AI Full Stack Engineer - Equities Technology

Millennium • New York, NY

1d • $175,000 - $250,000

About The Position

We are building the next generation of Large Language Model applications driven by Portfolio Manager requirements that deliver immediate value and scale as a core product. We are looking for an AI Full Stack Engineer to lead this work within the Equities Technology AI group. This role will be responsible for designing, expanding, and optimizing the architecture of a strategic, evolving AI platform and its user-facing applications. The ideal candidate is an experienced engineer who enjoys building and owning high-performance, production-grade AI systems end-to-end (UI through backend) from the ground up.

Requirements

• Master’s or Bachelor’s degree in a technical field with 5+ years of industry experience.
• Strong full stack engineering experience across Python and modern TypeScript/JavaScript stacks, including microservices, REST APIs, and web application development.
• Hands-on experience building and operating production-grade LLM applications.
• Experience with agentic and LLM frameworks.
• Strong understanding of agentic patterns including tool use, planning, memory, and reflection.
• Experience with retrieval-augmented generation, vector databases, and semantic search systems.
• Experience developing end-to-end asynchronous applications and distributed systems.
• Experience deploying AI systems in cloud environments such as AWS or GCP.
• Strong experience building production front ends (e.g., React/Next.js or equivalent), including authentication/authorization integration and secure consumption of backend APIs.
• Strong interpersonal and communication skills with the ability to operate independently and collaboratively in a fast-paced environment.

Responsibilities

• Understand and translate Portfolio Manager and business problems into robust, production-ready AI solutions.
• Design, build, test, deploy, and own LLM-based products that solve specific Portfolio Manager workflows and generalize into reusable AI capabilities.
• Design and implement agentic AI systems that perform multi-step reasoning, planning, and tool execution.
• Own the end-to-end LLM architecture and lifecycle, including prompt design, model selection, evaluation, deployment, and iteration.
• Work closely with stakeholders across business and technology organizations to optimize product design and adoption in production environments.
• Design and build user-facing web applications for AI-powered workflows, including conversational and task-driven UIs used by Portfolio Managers.
• Implement and own front-end architecture (state management, component design, performance, accessibility) and integrate it with LLM/agent services and data APIs.
• Partner with design/product to iterate quickly on UX, while maintaining production-grade engineering standards across both client and server.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level