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# Senior AI Engineer Full-Stack & Agentic Application Development || Miami, FL

- **Company:** Key2Source INC
- **Location:** Miami, FL, United States
- **Experience:** Expert
- **Contract:** Contract
- **Skills:** LangGraph Framework, JavaScript (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Software Applications, Application Services, Microsoft Azure, Continuous Integration, Cursor, Python (Programming Language), NoSQL, OpenAI, Next.js, Search Technologies, Software Engineering, SQL Databases, Systems Integration, TypeScript, YAML, Enterprise Software Applications, Spring Cloud, GitHub Copilot, LangChain, ReactJS, Retrieval-Augmented Generation, Large Language Models, Claude Code, Prompt Engineering, Llamaindex, Generative AI, AI Coding Agents, Backend, Agentic-AI, AngularJS, Front End Software Development, Google Gemini, Restful APIs, Semantic Kernel, Docker, Microservices
- **Published:** October 23, 2026
- **Apply:** https://www.dice.com/job-detail/69e86b77-6d58-4b56-a50f-7cbc952643c0

## About the Role

We are seeking a highly hands-on Senior AI Engineer who can independently design, build, test, and deliver enterprise-grade AI applications from concept to deployment-ready software.

The ideal candidate combines strong full-stack engineering with deep practical expertise in Generative AI, LLMs, RAG, agentic AI, modern AI frameworks, and AI-assisted software development. This role requires strong hands-on experience with Harness and modern CI/CD practices., * Strong Python development experience.

 * Strong JavaScript/TypeScript and modern frontend experience such as React, Next.js or Angular.
 * Hands-on experience with AI frameworks such as LangChain, LangGraph, LlamaIndex, Semantic Kernel or equivalent.
 * Strong understanding of LLMs, RAG, agentic AI, prompt/context engineering and model integration.
 * Experience with OpenAI, Azure OpenAI, Anthropic, Gemini, AWS Bedrock or comparable model platforms.
 * Experience with SQL/NoSQL databases and vector databases.
 * Strong API, microservices, Docker and Kubernetes knowledge.
 * Strong hands-on Harness CI/CD, pipeline-as-code/YAML, services, environments, connectors and pipeline troubleshooting experience.
 * Experience with Harness Skills and AI-assisted software delivery strongly preferred.

## Description

* Independently architect and build end-to-end AI-powered applications, including UI, backend, APIs, data and AI layers.
 * Develop solutions using LLMs, Generative AI, RAG, AI agents, embeddings and vector search.
 * Build agentic workflows integrating enterprise applications, APIs, tools and data sources.
 * Develop scalable APIs, microservices and cloud-native applications.
 * Implement automated unit, integration and AI application testing.
 * Use AI coding tools such as GitHub Copilot, Claude Code, Cursor, Codex or equivalent to accelerate engineering.
 * Build and maintain CI pipelines and application services using Harness.
 * Work closely with platform engineering to ensure applications are secure, observable and production-ready.