Senior Lead Software Engineer - ML Engineer for Agent Platform (Commercial & Investment Bank)

Job Description

Own the architecture and technical direction of NEO, a secure and scalable agent runtime, including execution isolation, agent communication, memory, authorization, policy, and evaluation systems. Deliver and review production software, improve operational stability and engineering practices, guide responsible AI-assisted development, and mentor engineers across teams.

Requirements: Requires at least five years of applied software engineering experience, production experience with platforms or distributed systems, advanced programming skills in Python and a systems language such as Go or Rust, and experience operating production LLM or agent systems. Candidates should also have strong SDLC, security, resiliency, cloud-native, Kubernetes, and financial-services knowledge; experience with agent protocols, sandboxing, authorization, evaluation systems, and infrastructure as code is preferred.

Key Skills: Python, Go, Rust, Distributed Systems, Production Kubernetes, Agent Runtime Architecture, LLM And Agent Systems, Secure Code Execution And Sandboxing, Micro-VM Isolation, Agent-To-Agent Communication, Model Context Protocol, Multi-Agent Orchestration, Evaluation Infrastructure, Fine-Grained Authorization, Policy Engines, AI-Assisted Software Development

Benefits: Health Care Coverage, On-Site Health And Wellness Centers, Retirement Savings Plan, Backup Childcare, Tuition Reimbursement, Mental Health Support, Financial Coaching, Cash Incentive Compensation, Forfeitable Equity