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Staff Software Engineer, AI
MeridianLinkStaff Software Engineer shaping AI platform strategy for MeridianLink. Designing foundational infrastructure for customer-facing AI capabilities in credit union software products.
Tech Stack
Tools & technologiesAWSCloudDistributed SystemsDjangoDockerGrafanaKubernetesPrometheusPythonReactTerraformTypeScript
About the role
Key responsibilities & impact- 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.
Requirements
What you’ll need- 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
Comp & perks- Insurance coverage (medical, dental, vision, life, and disability)
- Flexible paid time off
- Paid holidays
- 401(k) plan with company match
- Remote work
ATS Keywords
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Hard Skills & Tools
PythonRESTful API developmentFastAPIDjangoReactTypeScriptAWSCI/CDDockerMLOps
Soft Skills
clear communicationmentoringarchitectural influencecollaborationleadershiptechnical proposal authoringengineering excellencecross-team collaborationproblem-solvingdocumentation
Certifications
Bachelor’s in Computer ScienceBachelor’s in Software Engineering