Job Overview
Location
Americas (USA or Canada)
Job Type
Full-time
Category
Software Engineer
Date Posted
May 26, 2026
Full Job Description
đź“‹ 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 including 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
- • Develop internal tools, frameworks, automation, and documentation to enhance developer productivity and AI capabilities
- • Participate in code reviews, design reviews, debugging, incident response, and operational support for AI systems
- • Contribute to technical design for complex projects by evaluating tradeoffs and proposing pragmatic implementation plans
- • Partner with product, design, and engineering teams to translate platform needs into well-designed technical solutions
- • 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, as practiced by the entire team
- • Critically evaluate AI-generated code for correctness, edge cases, and regressions, ensuring quality output regardless of generation method
- • Contribute to the team’s evolving practices around AI-accelerated development and testing
- • Apply strong backend engineering skills using Python frameworks such as FastAPI, Flask, or Django to develop scalable systems
- • Work with relational and NoSQL databases, including schema design, query optimization, and data modeling
- • Deploy and manage services using cloud-native technologies including AWS, Docker, and Kubernetes
- • Implement and maintain CI/CD pipelines, observability tooling, and production-grade operational practices
- • Break down complex technical problems into pragmatic, maintainable solutions with clear ownership and execution
- • Communicate technical tradeoffs clearly to engineering and cross-functional partners
- • Demonstrate hands-on experience with AI-native development tools such as Cursor or Augment to accelerate velocity and code quality
- • Actively embed AI-driven practices into daily development workflows to improve efficiency and output quality
🎯 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
- • 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
🏖️ 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
Skills & Technologies
About Juniper Square, Inc.
Juniper Square is a SaaS provider focused on investment-management software for the private funds industry. Founded in 2014 and headquartered in San Francisco, the platform streamlines fundraising, investor onboarding, capital calls, distributions, reporting, and compliance workflows for real estate, private equity, and venture capital managers. It integrates CRM, document management, e-signature, and analytics into a single cloud system to reduce manual processes and improve transparency. The company serves hundreds of fund sponsors managing tens of thousands of investors and billions in assets under administration.
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