Vị trí Sr AI Engineer - Product tại MeridianLink

Tổng quan vị trí

Vị trí Sr AI Engineer - Product tại MeridianLink, dựa trên tin tuyển dụng chính thức đang mở. Vai trò đóng góp vào việc bàn giao kỹ thuật đáng tin cậy.

Trách nhiệm

• Thiết kế, triển khai và vận hành phần mềm, AI, nền tảng hoặc hệ thống an toàn phù hợp với vai trò.
• Phối hợp với các nhóm kỹ thuật, sản phẩm và khách hàng trong quá trình lập kế hoạch, đánh giá và bàn giao.
• Xử lý sự cố, ghi chép quyết định và cải thiện độ tin cậy, bảo mật và chất lượng.

Yêu cầu

• Kinh nghiệm chuyên môn phù hợp về phần mềm, AI, dữ liệu, nền tảng, SRE hoặc an toàn.
• Kỹ năng kỹ thuật, giải quyết vấn đề và giao tiếp tốt.
• Có khả năng cộng tác hiệu quả với các nhóm phân tán và đáp ứng yêu cầu khu vực được nêu.

Công nghệ trong công việc

• TypeScript: Build across our TypeScript stack: React 19, React Router 7, Tailwind CSS, Hono, and Drizzle/Postgres, with AWS infrastructure managed through SST/Pulumi across Lambda, SQS, EventBridge, and .
• React: Build across our TypeScript stack: React 19, React Router 7, Tailwind CSS, Hono, and Drizzle/Postgres, with AWS infrastructure managed through SST/Pulumi across Lambda, SQS, EventBridge, and .
• AWS: Build across our TypeScript stack: React 19, React Router 7, Tailwind CSS, Hono, and Drizzle/Postgres, with AWS infrastructure managed through SST/Pulumi across Lambda, SQS, EventBridge, and .
• Terraform: Experience with Terraform, AWS CDK, or similar infrastructure-as-code tools transfers .
• Playwright: We use Bun, Vitest, and Playwright for development and .

Hướng dẫn đánh giá mức độ phù hợp (tiếng Anh)

Phân tích dựa trên yêu cầu và trách nhiệm trong tin tuyển dụng của nhà tuyển dụng.

Understanding the scope. This Sr AI Engineer - Product 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: “Sr AI Engineer - Product at MeridianLink, based on the employer's live official posting. This role contributes to reliable technical delivery.” 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, implement and operate production software, AI, platform or trust and safety systems for the role.”; “Collaborate with engineering, product and customer teams through planning, review and delivery.”; “Troubleshoot issues, document decisions and improve reliability, security and quality.”. 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 “Relevant professional experience in software, AI, data, platform, SRE or trust and safety engineering.”; “Strong technical, problem-solving and communication skills.”; “Ability to work effectively with distributed teams and.

Phúc lợi

• Xem tin chính thức để biết phúc lợi và điều kiện việc làm hiện hành.

Về 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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