an experienced engineer with a deep hands-on experience developing systems and products with a burning desire to deliver software solutions which unlock the capabilities of Generative AI in the context of a professional domain such as finance
passionate about this opportunity to help drive and deliver first-of-a-kind knowledge-based applications for investment professionals
comfortable working in a fast-paced environment where the lag between conceptualization, research, development, and productionization is constantly shortening
skilled at working with architecture and engineering stakeholders
enjoy mentoring junior contributors, helping them grow and learn new skills in today’s engineering field
a critical thinker who revels in working as part of a team to deliver the most amount of value in the least amount of time.
Requirements
A Bachelor’s or Master's Computer Science or relevant field, with five years plus of industrial experience
Proficient in deploying software products into production capable of handling large volumes of data at scale
Design, develop, and maintain robust, scalable, and secure Python-based applications and services
Strong understanding of Python internals, performance tuning, and advanced language features
Write clean, idiomatic, and well-documented Python code following PEP8 and enterprise coding standards
Optimize Python applications for performance, memory usage, and concurrency
Ability to orchestrate solutions within a cloud based environment
Strong understanding of standard methodologies for large scale application design, SOA, microservices, distributed compute, containers, and use of the cloud
An understanding of how to deliver into production GenAI applications that can reliably process information in open-ended settings
Strong attention to detail with a passion for validation and verification of software components
Strong communication skills and the ability to work with distributed team members.
Tech Stack
Cloud
Microservices
Python
Benefits
comprehensive health care coverage and emotional well-being support
market-leading retirement
generous paid time off and parental leave
charitable giving employee match program
educational assistance including student loan repayment, tuition reimbursement, and learning resources to develop your career