Senior Software Engineer

Schonfeld•New York, NY

11h

About The Position

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. 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.

Requirements

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

Nice To Haves

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

Responsibilities

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.
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.