Senior Software Engineer (AI) at MeridianLink

Role overview

This Senior Software Engineer is a senior technical contributor responsible for delivering scalable, maintainable, and reliable software solutions while helping guide technical implementation across the team. This role combines hands-on engineering with mentorship, technical leadership, and collaboration across product and platform initiatives.

Responsibilities

• Design, build or operate software and workflows for AI software engineering.
• Collaborate with product, engineering, customer and operations stakeholders.
• Improve reliability, performance, testing, automation and documentation.
• Translate technical and customer requirements into maintainable systems.

Qualifications

• 5+ years of software engineering experience
• Deep knowledge of C#, .NET, .NET Core and modern application frameworks
• Experience with React.js, TypeScript/JavaScript, SQL, and APIs
• Strong backend and frontend engineering experience
• Experience with cloud-native application development
• Experience with AI development tools and methodologies
• Strong understanding of APIs, distributed systems, and CI/CD
• Ability to independently lead complex technical initiatives
• We value engineers who enjoy building, improving, and simplifying systems. This role provides the opportunity to work across product, platform, and engineering initiatives that directly influence customer experience and business outcomes.
• Success in this role is measured through technical contribution, collaboration, engineering quality, operational reliability, and the ability to positively influence team effectiveness and software delivery outcomes.

Technology in this role

• JavaScript: JavaScript TypeScript C# .NET React .
• TypeScript: JavaScript TypeScript C# .NET React .
• C#: JavaScript TypeScript C# .NET React .
• .NET: JavaScript TypeScript C# .NET React .
• React: JavaScript TypeScript C# .NET React .
• SQL: JavaScript TypeScript C# .NET React .
• C: JavaScript TypeScript C# .NET React .
• CI/CD: 5+ years of software engineering experience Deep knowledge of C#, .NET, .NET Core and modern application frameworks Experience with React.js, TypeScript/JavaScript, SQL, and APIs Strong backend and frontend engineering experience Experience with cloud-native application .

Role-specific candidate guide

Preparation notes based on the employer’s stated responsibilities and qualifications.

Understanding the scope. This Sr. Software Engineer (AI) position at MeridianLink is best assessed through the work described in the employer’s posting, rather than the title alone. The available role overview says: “This Senior Software Engineer is a senior technical contributor responsible for delivering scalable, maintainable, and reliable software solutions while helping guide technical implementation across the team. This role…” Read that statement together with the responsibilities below to understand the likely balance between delivery, coordination and technical decision-making. The role belongs to the AI and data area, but that label is only a guide to the work; the employer’s own requirements remain decisive. Before applying, check the original listing for reporting lines, product or team assignment, employment terms and any details that may have changed since this copy was checked. Where this page says a fact is not specified, treat it as an open question rather than an implied promise.

What the responsibilities signal. The posting specifically names “Design, build or operate software and workflows for AI software engineering.”; “Collaborate with product, engineering, customer and operations stakeholders.”; “Improve reliability, performance, testing, automation and documentation.”. For each duty, identify a project where you performed comparable work and be ready to describe the context, your own contribution, constraints, decisions, and measurable result. Explain how you moved from the initial need to implementation, review, release or operational follow-through, where those stages apply. If the work involved other teams or users, distinguish your decisions from the group’s contribution. Avoid presenting a technology keyword as proof by itself: connect it to the problem you solved, the scale or complexity involved, and what changed after your work. The source may contain additional duties; review it directly before preparing your application.

How to read the requirements. The listed qualifications include “5+ years of software engineering experience”; “Deep knowledge of C#, .NET, .NET Core and modern application frameworks”; “Experience with React.js, TypeScript/JavaScript, SQL, and APIs”. Mark each requirement as demonstrated, adjacent.

Benefits

• US-remote arrangement as stated in the official posting.
• Opportunity to work on AI and enterprise technology products.

About MeridianLink

This is a deeply technical, hands-on engineering role and an integral part of the platform itself. You will write the code that traces agent actions across a multi-agent workflow, adopt and extend leading open-source explainability and observability frameworks, and build the primitives product teams use to surface explanations to lenders, credit unions, and their borrowers. You should have real hands-on experience with LLM-based systems and a strong pull toward the problems of trust, tracing, and evaluation. You do not need to be an expert in all of it. This is a place to build that expertise while the platform is being built, working alongside a Staff engineer team lead and architects who will invest in your growth.

What it means to be an L2 AI Engineer at MeridianLink

L2 AI Engineers handle a broad range of work independently, from bug fixes to feature development. They have developed a specialization and are deepening it. They write code that other engineers trust, ask good questions, and are starting to help the engineers around them. L2 AI Engineers at MeridianLink are active, daily users of AI-assisted development tools.

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

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