Senior Software Engineer (AI PYTHON)

About This Role 5 to 7 years of experience

Skills: Python frameworks , AWS, Docker, and Kubernetes

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