> Markdown version of [/jobs/ext/3868977-application-programmer](https://www.wearedevelopers.com/jobs/ext/3868977-application-programmer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Application Programmer - **Company:** Randstad - **Location:** New York, NY, United States - **Salary:** $120,182.0 - $140,982.0 - **Contract:** Contract - **Skills:** JavaScript (Programming Language), Artificial Intelligence, Unix, Cascading Style Sheets (CSS), Relational Databases, Hardware Design, JQuery, Python (Programming Language), Machine Learning, MongoDB, MySQL, NoSQL, Oracle (Applications), Systems Development Life Cycle, Tensorflow, Software Engineering, Extensible Markup Language (XML), Pytorch, ReactJS, Retrieval-Augmented Generation, Transfer Learning, Large Language Models, Generative AI, Fastapi, Data Analytics, Programming Languages, Microservices - **Published:** October 22, 2026 - **Apply:** https://www.dice.com/job-detail/b7034838-e963-44b0-9060-ce814945e91d ## About the Role Extensive experience in designing & implementing multi-tier (including microservices) application platforms. - Proven ability to plan and lead delivery by a functionally diverse and geographically dispersed team. - Possess consistent record for delivering projects on time and on budget - High coding proficiency in Python and Unix scripting - In-depth knowledge of relational databases (e.g., Oracle, MySQL) and NoSQL databases (e.g., MongoDB), and large structured & unstructured dataset processing - Knowledge in full range of front-end languages, libraries & frameworks (e.g., HTML/ CSS, JavaScript, XML, React, jQuery) 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 ## Description 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.