MeridianLink
Staff Software Engineer - AI Platform
US Remote · Staff+
Sponsorship not specifiedDetected 63 days ago
Vector DatabasesAWSAzureMachine LearningLLMsRAGAI OrchestrationA/B TestingAgileLeadershipCollaboration
About the role
- The right person for this role thinks in platforms, not features, and has strong opinions about what it means to make AI capabilities reliable, observable, and safe in a regulated industry.
- Staff engineers at MeridianLink operate across multiple teams or an entire product line.
Responsibilities
- AI Platform Discovery & Design
- Partner with product engineering teams and architects to catalog current and near-term AI use cases, identify common patterns, and define the platform services that should be centralized
- Produce technical designs - RFCs, architecture decision records, system diagrams - for AI platform components at a level of detail that other engineers can implement and review against
- Evaluate third-party AI infrastructure options (model providers, vector databases, orchestration frameworks) and make build-vs-buy recommendations with clear rationale
- Platform Build & Standards
- Lead development of core AI platform services: model serving and routing, retrieval infrastructure, prompt management, output evaluation, and usage observability
- Define and enforce integration standards - API contracts, error handling patterns, cost attribution - so that product teams building on the platform do so consistently
- Own the technical roadmap for the AI platform, prioritizing based on what unblocks the most product development and reduces the most duplicated effort
- Develop Senior engineers toward Staff-level scope; give them problems and opportunities that stretch them, not just guidance on their current work
- Partner with Engineering Managers and Product leadership to align technical decisions with delivery goals
Requirements
- 8+ years of professional software engineering experience, with demonstrated technical leadership across multiple teams or product areas
- Proven ability to make and defend architecture decisions at scale
- Bachelor's degree in Computer Science, Software Engineering, or equivalent experience
- Proficiency with cloud-managed AI services (AWS Bedrock, Azure OpenAI, or equivalent) and the operational characteristics of running AI workloads in production
- Strong understanding of retrieval-augmented generation architectures, vector search, and embedding pipeline design
- Experience designing systems in regulated industries where data handling, audit trails, and compliance constraints shape technical decisions
Nice to have
- Experience in fintech, banking, or other regulated financial services environments
- Familiarity with AI evaluation frameworks and techniques for measuring output quality and detecting model degradation
- Experience with prompt management, versioning, and experimentation at scale
- Prior work on developer-facing platforms with a focus on adoption and internal developer experience
- What Success Looks Like
Skills
- Evaluates technology choices with a clear view of trade-offs at scale, not just for the immediate problem
- Identifies systemic problems before they become incidents
- Provides day-to-day technical direction for one or more scrum teams without holding a management title
- Establishes guardrail patterns and content safety standards appropriate for a regulated financial services environment
Company info
- This role is responsible for defining and building the shared AI platform that MeridianLink's product and engineering teams use to deliver AI-powered features consistently and at scale.
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