СШАSoftware Engineer
1 нед. назад
50k–150k USD / годСШАRemote
pythonapissystem designdata analysis
Develop and maintain high-performance backend systems and AI solutions for a financial and analytics platform with a hybrid work model in San Francisco.
Обязанности
- Write code for large scale data analysis and processing, backtesting and quantitative models across the financial markets
- Full stack software development and AI engineering
- Deploy AI agents that run internally to do run evals, review and optimize code, take care of processes and others.
- Deploy user facing agents that do tasks for the users.
- This is a full-time hybrid role based in the San Francisco Bay Area, with a mix of on-site collaboration and work-from-home flexibility.
Требования
- Strong foundation in Computer Science, including algorithms, data structures, and system design, and AI engineering
- Proficiency in Software Development and Programming with Python and data analysis
- Hands-on experience in Back-End Web Development, building and maintaining APIs, services, data pipelines, and building and deploying AI harnesses and agents.
- Solid understanding of Object-Oriented Programming (OOP) principles and their application in production systems.
- Familiarity with databases and data processing (SQL/NoSQL, streaming, or batch processing) in high-availability environments.
- Bachelor’s degree or higher in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
- Interest in financial markets, quantitative investing, or AI-driven products is a plus.
Другое
- Role Description The Software Engineer will design, build, and maintain high-performance backend systems that power ’s investment and analytics platform. Day-to-day responsibilities include implementing scalable APIs, integrating data sources, optimizing system reliability, and collaborating with product and quantitative teams to translate financial and AI-driven requirements into robust software solutions. The role involves writing clean, well-tested code, participating in code reviews, and contributing to architectural decisions that support secure, real-time financial analytics.