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AI Engineer

Job in Fort Mill, York County, South Carolina, 29715, USA
Listing for: Intellisoft Technologies
Full Time position
Listed on 2026-07-01
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 60 - 84 USD Hourly USD 60.00 84.00 HOUR
Job Description & How to Apply Below

AI Engineer

Location:

Fort Mill, SC

Duration: 12 Months

Client:
Apex

Restrictions:
No OPT, CPT & H1b Sub Vending

Pay Rate: $60/Hr on W2 without benefits Bill Rate: $84

Candidate must be authorized to work without sponsorship

Exclusive to Apex

Required Skills

Need experience end to end experience building and deploying AI tools into production Python and PySpark LLM and NLP tuning RAG building Full stack dev experience including UI Dev React and FAST API Azure ML Ops skills

Additional Skills

Duties:

  • Collaborate with product team to design, develop, and deploy AI enabled products into production
  • Guide the architecture, infrastructure, tools, and processes used to develop, maintain AI/ML products
  • Deeply understand a wide variety of algorithms to understand vulnerabilities, strengths, and weaknesses
  • Standardize, optimize and scale products in production environments
  • Design and implement scalable and efficient ML Ops pipelines for ingesting, processing, and storing large volumes of structured and unstructured data

Skills/Requirements (required)

  • Expert understanding and experience deployment to production AI/ML architectures, tools, and data infrastructure to public cloud platforms.
  • Experience in LLM, NLP, RAG development and tuning
  • Expert level programming skills including Python/PySpark.
  • Designing and building user interfaces using HTML, CSS, and JavaScript frameworks like React or Angular.
  • Strong understanding of cloud computing, containerization, and Dev Sec Ops  practices
  • Strong understanding of layers of software stack including API design, development and production deployment at scale.
  • Expert in data engineering and data orchestration best practices with large scale structured and unstructured data
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