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Salary: USD 175,000 - 220,000 / annual
Juniper Square is the operations partner for 2,300+ private market GPs, unifying technology, data, and fund administration into a single platform. With $300B+ under administration and 1,000+ employees, the company is building JunieAI, a purpose-built AI platform that reimagines how private markets operate.
As a Senior Software Engineer on the AI Platform team, you will be a hands-on individual contributor designing, building, and operating production systems that power core workflows for institutional financial clients. You'll own projects end-to-end—from translating requirements into technical designs, through implementation, testing, deployment, and ongoing iteration. Your work will span the foundational infrastructure layer that powers all AI initiatives at Juniper Square, including the customer-facing GPX product and internal automation, covering AI Gateway & Infrastructure, Governance & Security, Retrieval & Data Access, and Agent Framework.
Key responsibilities include:
- Design, build, and ship production-quality systems, APIs, and services from foundational platform capabilities to customer-facing experiences
- Own the production health of systems you build, including monitoring, troubleshooting, performance, reliability, and incident resolution
- Build reusable infrastructure, frameworks, tooling, and developer experiences that enable teams across the organization
- Contribute to technical design for complex projects, evaluating tradeoffs and proposing pragmatic implementation plans
- Use agentic coding tools and AI-assisted development as a primary part of your workflow, critically evaluating AI-generated code for correctness and edge cases
- Build or integrate AI/LLM-powered capabilities in your domain where they add real value (e.g., evaluation frameworks, RAG pipelines, agentic workflows)
- Work closely with product, design, QA, and cross-functional partners to meet timelines and align solutions to business goals
- Grow into a subject-matter expert with deep understanding of the data, workflows, and customer needs in private markets
The company offers flexible work arrangements ranging from fully remote to full-time office presence, with physical offices in San Francisco, New York City, Mumbai, and Bangalore, and distributed teams across 27 U.S. states, 2 Canadian provinces, India, Luxembourg, and England.
REQUIREMENTS:
Required:
- 7+ years of experience in backend and/or full-stack software engineering
- Strong backend engineering experience with Python and frameworks such as FastAPI, Flask, Pyramid, or Django
- Experience with relational/NoSQL databases, including schema design, query optimization, and data modeling
- Experience with cloud-native technologies such as AWS, Docker, and Kubernetes, and infrastructure as code
- Strong understanding of CI/CD, observability, and operating services in production
- Comfort working full-stack when the problem calls for it (TypeScript/React experience a plus)
- 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 across teams
- Clear communication skills, with the ability to explain technical tradeoffs to engineering and cross-functional partners
- Hands-on experience with AI-native development tools (e.g., Cursor, Augment), and demonstrated AI fluency: a deliberate point of view on when AI is (and isn't) the right tool, adapted code review practices for AI-generated code, and safeguards against over-reliance on AI tooling
- Bachelor's degree in Computer Science or equivalent work experience
- Hands-on experience building or integrating AI/LLM-powered systems in production (e.g., RAG pipelines, agent frameworks, evaluation workflows, guardrails, prompt/tool orchestration, or model observability)
- Comfort operating in ambiguous, fast-evolving technical territory where best practices and patterns are still being established
Nice to have:
- Background in financial services or fintech
- Experience with API gateway/infrastructure, security & governance tooling, retrieval and data-access systems, or agent frameworks at production scale
