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# Generative AI Solution Developer

- **Company:** Randstad
- **Location:** Jersey City, NJ, United States
- **Experience:** Experienced
- **Salary:** $113,610.0 - $134,410.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Amazon S3, Microsoft Azure, Business Software, Computer Programming, Databases, Continuous Integration, Data as a Services, Github, Information Retrieval, Python (Programming Language), Machine Learning, Object-Oriented Software Development, OpenShift, Oracle Databases, Oracle (Applications), Redis, Search Technologies, Software Engineering, SQL Databases, Systems Integration, Enterprise Data Management, Data Logging, Enterprise Software Applications, System Availability, Large Language Models, Multi-Agent Systems, Prompt Engineering, Generative AI, Git, AI Platforms, Kubernetes, Deployment Automation, Virtual Agents, Restful APIs, Microservices
- **Published:** September 28, 2026
- **Apply:** https://www.dice.com/job-detail/818846df-75b1-4f94-a33b-ee50fe465d8e

## About the Role

7+ years of software development experience.

 - 3+ years of hands-on experience with Generative AI and Large Language Models.

 - Strong proficiency in:

 - Python

 - REST APIs

skills:

AI platforms,S3,APIs,AI applications,AI components,AI,AI solutions,business applications,Programming,CI/CD,CI/CD Pipeline,logging,data services,databases,automated deployment,Enterprise Data,enterprise systems,Generative AI,GenAI applications,Retrieval-Augmented Generation (RAG),Git,GitHub,information retrieval,Java,Kubernetes,Large Language Models,LLMs,LLM Integration,Machine Learning,microservices,Microservices architecture,Azure,multi-agent,agent frameworks,Object-oriented design,OpenShift,Oracle,Oracle databases,prompt engineering,Python,Redis,REST APIs,REST API Development,semantic search,vector search,software development,SQL ,platform reliability,integrations,Agentic AI,testing frameworks,Banking,business data,business insights,assessments,responsible AI practices,Solution Development,enterprise security,Governance,model governance,Infrastructure,AI-powered automation,Knowledge Base,Knowledge Bases,Finance,evaluation metrics,Platform Engineering,production readiness,compliance
requirements,use cases,risk reviews,Risk,security,scalability,cost efficiency,tool selection,Vector Databases,workflows



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