Generative AI Solution Developer

Randstad

Jersey City, NJ, United States

5 days ago

Apply on www.dice.com

Prepare application

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Experienced

Experience required

3 years minimum

Compensation

$113,610.0 - $134,410.0

Working hours

Regular working hours

Job source

www.dice.com

Tech stack

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

+26 more

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

Requirements

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