Overview
On Site
$60 - $65
Accepts corp to corp applications
Contract - Independent
Contract - W2
Contract - 12 Month(s)
Able to Provide Sponsorship
Skills
AI/ML
Chatbot
LLM
CI/CD
Docker
Job Details
Job Title: AI/ML Engineer with Chatbot
Min 5-7 years experience is required .
Location : Bentonville, AR
Onsite Requirement Y
Mandatory skill
Kubernetes; LLMs, Python, Model Context Protocol, APIs, LangChain, Chatbot
Description: We are seeking an AI/ML Engineer to design and develop an intelligent chatbot AI Agent that empowers merchants to analyse sales performance and make data-driven decisions.
The solution will leverage LLMs, prompt engineering, and MCP-based tools (including FastMCP) to enable natural language queries, dynamic data retrieval, and actionable insights from Sam s Club sales data.
Responsibilities:
- Architect, develop, and deploy a chatbot AI Agent to support merchants in analysing sales performance and decision-making.
- Apply prompt engineering techniques to improve query handling, ensure accurate responses, and optimize LLM interactions.
- Build AI agent workflows leveraging LangChain, LangGraph, and FastMCP for tool integration and orchestration.
- Integrate MCP tools for dynamic data access, retrieval, and analysis.
- Fine-tune and optimize LLMs to handle merchant-specific queries with precision and efficiency.
- Design and implement testing strategies for AI Agents and LLM-based workflows, including evaluation of accuracy, reliability, and bias.
- Build APIs and microservices (using FastAPI) to support chatbot functionality and data pipelines.
- Deploy scalable solutions with Docker and Kubernetes, ensuring reliability and performance.
- Collaborate with product managers, data scientists, and business stakeholders to align AI solutions with merchant needs.
Required Knowledge & Skills:
- Hands-on experience with LLMs, AI Agents, Chatbots, and prompt engineering.
- Strong understanding of testing and evaluation methods for LLM-powered agents, including prompt validation, output reliability, and user feedback loops.
- Proficiency in LangChain and LangGraph for agentic workflows and orchestration.
- Familiarity with FastMCP and MCP (Model Context Protocol) for tool integration.
- Proficiency in Python for AI/ML development.
- Experience building services with FastAPI.
- Proficiency with Docker and Kubernetes for scalable deployments.
- Strong problem-solving and communication skills to bridge technical solutions with merchant use cases.
- Ability to adapt quickly, learn complex systems, and contribute effectively in a fast-paced environment.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.