Artificial Intelligence Engineer

E-Solutions; Bentonville (AR); On-site; USD 100,000 - 130,000; Full time

Job summary

A technology consultancy is seeking an AI/ML Engineer in Bentonville, AR for a long-term contract. The role involves architecting and deploying an AI chatbot, applying engineering techniques to enhance performance, and collaborating with cross-functional teams to meet merchant needs. Ideal candidates should have hands-on experience with LLMs, strong problem-solving skills, and proficiency in Python, Docker, and Kubernetes.

Qualifications

• Hands-on experience with large language models (LLMs) and chatbots.
• Strong understanding of testing and evaluation methods for AI agents.
• Proficiency in Python for AI/ML development.

Responsibilities

• Architect, develop, and deploy an AI-powered chatbot for sales analysis.
• Apply prompt engineering techniques to improve query handling.
• Collaborate with product managers and business stakeholders.

Skills

Hands-on experience with LLMs, AI Agents, and Chatbots

Strong understanding of testing methods for LLM-powered agents

Proficiency in LangChain and LangGraph

Familiarity with FastMCP and MCP

Proficiency in Python

Experience with FastAPI

Proficiency with Docker and Kubernetes

Strong problem-solving and communication skills

Ability to learn complex systems

Job description

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 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.

Seniority level

• Mid-Senior level

Employment type

• Contract

Job function

• Information Technology

Industries

• IT Services and IT Consulting and Retail