Lead Software Engineer, ML Engineer for Agent Platform

What you'll do

• Build and operate major NEO runtime components including agent execution, sandboxing, memory layers, and retrieval harnesses.
• Develop secure production code and perform code reviews and debugging for other team members.
• Implement permission-aware, auditable execution for agents with fine-grained authorization and runtime policy checks.
• Drive team adoption of enterprise-authorized AI-assisted engineering practices to improve code quality and delivery speed.
• Identify and automate the remediation of recurring issues to improve overall operational stability of software systems.
• Lead evaluation sessions with external vendors and internal teams to probe architectural designs and technical credentials.
• Lead communities of practice to drive awareness of leading-edge technologies and mentor senior engineers.

What we're looking for

• Formal training or certification on software engineering concepts and 5+ years of applied experience.
• Hands-on experience delivering system design, application development, testing, and operational stability.
• Advanced proficiency in one or more programming languages, with strong Python required.
• Demonstrated experience leading the use of approved AI-assisted software development tools and coaching engineers on responsible AI use.
• Hands-on experience building LLM-powered or agentic systems, including tracing, evaluations, and guardrails.
• Proficiency in all aspects of the Software Development Life Cycle, including CI/CD, application resiliency, and security.
• In-depth knowledge of the financial services industry and their IT systems.
• Practical cloud native experience with production Kubernetes expected.