Java developer with AI Integration

Enterprise Engineering Inc. (EEI) · New York, NY New
LinkedIn

Posted

Jul 14, 2026 (Yesterday)

Seniority

Not Specified

Work Model

On-site

Type

Not Specified

Category

Data & ML

Salary

Not specified

Skills

Agile Docker Hadoop Java Kafka Linux Microservices Oracle Python Redis Scala Spark

Description

Java/AI Developer 3 days on site work in NYC, NY Onsite Interview Required Long Term Consulting Assignment ***MUST have Fraud environment experience ***NO Third Party or Agency Resumes please Fraud team is seeking a hands-on innovation- driven Java Developer who can actively leverage AI- powered tools across SDLC to design, build and scale next generation Fraud detection solutions. Someone who thrives in ambiguity. A builder and problem- solver – not just a coder Someone who innovates at speed and scale Java developer who can adopt AI tools for SDLC Experience level 8-10 years Need hands on technologists to solve green field problems and innovate at acceleration and scale. Skills Required Commercial experience of core Java programming with strong proficiency Experience of working with a functional programming language Fundamental knowledge of Microservices Understanding of distributed system design and infrastructure Strong experience with distributed caching (REDIS) and relational databases, preferably with MSSQL, Oracle, Sybase IQ Good Exposure to middleware- Kafka, MQ Experience of working in a Linux environment Strong analytical and problem-solving skills Strong oral and written communication skills Excellent interpersonal skills and professional approach Ability to work effectively in a global and dynamic team Skills Desired Experience in the full software development life cycle Experience working in an agile team using Agile and DevOps practices & tools Experience working with Continuous Integration systems Experience with scheduler like Cron, Autosys, Control-M Experience with cloud-ready development, Docker containers Good to Know Scala Functional Programming (Willingness to learn) Good to have knowledge of automation and scripting languages (Python preferred) Good to have knowledge of Big Data – Hadoop, Spark etc.