Software Engineer

PROPERTY CONSULTANT FIN SVC
Dallas, TX, United States
3 months ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
1 year minimum
Working hours
Regular working hours
Job source

Tech stack

Java (Programming Language) Application Programming Interfaces (APIs) Artificial Intelligence Client Server Models Databases DevOps MongoDB NoSQL Software Engineering Cloud Platform System Spring-boot Generative AI
+5 more
Apigee Deployment Automation Apache Kafka Docker Microservices

Requirements

5+ years of Software Engineering experience 5 years of experience in Application Development using Java and Microservices 3+ years of experience using Java, Spring Boot Exposure in Devin Deployment Need candidates who use AI tools effectively. Don’’'’t need person to develop AI tools

Desired Qualifications: 1+ years of experience using generative AI technologies using OpenAI standard APIs Experience of vector database is preferred Experience on Kafka, Apigee and containers like docker, k3s 3+ years of Mongo/No SQL DB experience 3+ years of experience with secure DevOps and deployment automation to cloud environments Understanding of technology architecture: distributed and client server technologies Strong analytical skills with high attention to detail and accuracy Excellent communication and teamwork skills, be self-directed, self-motivated, committed, and a quick learner

About the company

This role is part of the Enterprise Content Management (ECM) team and focuses on Intelligent Document Services (IDOCS)-one of the most robust, high-scale production platforms in the enterprise with 10+ Billion documents in repository. You will help build and evolve next-generation AI solutions used every day across the bank. In this role, you will lead the architecture and design of modern systems that are reusable, scalable, efficient, and resilient. You will work hands-on with cutting-edge AI technologies and latest AI models to transform document operations such as classification, extraction, validation, and enrichment. This position offers significant AI research and innovation opportunities. You will help shape how new AI tools and technologies are adopted and scaled across the enterprise.

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