Overview
Hybrid
Depends on Experience
Accepts corp to corp applications
Contract - W2
Contract - 12 Month(s)
75% Travel
Skills
Artificial Intelligence
Augmented Reality
Collaboration
Communication
Conflict Resolution
Decision-making
Docker
Evaluation
Kubernetes
LangChain
Machine Learning (ML)
Microservices
Microsoft Certified Professional
Natural Language
Orchestration
Problem Solving
Prompt Engineering
Python
Sales
Testing
Use Cases
Workflow
Job Details
Role: AI/ML Engineer
Location: Bentonville, AR (Hybrid)
Duration: 12+ Months
Description:
We are seeking an AI/ML Engineer to design and develop an intelligent chatbot AI Agent that empowers merchants to analyze 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 client s sales data.
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.
Thanks
Jaydeep Singh Raghav Empower Professionals
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