3 months ago
Base Salary
$175k - $225k/yr
Responsibilities
- Build and evolve the firm’s internal agentic AI platform and associated tooling.
- Design and implement background agentic AI workflows that analyze market news, security data, SEC filings, emails, and other data sources.
- Create agentic AI tools and contribute to the MCP Server and MCP Gateway.
- Deploy an agent evaluation framework and perform User Acceptance Testing with stakeholders.
- Collaborate with product teams and business stakeholders to define features and build AI-powered applications.
- Improve code quality, development lifecycles, platform capabilities, and developer practices.
Requirements
- 5+ years of professional software engineering experience, preferably with Python.
- Experience creating and integrating REST APIs and working with event-driven and asynchronous architectures.
- Experience with relational databases including Postgres and MySQL and NoSQL databases including DynamoDB and Elastic Search.
- Experience with AWS cloud services, Kubernetes-driven deployments, Github Actions, and modern CI/CD pipelines.
- Strong interest in AI and the ability to develop creative problem-solving applications.
- Methodical problem-solving skills and the ability to break down complex issues.
- Excellent communication skills and the ability to explain technical concepts to non-technical stakeholders.
- Preferred experience developing agentic AI applications, harnesses, MCP servers, and workflows.
- Preferred familiarity with AI agents, Retrieval-Augmented Generation (RAG) pipelines, agentic tools, and observability tooling such as DataDog.
Benefits
- Competitive benefits package.
- Learning and educational offerings and opportunities to make an impact.
- Collaborative, teamwork-oriented culture with internal networks, external partnerships, and service initiatives.
- Base pay is stated as $175,000 to $225,000; the role may also be eligible for performance-based compensation.
Tech Stack
Categories
About Schonfeld
Schonfeld is a privately held, multi-manager hedge fund that allocates capital to internal and external portfolio managers across quantitative, fundamental equity, tactical trading, and discretionary macro/fixed-income strategies. The firm manages money for institutional and other sophisticated investors and supports teams with proprietary technology, infrastructure, and risk analytics. Founded in 1988 and headquartered in New York, it operates globally with an investing footprint spanning five continents.