Application Programmer

job summary:

• Design, develop, and oversee end-to-end implementation of the new GM GenAI platform and its related business use cases.

• Develop architectural approaches for AI software and hardware integration with emphasis on quality, performance, resiliency, and reusability.

• Collaborate with business and IT stakeholders to understand and fulfill business needs & objectives.

• Lead cross-disciplinary teams to deliver technical solutions that align with business priorities and expectations.

location: Pennington, New Jersey job type: Contract salary: $54.62 - 64.62 per hour work hours: education: Bachelors

responsibilities:

• Design, develop, and oversee end-to-end implementation of the new GM GenAI platform and its related business use cases.

• Develop architectural approaches for AI software and hardware integration with emphasis on quality, performance, resiliency, and reusability.

• Collaborate with business and IT stakeholders to understand and fulfill business needs & objectives.

• Lead cross-disciplinary teams to deliver technical solutions that align with business priorities and expectations.

qualifications:

• Experience implementing data analytics / AI solutions.

• Knowledge of machine learning frameworks like TensorFlow or PyTorch, LLM fine-tuning, Retrieval Augmented Generation (RAG) and tools for agentic solutions.

skills: AI,AI solutions,HTML/ CSS,data analytics,XML,FastAPI,Retrieval Augmented Generation (RAG),hardware integration,jQuery,JavaScript,LLM,machine learning,microservices,MongoDB,MySQL,NoSQL databases,Oracle,front-end languages,Python,PyTorch,React,relational databases,RAG,software development life cycle,SDLC,machine learning frameworks,TensorFlow,LLM fine-tuning,Unix scripting,Strong communication skills,Critical thinking and problem-solving,performance driven,automation,budget,business priorities,business needs,prototyping,data science,delivering projects,technical design,infrastructure,innovate,Mentor team members,application platforms,Conduct research,scalability,end-to-end implementation,testing,business use cases

Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.

At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact HRsupport@randstadusa.com.

Pay offered to a successful candidate will be based on several factors including the candidate’s education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including: medical, prescription, dental, vision, AD&D, and life insurance offerings, short-term disability, and a 401K plan (all benefits are based on eligibility).

This posting is open for thirty (30) days.

,

• Design, develop, and oversee end-to-end implementation of the new GM GenAI platform and its related business use cases.

• Develop architectural approaches for AI software and hardware integration with emphasis on quality, performance, resiliency, and reusability.

• Collaborate with business and IT stakeholders to understand and fulfill business needs & objectives.

• Lead cross-disciplinary teams to deliver technical solutions that align with business priorities and expectations.

AI,AI solutions,HTML/ CSS,data analytics,XML,FastAPI,Retrieval Augmented Generation (RAG),hardware integration,jQuery,JavaScript,LLM,machine learning,microservices,MongoDB,MySQL,NoSQL databases,Oracle,front-end languages,Python,PyTorch,React,relational databases,RAG,software development life cycle,SDLC,machine learning frameworks,TensorFlow,LLM fine-tuning,Unix scripting,Strong communication skills,Critical thinking and problem-solving,performance driven,automation,budget,business priorities,business needs,prototyping,data science,delivering projects,technical design,infrastructure,innovate,Mentor team members,application platforms,Conduct research,scalability,end-to-end implementation,testing,business use cases