Senior developer building production AI agents for Knak’s enterprise email and landing - page platform. Developing agent runtimes, evaluations, APIs, and AWS infrastructure.
About the role
- Senior Software Engineer building foundational AI infrastructure for Juniper Square’s private-markets finance platform. Developing production systems, LLM capabilities, and reusable engineering tools.
Responsibilities
- Design, build, and ship production-quality systems, APIs, and services for platform capabilities and customer-facing experiences
- Own projects end-to-end, including technical design, implementation, testing, deployment, and iteration
- Build reliable, scalable, and observable systems that deliver customer value and enable engineering teams
- Own production health through monitoring, troubleshooting, performance, reliability, and issue resolution
- Build reusable infrastructure, frameworks, tooling, and developer experiences
- Improve engineering velocity and operational quality through automation, documentation, and continuous improvements
- Contribute technical designs for complex projects, evaluate tradeoffs, and propose pragmatic implementation plans
- Partner with product, design, QA, and engineering on technical solutions and delivery
- Identify and reduce technical debt, reliability risks, and software-development friction
- Establish reusable patterns and raise engineering standards with Staff and senior engineers
- Participate in code reviews, design reviews, debugging, incident response, and operational support
- Use agentic coding tools and AI-assisted development as a primary workflow
- Evaluate AI-generated code for correctness, edge cases, and regressions
- Build or integrate AI/LLM-powered capabilities, including evaluation frameworks, RAG pipelines, and agentic workflows
- Contribute to AI-accelerated development, testing, and code-review practices
- Provide technical context to technical and non-technical stakeholders
- Grow as a subject-matter expert in relevant data, workflows, and customer needs
Requirements
- 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 is a plus
- Ability to break down complex technical problems and deliver pragmatic, maintainable solutions
- Strong ownership mindset and ability to drive projects independently while collaborating effectively across teams
- Clear communication skills and ability to explain technical tradeoffs to engineering and cross-functional partners
- Hands-on experience with AI-native development tools such as Cursor or Augment
- Demonstrated AI Fluency, including judgment about when AI is and is not 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, such as RAG pipelines, agent frameworks, evaluation workflows, guardrails, prompt/tool orchestration, or model observability
- Comfort operating in ambiguous, fast-evolving technical territory
- Background in financial services or fintech is nice to have
- Experience with API gateway/infrastructure, security and governance tooling, retrieval and data-access systems, or agent frameworks at production scale is nice to have
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
- Equity
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