Senior Applied AI Engineer

Juniper Square

. Partner with internal stakeholders, including executives and sales, finance, HR, and marketing business units, to identify workflows where custom agents create leverage .

Posted 10/23/2026full-timeRemote • United StatesSenior💰 $165,000 - $200,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in full-stack engineering, including AI-native application development, systems design, and cloud infrastructure management. Capable of translating business needs into technical requirements while ensuring reliability, security, and maintainability of deployed solutions.

Highest-signal resume keywords

AI-Native Application DevelopmentFull-Stack EngineeringSystems DesignCloud Infrastructure ManagementTechnical Documentation

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

AI Systems DevelopmentEvent-Driven ArchitectureData ProcessingInfrastructure as CodeCI/CDProduction MonitoringUser Interface DevelopmentSystem Trade-Off AnalysisPrototypingAcceptance Criteria Definition

Soft Skills

Excellent Written CommunicationStakeholder CollaborationProduct JudgmentUser TrainingClient-Facing Skills

Tools & Technologies

ContainersCloud Provider ServicesObservability ToolsMCP IntegrationEvaluation Harnesses

Industry Keywords

Private MarketsFinancial ServicesData-Sensitive DomainApplication SecuritySensitive-Data Handling

Tech Stack

Tools & technologies

Cloud

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

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

Benefits

Comp & perks

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