Senior Software Engineer

Role Description

We're hiring Senior Software Engineers to join our AI-native engineering team. You'll design, build, and operate production AI systems - including AI platform capabilities, agentic workflow infrastructure, and LLM-powered features that serve institutional financial clients. This is a hands-on individual contributor role for engineers who are deeply fluent in AI-native development and want to work at the intersection of applied AI and backend systems engineering.

What you'll do

• Build and Operate AI Systems
  • 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.
• Drive Technical Excellence
  • 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.
• Build with AI-Native Practices
  • 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.

Qualifications

• 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.

Preferred

• Experience with document processing pipelines, structured extraction from unstructured documents, or vector stores.
• Familiarity with evaluation frameworks for LLM output quality (e.g., RAGAS, custom evals, human-in-the-loop review).
• Background in financial services or fintech.

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 $185,000 – $225,000 USD. Actual base salaries will be based on candidate-specific factors, including experience, skillset, and location, and local minimum pay requirements as applicable.

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.