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MeridianLink

Connecting You to Better: MeridianLink is the developer of the industry's first multi-channel loan origination system.

Staff Software Engineer, AI

Full-stack EngineerSoftware EngineerFull TimeRemoteLeadTeam 501-1,000Since 1998H1B SponsorCompany SiteLinkedIn

Location

United States

Posted

91 days ago

Salary

$152.5K - $260K / year

Seniority

Lead

Job Description

Staff Software Engineer, AI

MeridianLink

• Own the reference architecture for the AI platform, encompassing API abstractions, prompt and version management, RAG infrastructure, vector retrieval, evaluation harnesses, and model serving. • Lead build-vs-buy evaluations for AI components, including due diligence and integration planning. • Design foundational data pipelines and infrastructure to support reliable, scalable AI services. • Define and document API contracts, standards, and platform interfaces across engineering. • Contribute to backend development in Python and RESTful API design, including integrations with leading AI providers. • Participate in full-stack delivery when needed, using React/TypeScript/Vite to deliver AI features. • Build and maintain tooling, SDKs, and platform APIs to enable safe, scalable AI adoption by product teams. • Drive improvements to AI-assisted development workflows with tools like GitHub Copilot and Claude. • Implement integrations with LLMs: context management, prompt templating, response validation, and robust fallback strategies. • Build and maintain evaluation frameworks for reproducible model testing. • Establish observability and performance tracking for AI services. • Participate in designing vector-based retrieval and model serving infrastructure as custom model capabilities become a focus. • Advise and collaborate with Security through architecture and design phases, ensuring compliance and security standards are met. • Apply secure-by-default principles (encryption, least privilege, audit logging) and stay current with financial data governance and privacy standards. • Collaborate with Product to translate business needs into technical designs and specifications, while contributing a strong architectural perspective. • Support AI platform roadmap development with product leadership. • Engage in companywide architectural forums and workgroups to drive engineering standards. • Partner with Data Engineering, DevOps/SRE, and Security to ensure aligned technical foundations. • Mentor L3–L4 engineers through code reviews, design sessions, and architectural guidance. • Promote engineering excellence, robust documentation, and reusable internal resources.

Job Requirements

  • 8+ years in professional software engineering, with demonstrated cross-team architectural influence
  • Proven end-to-end delivery of AI-powered features, from product concepts to production
  • Experience leading large, complex technical initiatives
  • Strong proficiency in Python and RESTful API development (FastAPI, Django)
  • Knowledge of full-stack development (React, TypeScript)
  • Hands-on integration with third-party LLM/AI APIs
  • Experience with AWS (preferred), including IAM, networking, managed services, and storage
  • Solid foundation in distributed systems, API design, cloud-native architecture
  • Comfortable with CI/CD pipelines, version control, Docker, and AI-assisted development tools
  • Demonstrated ability to author durable technical proposals (RFCs, ADRs)
  • Clear communicator with technical and non-technical stakeholders
  • GenAI experience (e.g., RAG pipelines, prompt management, LLM evaluation, agent frameworks)
  • Familiarity with vector databases/semantic search (Pinecone, pgvector, OpenSearch)
  • Exposure to model serving, MLOps/LLMOps practices, and model lifecycle/deployment tools
  • Experience building developer platforms, SDKs, and self-service engineering tooling
  • Experience with IaC tools (Terraform/Pulumi), Kubernetes, and observability tools (Prometheus, Grafana, Datadog)
  • Leadership in technical communities, mentoring, and architectural standards
  • Bachelor’s in Computer Science, Software Engineering, or equivalent experience

Benefits

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

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