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Ai Applications Engineer Jobs in Fort Mill, SC (NOW HIRING)

XPath Solutions

Generative AI Engineer

Charlotte, NC · On-site

$150 - $200/hr

Text‑based AI applications * Image‑based AI applications * Multimodal AI applications * Develop and optimize advanced prompt engineering strategies to improve LLM performance, accuracy, and ...

Merican

AI Observability Engineer

Charlotte, NC · On-site

AI Observability Engineer Location: Charlotte, NC / Philadelphia, PA We are looking for an ... Design and develop enterprise-grade Generative AI applications using OpenAI, AWS Bedrock, and ...

PartsSource

AI Application Engineer

Charlotte, NC

About the Job Opportunity We are seeking a skilled AI Application Engineer to design, develop, and ... Design and implement production-grade applications that integrate LLMs to deliver intelligent, user ...

PartsSource

AI Application Engineer

Charlotte, NC · On-site

About the Job Opportunity We are seeking a skilled AI Application Engineer to design, develop, and ... Design and implement production-grade applications that integrate LLMs to deliver intelligent, user ...

Apex Systems

AI Engineer

Charlotte, NC · On-site

Job#: 3049612 AI Engineer Location: Charlotte, NC (Partial Remote) Role Overview We are seeking a ... Deploy and support scalable AI applications using Kubernetes-based container environments.

New

Datum Technologies Group

AI / ML Engineer

Charlotte, NC · On-site

Datum Technologies Group is seeking an AI Engineer specializing in Conversational AI and IVR. The ... Preferred : • Experience with NLP for conversational AI applications. • Familiarity with speech ...

Apex Systems

AI Engineer

Charlotte, NC · On-site

$150 - $200/hr

Role Overview We are seeking a Senior AI Engineer to design and build enterprise AI search ... Deploy and support scalable AI applications using Kubernetes-based container environments.

New

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All JobsAi Applications Engineer JobsAi Applications Engineer Jobs in Fort Mill, SC

Ai Applications Engineer information

See Fort Mill, SC salary details

$44.4K

$97.3K

$133.6K

How much do ai applications engineer jobs pay per year?

As of Sep 7, 2026, the average yearly pay for ai applications engineer in Fort Mill, SC is $97,276.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,800.00 and $118,600.00 per year, depending on experience, location, and employer.

What is an AI applications engineer?

AI Applications Engineers are professionals who design, develop, and integrate artificial intelligence (AI) solutions into software applications to solve real-world problems. They work closely with data scientists, software engineers, and business stakeholders to build and deploy machine learning models, automate processes, and enhance user experiences. Their responsibilities often include selecting appropriate AI technologies, writing code, testing models, and optimizing performance. AI Applications Engineers play a key role in translating AI research and prototypes into scalable and maintainable products used in industries like healthcare, finance, retail, and more.

What are the key skills and qualifications needed to thrive as an AI applications engineer?

To thrive as an AI Applications Engineer, you need strong programming abilities (Python, Java, or C++), a solid understanding of machine learning algorithms, and a relevant degree in computer science or engineering. Familiarity with AI frameworks (such as TensorFlow or PyTorch), cloud platforms, and data processing tools is typically required, along with certifications in machine learning or AI. Excellent problem-solving, collaboration, and communication skills help you translate business needs into effective AI solutions and work efficiently with cross-functional teams. These skills are critical for building scalable, reliable AI systems that deliver tangible value to organizations.

How does an AI applications engineer typically collaborate with data scientists and software developers on project teams?

As an AI Applications Engineer, you will often serve as a bridge between data scientists, who build and optimize machine learning models, and software developers, who integrate these models into production systems. Collaboration usually involves translating model requirements into scalable application features, ensuring model outputs align with user needs, and troubleshooting technical challenges that arise during deployment. Regular meetings, code reviews, and shared documentation are common practices to keep everyone aligned and ensure seamless integration. This cross-functional teamwork enhances both the technical robustness and usability of AI-powered applications.

What is the difference between Ai Applications Engineer vs Data Scientist?

AspectAi Applications EngineerData Scientist
Required CredentialsBachelor's in CS, Engineering, or related; knowledge of AI/ML toolsBachelor's or higher in CS, Statistics, or related; strong analytical skills
Work EnvironmentDevelops AI solutions, collaborates with engineering teamsAnalyzes data, builds models, interprets results
Employer & Industry UsageTech companies, AI startups, R&D departmentsFinance, healthcare, tech, research institutions

While both roles involve AI and data, Ai Applications Engineers focus on developing and deploying AI solutions in engineering contexts, whereas Data Scientists analyze data to extract insights. The roles often overlap but differ mainly in their primary focus and application environment.

What does an AI applications engineer do?

An AI applications engineer designs, develops, and implements artificial intelligence solutions to solve specific business problems. They work with machine learning models, data processing, and programming tools like Python or TensorFlow, often collaborating with data scientists and software developers to deploy AI systems effectively.

What are popular job titles related to Ai Applications Engineer jobs in Fort Mill, SC?

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What job categories do people searching Ai Applications Engineer jobs in Fort Mill, SC look for?

The top searched job categories for Ai Applications Engineer jobs in Fort Mill, SC are:

What cities near Fort Mill, SC are hiring for Ai Applications Engineer jobs?

Cities near Fort Mill, SC with the most Ai Applications Engineer job openings:

Ai Applications Engineer jobs near you
Infographic showing various Ai Applications Engineer job openings in Fort Mill, SC as of August 2026, with employment types broken down into 72% Full Time, and 28% Contract. Highlights an 74% In-person, and 26% Remote job distribution, with an average salary of $97,276 per year, or $46.8 per hour.

Generative AI Engineer

XPath Solutions

Charlotte, NC • On-site

$150 - $200/hr

Other

Re-posted 24 days ago

Job description

Charlotte, United States | Posted on 07/15/2026

Dallas, TX or Charlotte, NC or Raleigh, NC

Role Overview

We are seeking a highly skilled Generative AI Engineer with a strong Python background to design, develop, and deploy cutting‑edge AI solutions. The ideal candidate will have hands‑on experience with Large Language Models (LLMs), Vision Language Models (Vision LLMs/VLMs), vLLM inference framework, prompt engineering, and modern Generative AI frameworks, along with proven expertise in building scalable AI applications for enterprise use cases.

This role focuses on developing Agentic AI systems, Retrieval‑Augmented Generation (RAG), multimodal AI solutions, and high‑performance LLM inference while integrating GenAI capabilities into production‑grade enterprise applications.

Mission

Design and deliver scalable, production‑ready Generative AI solutions leveraging modern LLMs, Vision LLMs, Agentic AI frameworks, RAG architectures, and cloud AI platforms to power intelligent enterprise applications.

Key Responsibilities Design and implement Generative AI solutions for:
  • Text‑based AI applications
  • Image‑based AI applications
  • Multimodal AI applications
  • Develop and optimize advanced prompt engineering strategies to improve LLM performance, accuracy, and reliability.
  • Build and integrate embedding‑based retrieval systems and Retrieval‑Augmented Generation (RAG) pipelines.
Design and implement Agentic AI applications including:
  • Context management
  • Session and memory handling
  • Tool calling and workflow orchestration
  • Deploy and optimize vLLM for high‑throughput, low‑latency LLM inference in production environments.
  • Build scalable APIs using Python and integrate GenAI capabilities into enterprise applications and workflows.
  • Collaborate with cross‑functional teams to deploy AI solutions at scale.
  • Ensure AI solutions are secure, scalable, reliable, and production‑ready.
Required Qualifications Programming
  • Strong proficiency in Python

Solid experience with AI/ML frameworks including:

  • PyTorch
  • TensorFlow
Agentic AI

Hands‑on experience building multi‑agent AI systems, including:

  • Session management
  • Memory handling
  • Tool integration and orchestration

Practical experience with:

  • vLLM for optimized LLM serving and inference
Retrieval & Search

Experience with:

  • Embeddings
  • Retrieval‑Augmented Generation (RAG)
  • Semantic Search

Experience with one or more:

  • AWS SageMaker
MLOps
  • Understanding of MLOps and LLMOps practices
  • Experience deploying scalable AI applications in production
Preferred Qualifications
  • Experience with multimodal AI systems combining text, images, and documents

Knowledge of AI ethics, including:

  • Responsible AI practices
  • Experience designing AI systems with governance, transparency, and compliance in mind
  • Experience with distributed GPU inference, model optimization, quantization, and high‑performance AI serving
  • Familiarity with frameworks such as LangChain, LangGraph, LlamaIndex, CrewAI, or AutoGen
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