Sr AI Full Stack Engineer

We are looking for a skilled and innovative AI Full Stack Engineer with strong expertise in Python, Large Language Models (LLMs), LangChain, LangGraph, Retrieval-Augmented Generation (RAG), and Agentic AI frameworks. The ideal candidate will design, develop, deploy, and optimize enterprise-grade Generative AI solutions, intelligent agents, and AI-powered applications that drive business value and operational efficiency.

Job title :Sr. AI Full Stack Engineer
Location: Tampa, FL – Onsite
Duration: 6+ Months
 
Salary Range: $40.00 - $37.00/Hour on W2 (Without Benefits).
Applicants must be willing to work on W2.
 
Job Summary
We are looking for a skilled and innovative AI Full Stack Engineer with strong expertise in Python, Large Language Models (LLMs), LangChain, LangGraph, Retrieval-Augmented Generation (RAG), and Agentic AI frameworks. The ideal candidate will design, develop, deploy, and optimize enterprise-grade Generative AI solutions, intelligent agents, and AI-powered applications that drive business value and operational efficiency. The candidate will also design modular prompt pipelines and build knowledge graphs to enhance AI reasoning capabilities.
Key Responsibilities

• Develop, maintain, and deploy AI applications using Python.
• Design and implement chain-of-thought prompt pipelines utilizing LangChain for modular, scalable AI workflows.
• Build and integrate knowledge graphs with LangGraph to improve data connectivity and reasoning.
• Design, build, and deploy AI applications leveraging LLMs such as GPT, Claude, Gemini, Llama, and other foundation models.
• Develop Agentic AI solutions capable of autonomous reasoning, planning, tool execution, and decision-making.
• Build multi-agent systems using LangGraph and LangChain frameworks.
• Implement RAG (Retrieval-Augmented Generation) architectures using vector databases and enterprise knowledge sources.
• Develop prompt engineering, context management, memory, and workflow orchestration strategies.
• Integrate AI agents with enterprise applications, APIs, databases, and business processes.
• Optimize AI model inference workflows, model performance, latency, scalability, cost, and reliability.
• Implement evaluation frameworks, guardrails, security controls, and responsible AI practices.
• Collaborate with Data Scientists, ML Engineers, Product Managers, Architects, and Software Engineers to deliver AI-driven features and solutions.
• Troubleshoot, debug, and update AI components as necessary.
• Monitor and continuously improve production AI systems through feedback loops and observability tools.
• Keep abreast of the latest advancements in AI technologies and promote best practices across the team.

Required Technical Skills

• Strong proficiency in Python and software engineering best practices.
• Hands-on experience with LLMs and Generative AI technologies.
• Experience building applications using LangChain and LangGraph.
• Deep understanding of Agentic AI, multi-agent systems, planning, memory, and tool-calling architectures.
• Experience implementing RAG, semantic search, embeddings, and vector databases.
• Knowledge of prompt engineering, fine-tuning, model evaluation, and AI governance.
• Experience with REST APIs, microservices, and cloud-native architectures.
• Familiarity with Git, CI/CD pipelines, and DevOps practices.
• Experience with cloud platforms such as Azure, AWS, or Google Cloud.
• 7+ years in Artificial Intelligence (AI).