Job Title: Full-stack Agentic AI Developer Location: 100% remote Job Summary: • 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, Lang Graph, Python/PySpark with exposure to AWS RDS, PostgreSQL, Lambda, AWS SageMaker, and UI development using front-end technologies (React/Angular/Srteamlit) being a plus. • You will play a key role in designing robust agentic solutions to support on-demand insights and dashboards Key Responsibilities • Conceptualize, 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 insights • Work closely with client SME to develop innovative Agentic AI solutions that improve efficiency, accuracy, and (restaurant)business outcomes • Conduct experiments using LLMs to harden the prompts for the best possible results for various business scenarios and recommend an optimal implementation approach, keeping the performance & ROI in mind • Build, 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 the last 2+ years of extensive implementation experience in GenAI or Agent AI tech stack • Excellent programming skills and proficiency in programming languages/frameworks, AI/Agentic AI orchestration, such as Lang Graph, Python, PySpark, or Java • Hands-on experience in writing efficient SQL queries and the ability to debug them using SQL developer tools • Hands-on exposure to tuning at least one of the popular LLMs (OpenAI GPT, Gemini, Claude) • Thorough understanding of prompt engineering; implementation exposure to LLM agents like Lang Chain & vector databases, Pinecone or Chrom, or FAISS • Decent exposure to developing User Interface components using one of the UI technologies, such as React, Angular, or Streamlit Good to Have: • Hands-on exposure to using cloud AWS services for storage, serverless logic, search, transcription, and chat • Experience with classic AI development using Regression or NLP techniques • An understanding of MLOps/LLMOps platforms (e.g., MLFlow) and how it is used in model development & deployment Preferred Qualifications: • Bachelor’s degree in Computer Science, Mathematics, Statistics or related field.