Staff Software Engineer, AI

🕒 Abril 22

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $152.519 - $260.000 / ano

⏰ Tempo Integral

🔴 Especialista

🧑‍💻 Engenheiro Full-stack

🦅 Patrocina Visto H1B

Esta empresa já patrocinou vistos H1B no passado.

Candidatar-se

Encontrar Vagas Remotas Similares

Receber Emails de Vagas Remotas

📊 Verifique sua pontuação de currículo para esta vaga

Melhore suas chances de conseguir uma entrevista verificando sua pontuação de currículo antes de se candidatar.

Enviar Currículo

MeridianLink

SiteLinkedInTodas as Vagas

501 - 1000 funcionários

Fundada em 1998

💳 Fintech

🏦 Bancário

☁️ SaaS

💰 $485.000.000 Post-IPO Debt em 2021-11

Fintech • Banking • SaaS

A MeridianLink é uma fornecedora líder de soluções SaaS para instituições financeiras, especializada em sistemas de originação de empréstimos e tecnologias de transformação digital. Sua plataforma fim-a-fim melhora as experiências digitais através da integração com sistemas de gestão de empréstimos hipotecários (LOS), soluções para abertura de contas de depósito e mais. Os sistemas em nuvem da MeridianLink aprimoram a eficiência no processamento de empréstimos e cobranças, na tomada de decisões orientadas por dados e na gestão de contas. A empresa colabora com parceiros para expandir seu alcance de mercado e impulsionar o crescimento na indústria de fintech. Com mais de 25 anos de experiência, a MeridianLink é dedicada a apoiar bancos, cooperativas de crédito e outros provedores de serviços financeiros através de tecnologia e inteligência empresarial.

Descrição

• 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.

🎯 Requisitos

• 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

🏖️ Benefícios

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