Forward Deployed Engineer, Applied AI

🔥 15 hours ago

🇺🇸 United States – Remote

💵 $130k - $160k / year

⏰ Full Time

🟢 Junior

🟡 Mid-level

🤖 Artificial Intelligence

🚫👨‍🎓 No degree required

👻 Ghost score 0%

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Logo of Juniper Square

Juniper Square

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

• Work directly with GP clients to identify workflows where custom AI agents create leverage • Support discovery and translate ambiguous business problems into requirements, scope, and acceptance criteria • Carry owned components through prototype, client validation, hardening, deployment, rollout, and production • Design and build agentic systems including retrieval and context design, tool and MCP integration, orchestration, evaluation harnesses, observability, and cost controls • Work across client-edge solutions and partner with platform and product engineering teams on core-system integrations • Make engineering trade-offs balancing speed, reliability, security, and maintainability • Operate deployed solutions through adoption, including post-launch support and iteration based on user feedback • Produce documentation, train users, and support rollouts to drive adoption • Contribute reusable patterns to Applied AI’s component library • Grow toward leading engagements independently

🎯 Requirements

• 2+ years of professional experience shipping production software, with hands-on experience building AI-enabled applications • Demonstrated ability to translate ambiguous business needs into requirements and deliver working software • Full-stack engineering capability across data, services, user interfaces, and the infrastructure underneath them • Working knowledge of a major cloud provider, containers, infrastructure as code, CI/CD, and production monitoring • Comfort deploying and debugging your own work • Comfort working directly with external clients or customers • Fluency with AI-assisted development and depth to understand, debug, and defend everything shipped • Developing product judgment, including defining scope, prioritizing, and knowing when something is done • Excellent written communication and ability to explain technical concepts clearly to non-technical stakeholders • Experience in private markets, financial services, or another regulated, data-sensitive domain (nice to have) • Familiarity with application security, client data handling, contractual and SOC 2 obligations, and multi-tenant isolation (nice to have) • Experience building evaluation and regression testing for non-deterministic systems (nice to have) • Consulting, professional services, or forward-deployed engineering background (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 savings plans • Allowance to customize your work and technology setup at home • Annual professional development stipend • Equity

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