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Senior Software Engineer, AI
Juniper SquareSenior Software Engineer designing, building, and operating production AI systems for private market solutions at Juniper Square.
Tech Stack
Tools & technologiesAWSCloudDjangoDockerFlaskKubernetesNoSQLPython
About the role
Key responsibilities & impact- 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
Requirements
What you’ll need- 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
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
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
backend engineeringPythonFastAPIFlaskDjangoAI systemsRAG pipelinesrelational databasesNoSQL databasesCI/CD
Soft Skills
problem-solvingownership mindsetcollaborationclear communicationtechnical tradeoffs evaluation