Staff Software Engineer, AI Developer Productivity

Quick Facts

• Role: Staff Software Engineer, AI Developer Productivity

• Focus: Agentic AI workflows for continuous code improvement and developer productivity

Description

As a founding Staff Software Engineer for AI Developer Productivity in the Institutional Product Group, you will design and deliver agentic AI workflows that transform how Institutional engineers write, review, and ship code. You will build LLM-powered capabilities for automated refactoring, test generation, proactive bug detection, and developer productivity tooling across code review through deployment—tailored to trading, custody, and financial infrastructure needs.

Responsibilities

• Own the architecture and delivery of agentic AI workflows for continuous code improvement (automated refactoring, test generation, proactive bug detection)

• Build developer productivity tooling that integrates LLM-powered agents into the engineering workflow

• Partner with Platform AI and DevX teams to align on shared infrastructure while customizing for Institutional reliability, security, and regulatory requirements

• Drive adoption of AI-assisted development practices and measure impact on velocity, code quality, and developer satisfaction

• Establish technical standards and best practices for human-AI collaborative development with safe, governed AI agent usage in high-stakes systems

Requirements

• 8+ years of software engineering experience, including at least 2 years building AI/LLM-powered developer tools, agentic workflows, or code automation systems

• Proven ability to design and ship production-grade systems integrating LLMs or AI agents into software development lifecycles (code generation, automated review, CI/CD automation)

• Deep fluency in Java, Python, Go, or similar backend languages, plus hands-on experience orchestrating AI agent frameworks (e.g., LangChain, LangGraph, or custom architectures)

• Demonstrated cross-functional partnership skills delivering tooling adopted by hundreds of engineers

• Familiarity with financial systems, high-reliability engineering, or regulated environments where correctness, auditability, and security are non-negotiable

• Responsible generative AI usage with human oversight and measurable improvements in workflow efficiency, cost, and quality

Benefits

• Medical, dental, vision, 401(k)

• Equity and bonus eligibility (where applicable)

• Remote-first with quarterly in-person “surges”