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NEXTMOVEFDE careers · United States
Meridian Link

Staff Software Engineer ( AI )

AI summary of the role

This Staff Software Engineer role owns the technical direction and architecture for MeridianLink's AI platform, building foundational infrastructure to power customer-facing AI capabilities across credit union software products.

What you’ll do

  • Own the reference architecture for the AI platform, including API abstractions, RAG infrastructure, vector retrieval, evaluation harnesses, and model serving.
  • Lead build-vs-buy evaluations for AI components and design foundational data pipelines for scalable AI services.
  • Contribute hands-on backend development in Python and RESTful APIs, and full-stack delivery using React/TypeScript/Vite.
  • Implement LLM integrations, evaluation frameworks, and observability for AI services.

What you’ll bring

  • 8+ years in professional software engineering with cross-team architectural influence.
  • Proven end-to-end delivery of AI-powered features from concept to production.
  • Strong proficiency in Python and RESTful API development (FastAPI, Django).
  • Hands-on integration with third-party LLM/AI APIs and GenAI experience (RAG pipelines, prompt management, LLM evaluation).

Technologies

Python · FastAPI · Django · React · TypeScript · AWS · Kubernetes · Terraform · Pulumi · Pinecone · pgvector · OpenSearch

Source and classification

Internal deployment & tooling · Evidence for this classification:

As a senior individual contributor and one of the highest-ranking technical voices in our engineering organization, the Staff Software Engineer (Professional 5) plays a pivotal role in shaping our AI platform strategy. This role, part of the Platform Services team, is dedicated to designing and building foundational infrastructure to power MeridianLink’s expanding suite of customer-facing AI capabilities across our credit union software product lines. Rather than focusing solely on implementation, the Staff Engineer acts at the intersection of architecture, strategy, and hands-on technical delivery. You’ll own the technical direction for AI platform systems, establish standards and patterns, and lay the architectural groundwork to enable reliable, scalable, and responsible AI development. This engineer will report directly to the Director of Platform Services and exert significant
More from the job description

As a senior individual contributor and one of the highest-ranking technical voices in our engineering organization, the Staff Software Engineer (Professional 5) plays a pivotal role in shaping our AI platform strategy. This role, part of the Platform Services team, is dedicated to designing and building foundational infrastructure to power MeridianLink’s expanding suite of customer-facing AI capabilities across our credit union software product lines. Rather than focusing solely on implementation, the Staff Engineer acts at the intersection of architecture, strategy, and hands-on technical delivery. You’ll own the technical direction for AI platform systems, establish standards and patterns, and lay the architectural groundwork to enable reliable, scalable, and responsible AI development. This engineer will report directly to the Director of Platform Services and exert significant cross-functional influence across multiple engineering teams. As our AI platform matures—from third-party LLM integrations toward custom model development—your responsibilities will evolve, giving you increasing ownership over our model infrastructure, evaluation harnesses, and data pipelines needed to support production-grade AI in a regulated financial environment. This fully remote position works within a sub-team in Platform Services, responsible for building and scaling MeridianLink’s first ge [... source excerpt omitted ...] osely partners with application engineering, cloud infrastructure, and applied AI, creating technological foundations vital for delivering intelligent features to our credit union clients. Key Competencies Technical Mastery & Architecture: Define multi-team strategy, address architectural bottlenecks, and evaluate build vs. buy decisions across the platform. Architect scalable AI systems with security, compliance, and developer experience at the core. Organizational Influence: Lead cross-team architecture reviews, drive collaborative alignment, establish engineering best practices, and set the bar for design reviews and production readiness. AI & GenAI Platform Expertise: L [... source excerpt omitted ...] excellence. Stakeholder Engagement: Author clear, auditable architectural documentation; translate technical concepts for business partners; and partner with Product on business requirements and roadmaps. Expected Duties Architectural Leadership 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

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