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Artificial Intelligence Engineer

Job in Bentonville, Benton County, Arkansas, 72712, USA
Listing for: E-Solutions
Full Time position
Listed on 2025-10-31
Job specializations:
  • IT/Tech
    AI Engineer, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below

Overview

Job Title:

AI/ML Engineer

Location:

Bentonville, AR (Onsite)

Duration:
Long Term Contract

Responsibilities
  • Architect, develop, and deploy a chatbot AI Agent to support merchants in analyzing 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 Lang Chain, Lang Graph, 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 Lang Chain and Lang Graph 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.
Seniority level
  • Mid-Senior level
Employment type
  • Contract
Job function
  • Information Technology
Industries
  • IT Services and IT Consulting and Retail
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