AI Engineer II, AI Platform

🕒 August 3

🇺🇸 United States – Remote

💵 $104.1k - $177.6k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

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MeridianLink

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 1998

💳 Fintech

🏦 Banking

☁️ SaaS

💰 $485M Post-IPO Debt on 2021-11

Fintech • Banking • SaaS

MeridianLink is a leading provider of SaaS solutions for financial institutions, specializing in loan origination systems and digital transformation technologies. Their end-to-end platform enhances digital experiences through integration with mortgage LOS, deposit account opening solutions, and more. MeridianLink's cloud-based systems improve efficiency in loan processing and collections, data-driven decision-making, and account management. The company collaborates with partners to expand market reach and drive growth in the fintech industry. With over 25 years of experience, MeridianLink is dedicated to supporting banks, credit unions, and other financial service providers through technology and business intelligence.

📋 Description

• 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

• 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

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