Senior Software Engineer at Schonfeld in New York City, NY

The Role We’re looking for a Senior Software Engineer to join our AI Technology team and play a critical role in building and shaping the firm’s internal Agentic AI platform. This is a high-impact, hands-on engineering position where you’ll contribute not just as an AI software engineer, 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. What you’ll do You’ll be a key contributor to our agentic AI platform and associated tooling. At the same time, you’ll work closely with product teams and business stakeholders, helping shape feature definitions, and designing and building high-impact AI-powered solutions directly into our AI applications. Design and implement new Agentic AI-powered workflows to run continuously in the background, analyzing market news, security data, SEC filings, emails, and other data sources and surface pertinent information that can help drive investment decisions. Create agentic AI tools, contribute to our MCP Server and MCP Gateway, and deploy an agent evaluation framework. Perform User Acceptance Testing with relevant stakeholders and iterate on the design and implementation until successful. 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: 5+ years of professional software engineering experience, preferably in Python Experience working creating and integrating REST APIs, and event-driven and asynchronous architectures Experience working with both relational (Postgres, MySQL) and NoSQL databases (DynamoDB, Elastic Search) Experience with AWS cloud services (S3, OpenSearch, DynamoDB, etc.), Kubernetes-driven deployments, Github Actions, and modern CI/CD pipelines A passion for AI, creative ideas for how it can be a tool for problem solving and productivity A thoughtful approach to problem-solving; ability to break down complex issues methodically Excellent communication skills; Able to translate technical concepts for non-technical stakeholders We’d love if you had: Experience developing agentic AI applications, harnesses, MCP servers, and workflows Familiarity with or experience building AI agents, Retrieval-Augmented Generation (RAG) pipelines, or agentic tools 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.