Python AI Enginner

Job 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.

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