Full-stack Agentic AI Developer / ConsultantJob Location: USA || 100% RemoteJob Type: ContractJob Description:We are looking for a skilled and motivated Full-stack Agentic AI Developer with at least 3 years of experience in building and maintaining scalable Gen AI or Agentic AI applications. The ideal candidate will have strong expertise in using LLMs like Claude on AWS Bedrock/Gemini/Open AI, LangGraph, Python/PySpark with exposure to AWS RDS, PostgreSQL, Lambda, AWS SageMaker and UI development using front-end technologies (React/Angular/Streamlit) being a plus. You will play a key role in designing robust agentic solutions to support on demand insights and dashboards.Key ResponsibilitiesConceptualize, design, validate and deploy Agentic AI based solutions leveraging Large Language Models(LLMs), MCP Servers(or AWS Strands) that can dynamically construct content for dashboards from structured or unstructured data to provide accurate insightsWork closely with client SME to develop innovative Agentic AI solutions that improve efficiency, accuracy, and (restaurant)business outcomesConduct experiments using LLMs to harden the prompts for best possible results for various business scenarios and recommend optimal implementation approach keeping the performance & ROI in mindBuild, validate (with an understanding of LLM specific success metrics) and maintain agent templates, configurable agent launch & orchestration layers.Required Skills:Overall 5+ years of industry experience with at least last 2+ years of extensive implementation experience in GenAI or Agent AI tech stackExcellent programming skills and proficiency in programming languages/frameworks AI/Agentic AI orchestration such as LangGraph, Python or PySpark or JavaHands-on experience in writing efficient SQL queries and ability to debug them using SQL developer toolsHands on exposure to tuning at least one of the popular LLMs(Open AI GPT, Gemini, Claude)Thorough understanding of prompt engineering; implementation exposure to LLM agents like LangChain & vector databases Pinecone or Chroma or FAISSDecent exposure to developing User Interface components using one of the UI technologies such as React, Angular or StreamlitGood to Have:Hands on exposure to using cloud AWS services for storage, serverless-logic, search, transcription and chatExperience with classic AI development using Regression or NLP techniquesAn understanding of MLOps/LLMOps platforms (e.g., MLFlow) and how it is used in model development & deploymentPreferred Qualifications:Bachelor’s degree in Computer Science, Mathematics, Statistics or related field.