Staff Software Engineer, AI

Juniper Square

Staff Software Engineer leading AI-native engineering team at Juniper Square. Own technical direction, build and operate AI systems for private markets finance.

Posted 5/26/2026full-timeRemote • California, Florida, Illinois, Missouri, New York, North Carolina, Ohio, Pennsylvania, Texas • 🇺🇸 United StatesLead💰 $210,000 - $260,000 per yearWebsite

Tech Stack

Tools & technologies

AWSCloudDockerJavaKubernetesNode.jsNoSQLPythonTypeScript

About the role

Key responsibilities & impact

Own Technical Direction and Architecture
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
Build and Operate AI Systems
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 AI-Native Development
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
Lead and Grow the Team
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
Collaborate Cross-Functionally
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

Requirements

What you’ll need

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

Benefits

Comp & perks

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

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

Pythonbackend servicesAI systemsRAG pipelinesevaluation frameworksagentic workflowsmodel observabilityrelational databasesNoSQL databasescloud-native systems

Soft Skills

technical leadershipmentorshipproblem-solvingcross-functional collaborationdecision-makingcommunicationquality assurancerapid iterationteam buildingalignment