Senior Software Engineer, AI

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Juniper Square

WebsiteLinkedInAlle Stellen

201 - 500 Mitarbeiter

💸 Finanzen

🏠 Immobilien

☁️ SaaS

💰 €75.000.000 Series C im 2019-11

Finance • Real Estate • SaaS

Juniper Square ist ein Unternehmen, das eine umfassende Plattform und maßgeschneiderte Lösungen für private Investitionspartnerschaften bietet. Gegründet im Jahr 2014 konzentriert sich das Unternehmen darauf, eine nahtlose Verbindung und Kommunikation zwischen General Partnern (GPs) und Limited Partnern (LPs) während des gesamten Investitionszyklus zu ermöglichen. Die Technologie von Juniper Square ist speziell entwickelt, um Unternehmen der Bereiche Gewerbeimmobilien, Private Equity und Venture Capital in allen Größenordnungen zu unterstützen. Die Plattform bietet Dienstleistungen wie Fondsverwaltung, Fundraising, Investorenmanagement, Compliance und Investorenberichte an, die alle darauf abzielen, Transparenz, Datenverwaltung und das gesamte Investorerlebnis zu verbessern.

Beschreibung

• Design, build, and ship production-quality backend services, APIs, and AI platform components used across multiple engineering teams • Build and integrate LLM-powered systems such as 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 • Build internal tools, frameworks, automation, and documentation that improve developer productivity and AI capabilities • Participate in code reviews, design reviews, debugging, incident response, and operational support • Contribute to technical design for complex projects, including evaluating tradeoffs and proposing pragmatic implementation plans • Partner with product, design, and engineering teams to translate platform needs into well-designed technical solutions • Help 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 — this is how the entire team operates • Critically evaluate AI-generated code for correctness, edge cases, and regressions — shipping quality output regardless of how it was produced • Contribute to the team's evolving practices around AI-accelerated development and testing

🎯 Anforderungen

• 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 • Strong understanding of CI/CD, observability, and operating services in production • Ability to break down complex technical problems and deliver pragmatic, maintainable solutions • Strong ownership mindset, with the ability to drive projects independently while collaborating effectively • Clear communication skills and the ability to explain technical tradeoffs to engineering and cross-functional partners • 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 • Ability to critically evaluate AI-generated code and outputs, including identifying failure modes, regressions, and edge cases

🏖️ Vorteile

• 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