
201 - 500 employees
đ¸ Finance
đ Real Estate
âď¸ SaaS
đ° $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.
đĽ 3 minutes ago
đşđ¸ United States â Remote
đľ $165k - $200k / year
â° Full Time
đ Senior
đ¤ AI Engineer
đť Ghost score 0%
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201 - 500 employees
đ¸ Finance
đ Real Estate
âď¸ SaaS
đ° $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.
⢠Partner with internal stakeholders, including executives and sales, finance, HR, and marketing business units, to identify workflows where custom agents create leverage ⢠Translate ambiguous business problems into requirements, scope, and acceptance criteria ⢠Lead solutions through prototyping, stakeholder validation, hardening, deployment, production rollout, and ongoing operation ⢠Design and build agentic systems, including retrieval and context design, tool and MCP integration, orchestration, evaluation harnesses, observability, and cost controls ⢠Design event-driven, scalable systems that ingest and process large volumes of data and documents ⢠Partner with platform, R&D, and product engineering teams on work touching core systems ⢠Make engineering trade-offs that prioritize reliability, security, maintainability, and reuse ⢠Own deployed solutions through adoption, post-launch support, user-feedback iteration, and ongoing operation ⢠Produce documentation, train users, and manage rollouts to drive adoption ⢠Set the technical bar for less experienced engineers and grow toward leading projects, including client-facing work ⢠Contribute developed patterns to Applied AI's reusable component library ⢠Build and operate AI systems for Juniper Square, an operations partner providing technology, data, and fund administration services to private-markets general partners
⢠5+ years of professional experience shipping production software end to end, with hands-on experience building AI-native applications or agents ⢠Strong systems design skills, including components, trade-offs, and system changes ⢠Full-stack engineering capability across data, services, user interfaces, and infrastructure ⢠Hands-on infrastructure ownership deploying and operating applications on a major cloud provider ⢠Working knowledge of containers, infrastructure as code, CI/CD, and production monitoring ⢠Fluency with AI-assisted development and ability to understand, debug, and defend shipped systems ⢠Ability to translate ambiguous business needs into requirements and deliver working software ⢠Strong product judgment in defining scope, prioritizing, and determining completion ⢠Excellent written communication and ability to explain technical concepts clearly to non-technical colleagues ⢠Potential to work directly with clients as the team's scope grows ⢠Nice to have: experience in private markets, financial services, or another regulated, data-sensitive domain ⢠Nice to have: application security and sensitive-data handling practices, including multi-tenant isolation ⢠Nice to have: evaluation and regression testing for non-deterministic systems ⢠Nice to have: event-driven architectures and large-scale document processing ⢠Nice to have: client-facing, consulting, professional services, or forward deployed engineering background ⢠Candidates must address U.S. and/or Canada employment sponsorship requirements in the application
⢠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
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