
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.
🔥 5 minutes ago
🇺🇸 United States – Remote
💵 $104.1k - $177.6k / year
⏰ Full Time
🟡 Mid-level
🟠 Senior
🤖 AI Engineer
🦅 H1B Visa Sponsor
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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.
• Build tracing across the platform's gateway, orchestration, memory, and tool layers • Correlate actions across agents in multi-agent workflows, including handoffs, parallel branches, and retries • Build developer-facing trace views and human-readable explanation layers • Build customer-facing explanation records, confidence and provenance metadata, and summaries of what agents relied on • Partner with product engineers on the Document Request Agent and MLM agents • Evaluate, integrate, and extend open-source observability, tracing, and evaluation frameworks • Build and maintain evaluation tooling including golden dataset management, test runners, scoring pipelines, and regression reporting • Run model and prompt comparisons and report changes • Build red-team and adversarial test suites for prompt injection, jailbreaks, tool misuse, and data exfiltration • Build automated tests proving tenant isolation across memory, retrieval, tool calls, and model context • Share red-team findings with Security Operations and incorporate threat models into platform tests • Participate in design discussions and code reviews • Support onboarding of L1 AI Engineer teammates and contribute to documentation • Complete assigned features and bug fixes independently, write tests, monitor issues, and document implementation decisions
• 3+ years of professional software engineering experience, delivering features independently in a production environment • Solid understanding of algorithms, data structures, and software design fundamentals • Proficiency with Git, Docker, automated testing, and modern scripting languages • Active daily use of AI-assisted development tools • Bachelor's degree in Computer Science, Software Engineering, or equivalent experience • Hands-on experience building software that integrates large language models (LLM APIs, agent frameworks, RAG pipelines, or similar) • Proficiency in Python with production experience; TypeScript a plus • Hands-on experience in LLM observability and tracing, LLM evaluation and testing, agent frameworks and multi-agent orchestration, or application security testing • Experience with distributed tracing or observability tooling in a production system • Strong automated testing instincts, including testing non-deterministic systems • Experience running workloads on Azure or AWS, including identity and access management, networking, and secrets management • Preferred: experience with OpenTelemetry, GenAI semantic conventions, OpenLLMetry, LLM observability/evaluation tools, open-source AI projects, AWS Bedrock or Azure OpenAI, multi-tenant SaaS, regulated industries, and developer-facing debugging or visualization tools • Must complete MeridianLink's background check, credit check, and drug test as part of the offer process • Must be legally authorized to work in the United States or address sponsorship requirements
• Insurance coverage (medical, dental, vision, life, and disability) • Flexible paid time off • Paid holidays • 401(k) plan with company match • Remote work
Apply Now🔥 58 minutes ago
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