Full Stack Engineer

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. Our Culture At Schonfeld, we’ll invest in you. Attracting and retaining top talent is at the heart of what we do, because we believe that exceptional outcomes begin with exceptional people. We foster a culture where talent is empowered to continually learn, innovate and pursue ambitious goals. We are teamwork-oriented, collaborative and encourage ideas—at all levels—to be shared. As an organization committed to investing in our people, we provide learning and educational offerings and opportunities to make an impact. We encourage community through internal networks, external partnerships and service initiatives that promote inclusion and purpose beyond the firm’s walls. The base pay for this role is expected to be between $175,000 and $225,000. The expected base pay range is based on information at the time this post was generated. This role may also be eligible for other forms of compensation such as a performance bonus and a competitive benefits package. Actual compensation for the successful candidate will be determined based on a variety of factors such as skills, qualifications, and experience.