AI Engineer
Role details
Job location
Tech stack
Requirements
7+ years of professional software engineering experience in actively developing large scale software using: .Net, cloud development, and Web Services supporting high volume transactions in a highly available environment. 2+ years of hands-on experience with AI/ML implementation and production deployment 6+ years of experience working with containers and microservices in the cloud. 6+ years of experience in cloud deployment in a continuous integration, and continuous delivery model (CI/CD). 2+ years of experience with Pivotal Cloud Foundry (PCF), or AWS or Google Cloud Platform. 2+ years experience working with databases like MongoDB, Aerospike, and/or PostgreSQL. 2+ years Prior experience in IT Transformations and system modernization initiatives from legacy to distributed platforms, i.e., Mainframe Cobol apps/DB2 .Net apps/SQL or MongoDB Hands-on experience with Large Language Models (e.g., GPT-5, Claude, Gemini, PaLM) Domain Expertise: Understanding of broker-dealer capabilities and operations. Communication: Excellent communication skills; proven ability to communicate and lead other engineers in a collaborative environment Execution Focus: Collaborative mindset coupled with a bias for action to effectively engage with fellow developers, Architects, and adjacent teams, etc.