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# Generative AI Engineer

- **Company:** Everforth Apex
- **Location:** Jersey City, NJ, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Amazon S3, Microsoft Azure, Computer Programming, Data as a Services, Python (Programming Language), Object-Oriented Software Development, OpenShift, Oracle Databases, Oracle (Applications), Redis, Search Technologies, Software Engineering, SQL Databases, Systems Integration, Chatbots, Large Language Models, Multi-Agent Systems, Prompt Engineering, Generative AI, Git, Kubernetes, Virtual Agents, Restful APIs, Microservices
- **Published:** September 26, 2026
- **Apply:** https://www.dice.com/job-detail/2bebba34-0128-4006-bcd5-bc029d40d00f

## About the Role

* 7+ years of software development experience.
 * 3+ years of hands-on experience with Generative AI and Large Language Models.
 * Experience with RAG architectures, prompt engineering, embeddings, vector search, and agentic AI frameworks like LangChain or LangGraph.

Technical Skills:

 * Proficiency in Python, SQL, and REST API development.
 * Strong understanding of object-oriented design and microservices architecture.
 * Familiarity with Git, CI/CD tools, OpenShift/Kubernetes, Redis, Oracle, and S3 Storage.
 * Knowledge of LLM integration, Agentic AI, MCP Frameworks, and Vector Search.

Preferred Qualifications

 * Experience building solutions with OpenAI, Azure OpenAI, or enterprise-hosted LLMs.
 * Knowledge of Redis Vector Databases, MCP (Model Context Protocol), and Starburst.
 * Experience with Document Intelligence platforms.
 * Experience in Banking, Treasury, Finance, Risk, or Regulatory domains.
 * Familiarity with enterprise security and entitlement frameworks.
 * Programming experience in Java.

## Description

We are seeking a Generative AI Solution Developer to design, develop, and implement advanced GenAI applications. This role involves building conversational AI, developing AI-powered automation, and creating multi-agent workflows. The ideal candidate will contribute to platform engineering, ensuring solutions are accurate, scalable, and cost-efficient while adhering to governance and compliance standards., * Design and develop GenAI applications and conversational AI solutions using Large Language Models (LLMs).

 * Implement Retrieval-Augmented Generation (RAG) solutions using enterprise knowledge repositories.

 * Build and maintain knowledge bases for business-specific domains.
 * Design and implement multi-agent workflows using frameworks such as LangGraph.
 * Develop integrations with Oracle databases, Starburst, S3 repositories, and internal data services.
 * Develop microservices and APIs, and implement containerized applications on OpenShift.
 * Build automated CI/CD pipelines and improve platform reliability, observability, and monitoring.
 * Develop testing frameworks for AI solutions and support responsible AI practices.


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