and builds for both
• Works with product engineers on what an agent should disclose at the product surface: what it did, what data it used, how confident it was, and what a human should verify
• Applies judgment about the right level of explanation for a regulated lending and account-opening context
• Familiar with the open-source landscape for LLM observability, tracing, and evaluation, and can evaluate a framework against the platform's needs
• Integrates and extends existing frameworks rather than rebuilding them, and builds what does not exist yet
• Keeps the platform's instrumentation aligned to emerging standards so traces stay portable across tools
• Understands how to measure the quality of non-deterministic output: golden datasets, rubric and LLM-as-judge scoring, and regression baselines
• Builds evaluation checks that run in CI so a model swap, prompt change, or tool change is tested before it reaches customers
• Treats evaluation data as versioned, reviewed code
• Knows the common attack patterns against LLM applications (prompt injection, jailbreaks, tool misuse, data exfiltration) and how to write tests for them
• Understands tenant isolation as a platform guarantee and builds tests that prove one customer's agent can never see another customer's data
• Contributes to the shared guardrail layer so every agent inherits protection without re-implementing it
• Participate in design

Job description

MeridianLink's AI Platform team is seeking an AI Engineer II to build the trust and explainability layer of the runtime that powers multi-agent workflows used by lenders and borrowers. You will implement tracing across conversations, extend open-source explainability frameworks, and align threat models with product needs.

This deeply technical role requires hands-on experience with LLM-based systems, strong collaboration with Security Operations, and a passion for making AI decisions transparent