Senior Software Engineer, AI Platform

🔥 14 hours ago

🌐 United States, Canada – Remote

🇺🇸 United States – Remote 🇨🇦 Canada – Remote

💵 $175k - $220k / year

⏰ Full Time

🟠 Senior

🤖 AI Engineer

👻 Ghost score 0%

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Juniper Square

WebsiteLinkedInAll Job Openings

201 - 500 employees

💸 Finance

🏠 Real Estate

☁️ SaaS

💰 $75M Series C on 2019-11

Finance • Real Estate • SaaS

Juniper Square is a company that provides a comprehensive platform and solutions tailored for private investment partnerships. Founded in 2014, the company focuses on enabling seamless connection and communication between General Partners (GPs) and Limited Partners (LPs) throughout the entire investment lifecycle. Juniper Square's technology is purpose-built to support commercial real estate, private equity, and venture capital firms of all sizes. The platform offers services such as fund administration, fundraising, investor management, compliance, and investor reporting, all aimed at enhancing transparency, data governance, and the overall investor experience.

📋 Description

• 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

🎯 Requirements

• 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

🏖️ Benefits

• 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