Senior Software Engineer, AI Initiatives

About Juniper Square

Our mission is to unlock the full potential of private markets. Privately owned assets like commercial real estate, private equity, and venture capital make up half of our financial ecosystem yet remain inaccessible to most people. We are digitizing these markets, and as a result, bringing efficiency, transparency, and access to one of the most productive corners of our financial ecosystem. If you care about making the world a better place by making markets work better through technology – all while contributing as a member of a values-driven organization – we want to hear from you.

Juniper Square offers employees a variety of ways to work, ranging from a fully remote experience to working full-time in one of our physical offices. We invest heavily in digital-first operations, allowing our teams to collaborate effectively across 27 U.S. states, 2 Canadian Provinces, India, Luxembourg, and England. We also have physical offices in San Francisco, New York City, Mumbai and Bangalore for employees who prefer to work in an office some or all of the time.

Location Type: Remote Employment Type: FullTime

About Your Role

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.

What You’ll Do

• 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.

Qualifications

• 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).