Senior Software Engineer (AI PYTHON)

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. 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 • Participatein 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 • Helpidentifyand reduce technical debt, reliability risks, and friction in the software development lifecycle • Collaborate with Staff and senior engineers toestablishreusable 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 Required • 5+ years of experience designing, building, and operating production software systems • Strong backend engineering experience with Python frameworks such asFastAPI, 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);demonstratedability 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