Onsite
Full Time Software Architecture & Engineering
Responsibilities
Deliver software solutions which unlock the capabilities of Generative AI in the context of a professional domain such as finance
Help drive and deliver first‑of‑a‑kind knowledge‑based applications for investment professionals
Work in a fast‑paced environment where the lag between conceptualization, research, development, and productionization is constantly shortening
Collaborate 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 in Computer Science or a relevant field
Three or more years 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
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
Understanding of standard methodologies for large‑scale application design, SOA, microservices, distributed compute, containers, and the use of the cloud
Understanding of how to deliver into production GenAI applications that can reliably process information in open‑ended settings
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
Hard Skills
Python
Software Deployment
Performance Tuning
PEP8 Coding Standards
Scalable Application Design
Distributed Computing
Containers
GenAI Application Development
Data Handling at Scale
Validation and Verification
Soft Skills
Attention to Detail
Collaboration
Adaptability in Fast‑Paced Environments
Certifications & Qualifications
Bachelor’s or Master’s in Computer Science or Relevant Field