Senior Software Engineer, AI Platform

🕒 Setembro 10

🌐 Estados Unidos, Canadá – Remoto

🇺🇸 Estados Unidos – Remoto (EUA) 🇨🇦 Canadá – Remoto

💵 $175.000 - $220.000 / ano

⏰ Tempo Integral

🟠 Sênior

🤖 Engenheiro de IA

👻 Score fantasma 0%

O que significa: quão provável esta vaga está aberta sem contratação ativa.Como ler: 60% ou mais significa que achamos que é uma vaga fantasma. Pontuações mais baixas preocupam menos.Como pontuamos: tempo em aberto, republicações, vagas abertas vs tamanho do time, rapidez para fechar vagas, e se o salário está divulgado.Observação: é uma estimativa de dados públicos, não um julgamento da empresa. Vagas reais podem ter pontuação alta, então use como uma dica, não como um fato.

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Juniper Square

SiteLinkedInTodas as Vagas

201 - 500 funcionários

💸 Finanças

🏠 Imobiliário

☁️ SaaS

💰 $75.000.000 Series C em 2019-11

Finance • Real Estate • SaaS

A Juniper Square é uma empresa que oferece uma plataforma abrangente e soluções personalizadas para parcerias de investimento privado. Fundada em 2014, a empresa se concentra em possibilitar uma conexão e comunicação contínua entre General Partners (GPs) e Limited Partners (LPs) ao longo de todo o ciclo de vida do investimento. A tecnologia da Juniper Square é feita sob medida para apoiar empresas de imóveis comerciais, private equity e capital de risco de todos os tamanhos. A plataforma oferece serviços como administração de fundos, captação de recursos, gestão de investidores, compliance e relatórios para investidores, todos destinados a aprimorar a transparência, a governança de dados e a experiência geral do investidor.

Descrição

• Design, build, and ship production-quality systems, APIs, and services for platform capabilities and customer-facing experiences • Own projects end-to-end, including technical design, implementation, testing, deployment, and iteration • Build reliable, scalable, and observable systems that deliver customer value and enable engineering teams • Own production health through monitoring, troubleshooting, performance, reliability, and issue resolution • Build reusable infrastructure, frameworks, tooling, and developer experiences • Improve engineering velocity and operational quality through automation, documentation, and continuous improvements • Contribute technical designs for complex projects, evaluate tradeoffs, and propose pragmatic implementation plans • Partner with product, design, QA, and engineering on technical solutions and delivery • Identify and reduce technical debt, reliability risks, and software-development friction • Establish reusable patterns and raise engineering standards with Staff and senior engineers • Participate in code reviews, design reviews, debugging, incident response, and operational support • Use agentic coding tools and AI-assisted development as a primary workflow • Evaluate AI-generated code for correctness, edge cases, and regressions • Build or integrate AI/LLM-powered capabilities, including evaluation frameworks, RAG pipelines, and agentic workflows • Contribute to AI-accelerated development, testing, and code-review practices • Provide technical context to technical and non-technical stakeholders • Grow as a subject-matter expert in relevant data, workflows, and customer needs

🎯 Requisitos

• 7+ years of experience in backend and/or full-stack software engineering • Strong backend engineering experience with Python and frameworks such as FastAPI, Flask, Pyramid, or Django • Experience with relational/NoSQL databases, including schema design, query optimization, and data modeling • Experience with cloud-native technologies such as AWS, Docker, and Kubernetes, and infrastructure as code • Strong understanding of CI/CD, observability, and operating services in production • Comfort working full-stack when the problem calls for it; TypeScript/React experience is a plus • Ability to break down complex technical problems and deliver pragmatic, maintainable solutions • Strong ownership mindset and ability to drive projects independently while collaborating effectively across teams • Clear communication skills and ability to explain technical tradeoffs to engineering and cross-functional partners • Hands-on experience with AI-native development tools such as Cursor or Augment • Demonstrated AI Fluency, including judgment about when AI is and is not the right tool, adapted code review practices for AI-generated code, and safeguards against over-reliance on AI tooling • Bachelor's degree in Computer Science or equivalent work experience • Hands-on experience building or integrating AI/LLM-powered systems in production, such as RAG pipelines, agent frameworks, evaluation workflows, guardrails, prompt/tool orchestration, or model observability • Comfort operating in ambiguous, fast-evolving technical territory • Background in financial services or fintech is nice to have • Experience with API gateway/infrastructure, security and governance tooling, retrieval and data-access systems, or agent frameworks at production scale is nice to have

🏖️ Benefícios

• Health, dental, and vision care for you and your family • Life insurance • Mental wellness coverage • Fertility and growing family support • Flex Time Off in addition to company-paid holidays • Paid family leave, medical leave, and bereavement leave policies • Retirement saving plans • Allowance to customize your work and technology setup at home • Annual professional development stipend • Equity