Note: The job is a remote job and is open to candidates in USA. Juniper Square is a company focused on unlocking the potential of private markets through technology and data solutions. They are seeking a Staff Software Engineer to lead the technical direction and architecture of AI systems that enhance their core product experiences for institutional financial clients.
Responsibilities
- Set the technical direction for AI systems - including shared AI SDKs, guardrails, evaluation frameworks, feedback systems, and agentic workflow infrastructure
- Own architecture and technical strategy for complex backend and AI platform systems, from design through production
- Lead technical design for ambiguous, cross-functional initiatives - evaluating tradeoffs, aligning stakeholders, and driving implementation
- Evaluate and select technologies with a bias toward what ships well and scales sustainably
- Write production code as a hands-on individual contributor - this is not a role that delegates implementation to others
- Design and operate LLM-powered systems: RAG pipelines, agentic workflows, evaluation infrastructure, guardrails, and model observability
- Own end-to-end reliability of AI systems from design through structured output delivery
- Define quality benchmarks, evaluation frameworks, and feedback loops to continuously improve AI output accuracy and system reliability
- Champion and embed AI-native development practices and tools (e.g., Cursor, Augment) to achieve significant productivity gains across the team
- Foster a culture of rapid iteration, high velocity, and quality - including guiding the effective use of AI code generation
- Bring strong, informed opinions about how to get the most from AI-assisted development while maintaining reliability and correctness
- Mentor engineers, raise the quality of technical decision-making, and help the team execute with consistency
- Establish coding standards, review practices, and architectural documentation that scale as the team grows
- Help define what 'good' looks like for a team building at speed without sacrificing quality
- Partner with recruiting to build and grow the team
- Work closely with engineering managers, product, design, and QA to translate requirements into executable technical plans
- Participate actively in design reviews and roadmap discussions with grounded, implementation-level perspective
- Handle most cross-team conflicts and technical decisions autonomously
Skills
- 7+ years of backend and/or ML engineering experience with a trajectory of increasing technical leadership, architectural responsibility, and mentorship
- A portfolio of shipped production systems - we will ask you to walk through specific technical decisions you personally made and code you personally wrote; this is not a role for someone whose primary contribution has been directing others
- Deep expertise in Python, with strong proficiency in building production-grade backend services; experience with other server-side languages (Node/TS, Java) a plus
- Production experience building and operating AI/LLM-powered systems — such as AI SDKs, RAG pipelines, evaluation frameworks, agentic workflows, or model observability — in real systems, not just experimentation
- Experience leading technical design for complex systems, including making architecture decisions, evaluating tradeoffs, and guiding implementation across multiple engineers or teams
- Experience with relational/NoSQL databases, including schema design, performance tuning, and data modeling
- Experience building and operating cloud-native systems using AWS, Docker, Kubernetes, and infrastructure as code
- Strong understanding of CI/CD, observability, reliability, and operational excellence in production environments
- Ability to work through ambiguity, break down complex problems, and drive alignment across engineering, product, and design
- Demonstrated ability to raise engineering quality through technical standards, design reviews, mentoring, and reusable platform patterns
- Hands-on experience with AI-native development tools (e.g., Cursor, Augment); demonstrated ability to embed AI-driven practices to accelerate team velocity and code quality
- Ability to critically evaluate AI-generated code and outputs, including identifying failure modes, regressions, and edge cases
- Experience with document processing pipelines, structured extraction, or vector stores
- Familiarity with MLOps tooling, experiment tracking, or model deployment pipelines
- Background in financial document processing or fintech data pipelines
- Prior experience in a technical lead or TLM capacity on a new or early-stage product team
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
Company Overview
Juniper Square provides software and fund administration services that streamline collaboration and communication between GPs and LPs. It was founded in 2014, and is headquartered in San Francisco, California, USA, with a workforce of 1001-5000 employees. Its website is https://www.junipersquare.com.Company H1B Sponsorship
Juniper Square has a track record of offering H1B sponsorships, with 4 in 2026, 4 in 2025, 5 in 2024, 4 in 2023, 3 in 2022, 3 in 2020. Please note that this does not guarantee sponsorship for this specific role.