Pay Growth
?
out of 5
Not enough data
Not enough info to score pay or growth
Fullstack AI Engineer
Job
Robert Half
Miami, FL (In Person)
Full-Time
Review key factors to help you decide if the role fits your goals.
Job Security
?
out of 5
Not enough data
Calculating job security score...
Total Score
96
out of 100
Average of individual scores
Skill Insights
Compare your current skills to what this opportunity needs—we'll show you what you already have and what could strengthen your application.
Job Description
We are seeking a Fullstack AI Engineer to design, build, and deploy innovative AI-powered applications that solve complex business challenges. This role combines hands-on software engineering with client-facing consulting skills, making it ideal for someone who can move seamlessly from solution design to implementation and stakeholder engagement.
The ideal candidate will have strong experience in fullstack development, AI application architecture, and large language model (LLM) solutions, along with the ability to translate business needs into scalable technical outcomes.
Key ResponsibilitiesDesign, develop, and maintain fullstack AI applications using Python, SQL, and modern development frameworksBuild and optimize LLM-powered applications, including prompt workflows, agent orchestration, and production-ready AI featuresDevelop and enhance Retrieval-Augmented Generation (RAG) systems using vector databases and semantic searchIntegrate and orchestrate APIs across internal and third-party platformsDeploy and manage applications in cloud environments such as AWS, Azure, or Google CloudBuild, manage, and optimize containerized solutions using Docker and KubernetesCreate and support data engineering workflows and ETL pipelines for AI and analytics applicationsImplement Git-based development workflows and contribute to CI/CD pipelines for efficient software deliveryPartner with business stakeholders to gather requirements and define solution goalsTranslate business problems into technical architecture and implementation plansLead or support client workshops, demos, and solution walkthroughsDevelop rapid prototypes and proof-of-concepts to validate ideas and accelerate deliveryContribute to solution architecture and system design for scalable, secure, and high-performing AI applications
The ideal candidate will have strong experience in fullstack development, AI application architecture, and large language model (LLM) solutions, along with the ability to translate business needs into scalable technical outcomes.
Key ResponsibilitiesDesign, develop, and maintain fullstack AI applications using Python, SQL, and modern development frameworksBuild and optimize LLM-powered applications, including prompt workflows, agent orchestration, and production-ready AI featuresDevelop and enhance Retrieval-Augmented Generation (RAG) systems using vector databases and semantic searchIntegrate and orchestrate APIs across internal and third-party platformsDeploy and manage applications in cloud environments such as AWS, Azure, or Google CloudBuild, manage, and optimize containerized solutions using Docker and KubernetesCreate and support data engineering workflows and ETL pipelines for AI and analytics applicationsImplement Git-based development workflows and contribute to CI/CD pipelines for efficient software deliveryPartner with business stakeholders to gather requirements and define solution goalsTranslate business problems into technical architecture and implementation plansLead or support client workshops, demos, and solution walkthroughsDevelop rapid prototypes and proof-of-concepts to validate ideas and accelerate deliveryContribute to solution architecture and system design for scalable, secure, and high-performing AI applications