Software Engineer, AI & Data Tools (Hybrid)

Tradermath; New York (NY); Hybrid; USD 130,000 - 170,000; Full time

Benefits offered by this job

Generous paid time off

Hybrid working opportunities

Free meals

Wellness reimbursements

Learning opportunities

Job summary

Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower builds a high-performance platform and supports independent trading teams worldwide.

We empower engineers to develop electronic trading infrastructure, internal tools, and AI-enabled workflows for operations, risk, and research. The role requires 3–5 years of software experience, strong Python and SQL, and Linux proficiency in a collaborative hybrid environment.

Qualifications

• Degree in Computer Science, Engineering, Mathematics, Physics, or equivalent practical experience.
• 3-5 years of professional software engineering experience.
• Strong programming skills, preferably in Python.
• Solid SQL skills and understanding of relational databases.
• Experience with production or business-critical codebases.
• Experience with data workflows such as ETL, reporting, reconciliation, validation, or operational data processing.
• Familiarity with web application development, backend APIs, and frontend/backend integration.
• Comfortable working in Linux/Unix environments and using Git-based workflows.
• Strong debugging and problem-solving skills across code, data, configuration, and environment issues.
• Ability to work with ambiguous requirements, identify assumptions, ask targeted questions, and propose practical plans.

Responsibilities

• Build, maintain, and improve internal tools, data workflows, and operational web applications.
• Develop Python-based services, automation scripts, data processing jobs, and internal utilities.
• Work with business users and engineers to understand requirements, clarify ambiguity, and deliver practical software solutions.
• Design and maintain workflows for data ingestion, transformation, validation, reconciliation, and reporting.
• Write and debug SQL queries used for reporting, investigation, and operational analysis.
• Build and iterate on AI-enabled internal tools for the telco team, including an internal AI chatbot/assistant for operational support, billing investigation, documentation discovery, and workflow guidance.
• Develop AI agent workflows and integrations with internal APIs, databases, and documentation sources using patterns such as Model Context Protocol (MCP), function/tool calling, retrieval-augmented generation (RAG), and secure permission-aware access.
• Maintain backend APIs and frontend interfaces for internal applications.
• Debug issues across application code, databases, APIs, logs, configuration, and deployment environments.
• Improve reliability, observability, test coverage, documentation, and maintainability of existing systems.
• Use Git-based development workflows, code reviews, CI/CD pipelines, and deployment processes.
• Communicate progress, assumptions, risks, and blockers clearly and early.

Skills

Python

SQL

Linux

Git

Debugging

Communication

Education

Bachelor's degree in CS/Engineering/Math/Physics

Tools

Docker

Kubernetes

Django/Flask/FastAPI

GitLab CI/CD

Vue.js

Job description

Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower builds a high-performance platform and supports independent trading teams worldwide.

We empower engineers to develop electronic trading infrastructure, internal tools, and AI-enabled workflows for operations, risk, and research. The role requires 3–5 years of software experience, strong Python and SQL, and Linux proficiency in a collaborative hybrid environment.