Full Stack Engineer

About the role

The Role

We’re looking for a Full Stack Engineer to join our AI Technology team and play a critical role in building and shaping the firm’s internal Generative AI platform. This is a high-impact, hands-on engineering position where you’ll contribute not just as a full stack specialist, but also as an AI strategist – helping to evolve our agentic AI platform powering the firm. You’ll work in a dynamic, fast-paced environment where product requirements evolve, and business stakeholders are deeply engaged. Your engineering skills, UX sensibility, and product mindset will all be utilized as you craft industry-leading UI platform and ecosystems.

What you’ll do

You’ll be a key contributor to the UI and backend of our agentic AI platform and associated tooling. You’ll help evolve our technical stack and development tools by contributing to architectural improvements, shared components, and implementation consistency across cross-functional teams. At the same time, you’ll work closely with product teams and business stakeholders, helping shape feature definitions, and designing and building high-impact UI solutions directly into our AI applications.

Your development responsibilities will span full-stack, including web front-end, backend integration, API design, performance optimization, and system observability.

You’ll also be involved in the team’s code quality and best practices, identify gaps in development lifecycles, and continuously improve both the core platform and how developers build with it.

What you’ll bring

What you need:

- 3-5 years of professional experience in front-end or full stack engineering

- Expertise in React, HTML, CSS and modern web development toolkits

- Experience with Python-based backends used in production systems

- An eye toward high-level product and user-experience design

- Experience working with REST APIs, WebSockets, and event-driven architectures

- Experience working with both relational (Postgres, MySQL) and NoSQL databases (DynamoDB, Elastic Search)

- A thoughtful approach to problem-solving; Ability to break down complex issues methodically

We’d love if you had:

- Experience developing agentic AI applications, harnesses, MCP servers, and workflows

- Experience with AWS cloud services (S3, OpenSearch, DynamoDB, etc.), Kubernetes-driven deployments, Github Actions, and modern CI/CD pipelines

- Experience implementing or maintaining design systems

- Familiarity with React-based micro-frontend architectures and patterns for building modular UI

- Excellent communication skills; Able to translate technical concepts for non-technical stakeholders

- Experience with observability tooling such as DataDog

Who we are Schonfeld is a global multi-manager hedge fund that strives to deliver industry-leading risk-adjusted returns for our investors. We leverage both internal and external portfolio manager teams around the world, seeking to capitalize on inefficiencies and opportunities within the markets. We draw from decades of experience and a significant investment in proprietary technology, infrastructure and risk analytics to invest across four main strategies: Quant, Tactical, Fundamental Equity and Discretionary Macro & Fixed Income.