Juniper Square

Juniper Square

Staff Software Engineer (AI)

Americas (USA or Canada) · Staff+ · Full-time

Sponsorship not specified$210k-$260kDetected 57 days ago
TypeScriptPythonJavaNode.jsBackend DevelopmentNoSQLVector DatabasesAWSDockerKubernetesCI/CDMachine LearningData EngineeringLLMsRAGMLOpsA/B TestingLeadershipCollaborationMentoring

About the role

  • We're hiring Staff Software Engineers to join our AI-native engineering team.
  • At the Staff level, you are a technical leader - setting technical direction, driving architectural decisions, and raising engineering quality across your team.

Responsibilities

  • Own Technical Direction and Architecture
  • 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
  • Build and Operate AI Systems
  • 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
  • Fertility and growing family support

Requirements

  • 7+ years of backend and/or ML engineering experience with a trajectory of increasing technical leadership, architectural responsibility, and mentorship
  • Experience with relational/NoSQL databases, including schema design, performance tuning, and data modeling
  • Strong understanding of CI/CD, observability, reliability, and operational excellence in production environments
  • 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
  • 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 building and operating cloud-native systems using AWS, Docker, Kubernetes, and infrastructure as code
  • 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

Nice to have

  • Deep expertise in Python, with strong proficiency in building production-grade backend services
  • experience with other server-side languages (Node/TS, Java) a plus

Skills

  • Define quality benchmarks, evaluation frameworks, and feedback loops to continuously improve AI output accuracy and system reliability
  • 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
  • Handle most cross-team conflicts and technical decisions autonomously

Compensation

  • Compensation for this position includes a base salary, equity, and a variety of benefits.
  • The U.S. base salary range for this role is $210,000 - $260,000 USD.
  • Actual base salaries will be based on candidate-specific factors, including experience, skillset, and location, and local minimum pay requirements as applicable.
  • Annual professional development stipend

Benefits

  • Health, dental, and vision care for you and your family
  • Life insurance
  • Mental wellness coverage
  • Flex Time Off in addition to company-paid holidays
  • Paid family leave, medical leave, and bereavement leave policies
  • Retirement saving plans
  • Annual professional development stipend

This listing is sourced directly from Juniper Square's careers page and normalized into a canonical job model.