Posted 2mo ago

AI Engineer

@ SMC³
Peachtree City, Georgia, United States
OnsiteFull Time
Responsibilities:transform models, build agents, deploy APIs
Requirements Summary:3-5 years in ML/AI, strong Python, production-level services, LLMs/agents, databases, Azure; bachelor’s or master’s in a quantitative field.
Technical Tools Mentioned:Python, MongoDB, MariaDB, Azure, LLMs, Prompt engineering, Agent-based systems, SQL, NoSQL, APIs, Data pipelines
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Job Description

Position Summary

We are seeking an AI Engineer with 3+ years of experience to join our Data Science team. This role focuses on translating advanced analytics, machine learning models, and AI solutions into production-ready data products that enhance SMC3 offerings, such as RateWare Plus, Bid$ense, and LTL APIs. You will work closely with data scientists to move ideas from prototype to production, with a strong emphasis on LLMs, agents, and intelligent systems.


Key Responsibilities

  • Partner with data scientists to transform models and AI solutions into scalable, production-ready systems.
  • Create intelligent agents and models to support contract understanding, bid and pricing intelligence, and LTL shipment lifecycle management.
  • Develop AI capabilities to enhance core products and APIs in partnership with product and engineering teams.
  • Prepare and manage data pipelines from sources such as MongoDB and MariaDB.
  • Evaluate model performance to ensure quality output. Implement model and prompt versioning, reproducibility practices, and evaluation workflows at the model layer.
  • Collaborate with engineering and DevOps teams to support deployment with need.
  • Deliver models through APIs and services using Python based frameworks.

Qualifications

  • Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field.
  • 3 to 5 years of experience in machine learning, AI, or related engineering roles.
  • Strong Python skills and experience building production-level services.
  • Experience with the following:
  • LLMs, prompt engineering, and agent-based systems
  • Machine learning models
  • SQL and NoSQL databases
  • Cloud environments, such as Azure
  • Taking models from prototype to production-ready state
  • Solid understanding of data science and software design
  • Strong collaboration and communications skills

Additional Competencies

  • Self-Directed
  • Problem Solving
  • Interpersonal Skills
  • Strong Written and Verbal Communication Skills
  • Accuracy/Attention to Detail
  • Adaptability
  • Dependability




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