Senior Software Engineer, AI

🕒 May 26

🌐 United States, Canada – Remote

🇺🇸 United States – Remote 🇨🇦 Canada – Remote

💵 $185k - $225k / year

⏰ Full Time

🟠 Senior

🤖 AI Engineer

👻 Ghost score 33%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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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 backend services, APIs, and AI platform components used across multiple engineering teams • Build and integrate LLM-powered systems such as RAG pipelines, AI SDKs, evaluation workflows, guardrails, prompt/tool orchestration, and model observability • Improve the reliability, scalability, observability, and operational quality of production AI systems • Build internal tools, frameworks, automation, and documentation that improve developer productivity and AI capabilities • Participate in code reviews, design reviews, debugging, incident response, and operational support • Contribute to technical design for complex projects, including evaluating tradeoffs and proposing pragmatic implementation plans • Partner with product, design, and engineering teams to translate platform needs into well-designed technical solutions • Help identify and reduce technical debt, reliability risks, and friction in the software development lifecycle • Collaborate with Staff and senior engineers to establish reusable patterns and raise engineering standards • Use agentic coding tools and LLM-assisted development as a primary part of your workflow — this is how the entire team operates • Critically evaluate AI-generated code for correctness, edge cases, and regressions — shipping quality output regardless of how it was produced • Contribute to the team's evolving practices around AI-accelerated development and testing

🎯 Requirements

• 5+ years of experience designing, building, and operating production software systems • Strong backend engineering experience with Python frameworks such as FastAPI, Flask, or Django • Experience building or integrating AI/LLM-powered systems in production - such as RAG pipelines, AI SDKs, evaluation workflows, guardrails, or agentic workflows • Experience with relational/NoSQL databases, including schema design, query optimization, and data modeling • Experience with cloud-native technologies such as AWS, Docker, and Kubernetes • Strong understanding of CI/CD, observability, and operating services in production • Ability to break down complex technical problems and deliver pragmatic, maintainable solutions • Strong ownership mindset, with the ability to drive projects independently while collaborating effectively • Clear communication skills and the ability to explain technical tradeoffs to engineering and cross-functional partners • Hands-on experience with AI-native development tools (e.g., Cursor, Augment); demonstrated ability to embed AI-driven practices to accelerate velocity and code quality • Ability to critically evaluate AI-generated code and outputs, including identifying failure modes, regressions, and edge cases

🏖️ 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