AI Engineer II, AI Platform

MeridianLink

AI Engineer II designing and maintaining AI platform components enabling AI-powered features at MeridianLink. Collaborating with teams to understand integration needs and establish standards.

Posted 8/3/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSenior💰 $104,148 - $177,600 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates strong backend engineering skills with proficiency in Python, C#/.NET, Java, or Node.js, and has hands-on experience integrating large language models into production applications. Capable of contributing to AI platform design, ensuring compliance with content safety standards, and mentoring junior engineers.

Highest-signal resume keywords

Backend EngineeringPython ProgrammingLarge Language Model IntegrationAPI DevelopmentCloud-Managed AI Services

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonC#/.NETJavaNode.jsAlgorithmsData StructuresSystem DesignAsynchronous ProcessingEvent-Driven ArchitectureRetrieval-Augmented Generation

Soft Skills

MentoringCollaborationCommunication

Tools & Technologies

AWS BedrockAzure OpenAIVector DatabasesEmbedding Pipelines

Industry Keywords

AI PlatformCompliance GuardrailsData ResidencyPII HandlingFinancial Services

Tech Stack

Tools & technologies

AWSAzureCloudJavaJavaScript.NETNode.jsPython

About the role

Key responsibilities & impact

Implement AI platform components — including model serving layers, retrieval infrastructure, prompt management, and output evaluation services — under the guidance of Senior and Staff engineers
Develop and maintain APIs that product teams use to integrate AI capabilities into their applications
Build observability and monitoring into platform services to track output quality, latency, cost, and system health
Contribute to design discussions and provide input on trade-offs between simplicity, reliability, and scalability
Work with product engineering teams to understand how they want to use AI capabilities and translate requirements into platform features
Participate in technical design sessions and code reviews with product teams building on the AI platform
Help identify patterns where multiple product teams are solving the same AI integration problem and consolidate that work
Contribute to documentation, reference implementations, and runbooks that help product teams adopt AI platform services
Participate in defining and enforcing integration standards — API contracts, error handling patterns, cost attribution
Mentor junior engineers (Engineer I) and help them grow their understanding of AI systems and platform design
Implement evaluation and monitoring pipelines that give teams visibility into AI output quality and model behavior
Contribute to content safety standards and compliance guardrails appropriate for a regulated financial services environment
Help design systems that properly handle PII, maintain audit trails, and meet data residency requirements in AI pipelines

Requirements

What you’ll need

3–5 years of professional software engineering experience
Strong proficiency in backend engineering using Python, C#/.NET, Java, or Node.js
Solid understanding of algorithms, data structures, and system design principles
Hands-on experience integrating large language models or ML models into production applications
Working knowledge of retrieval-augmented generation (RAG) concepts, vector databases, and embedding pipelines
Experience building or contributing to shared services or platform components
Familiarity with cloud-managed AI services (AWS Bedrock, Azure OpenAI, or equivalent)
Experience with APIs, asynchronous processing, and event-driven architectures
Bachelor's degree in Computer Science, Software Engineering, or equivalent professional experience.

Benefits

Comp & perks

Insurance coverage (medical, dental, vision, life, and disability)
Flexible paid time off
Paid holidays
401(k) plan with company match
Remote work