Senior Software Engineer, Juniper Square
AI Initiatives
$190-230k
Canadian base salary range for this role is $170,000 - $205,000
Investment partnership platform
Be an early applicant
Investment partnership platform
501-1000 employees
Be an early applicant
$190-230k
Canadian base salary range for this role is $170,000 - $205,000
501-1000 employees
Company mission
To create new opportunities for private capital markets.
Role
Who you are
- Bachelor’s or Master’s degree in Computer Science or a related field; equivalent practical experience considered
- 5+ years of software engineering experience, with at least 2+ years building and deploying AI/ML solutions in production
- Strong expertise with LLMs, natural language processing, prompt engineering, vector search, and Retrieval-Augmented Generation (RAG) techniques
- Proven ability to architect scalable AI systems and make thoughtful trade-offs between open-source, third-party, and custom-built solutions
- Hands-on experience with modern backend frameworks (e.g., NestJS, FastAPI, Django) and frontend frameworks (e.g., React) to deliver end-to-end AI features
- Proficiency with Python and/or TypeScript; experience with service-oriented and distributed system design
- Strong product sense and ability to translate ambiguous problems into concrete, impactful AI solutions
- Experience mentoring other engineers, conducting code and design reviews, and raising the technical bar for AI-focused teams
- Familiarity with modern AI tooling (e.g.,, vector databases, orchestration frameworks, AI agentic platforms)
- A growth mindset and excitement for working in a fast-paced environment where AI innovation is a top priority
What the job involves
- As a Senior Software Engineer on our AI Initiatives team, you will take a leadership role in shaping, designing, and building intelligent agents and AI systems that drive Juniper Square’s AI-first strategy
- You will collaborate closely with engineers, product managers, designers, and data teams to deliver AI-native capabilities powered by Large Language Models (LLMs) and our unique data assets
- In this role, you’ll own significant parts of the AI solution architecture, drive key technical decisions, and mentor teammates in adopting AI-accelerated practices
- You’ll balance hands-on implementation with technical leadership, ensuring we build robust, scalable, and impactful AI features that solve real customer problems and elevate our product experience
- Lead and deliver high-impact projects within cross-functional AI squads, architecting and developing AI-native products and capabilities that are core to our AI-first roadmap
- Design and implement robust LLM-based solutions, including conversational AI agents, multi-agent orchestration, advanced RAG pipelines, and custom model workflows
- Partner with product and design to shape requirements into clear technical approaches, providing guidance on feasibility, scope, and trade-offs
- Define and evolve data models, vector indexing strategies, and integration pipelines that power intelligent agents and downstream AI applications
- Drive development of scalable APIs (e.g., GraphQL) and service layers to support AI-powered features, ensuring performance, security, and maintainability
- Build user-facing experiences using modern frontend frameworks (e.g., React), working closely with designers to deliver intuitive AI interactions
- Establish best practices for model evaluation, training workflows, and continuous improvement of AI systems, including automated testing frameworks
- Mentor and support junior engineers in LLM engineering, RAG techniques, prompt design, and AI tool adoption
- Champion experimentation and rapid iteration with emerging AI tools and techniques to maximize team velocity and innovation
- Monitor, diagnose, and resolve production issues for AI features, ensuring reliable and high-quality customer experiences
- Collaborate with stakeholders across engineering, product, and operations to proactively identify opportunities for AI-driven product enhancements
- Contribute to a culture of learning, knowledge sharing, and AI-native development within the broader engineering organization
Our take
Juniper Square is an investment management solutions platform that aims to empower LPs (Limited Partners) and GPs (General Partners) to expand opportunities through partnerships and make the world of private equity more transparent, efficient, and accessible. With a suite of tools that focus on CRM, fundraising, investor reporting, and an investor portal, the company has modernised and streamlined private equity management for companies such as Beacon Capital Partners, Bell Partners, and Greystar.
Founded in 2014, Juniper Square were immediately in direct competition with analytical monolith Microsoft Excel, as well as popular equity management apps like Fundwave. However, the platform has exceeded expectations, in part because of its fluid and longer-term focused software solutions that have innovated what was previously archaic and error-ridden under Excel.
Serving almost 2000 GPs, Juniper Square supports tens of thousands of investment partnerships, covering hundreds of billions in LP capital. The company has raised substantial funding that will be used to fuel rapid growth, accelerate innovation, and expand its services.
Kirsty
Company Specialist at Welcome to the Jungle
Company
Funding (last 2 of 6 rounds)
Jun 2025
$130m
SERIES D
Feb 2023
$133m
LATE VC
Total funding: $371m
Company HQ
Chinatown, San Francisco, CA
Leadership
Alex Robinson
(Co-Founder & CEO)Previously founded GreenDoor where they served as the CEO. They also spent 5 years at Microsoft as Senior Product Manager and 3 years at New Energy Risk as the Founding VP of Business Development.
Yonas Fisseha
(Co-Founder & CTO)Previously the Principal Architect at Fanbase.com and the VP of Engineering at Huddler.com
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