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Full Stack AI/ML Engineer (Python + AI/ML)

Javen Technologies, IncFort Mill, SC🇺🇸United StatesPosted 3 Sept 2026

Why This Role Stands Out

Advance your career by building production-ready AI features and scalable enterprise solutions in a hybrid environment that offers significant impact and growth. If you're a skilled Python and AI/ML engineer with experience in LLMs, RAG, and full-stack development, you'll thrive in this dynamic role shaping the future of AI. Apply now to join a forward-thinking team and contribute to cutting-edge technology.

Quick Overview

Seniority
Mid Senior
Work mode
Hybrid
Location
Fort Mill, SC, United States
Posted
20 hours ago
AWSMLOpsAgileAzureGoogle CloudLLMPythonReact

Job Description

If you are interested in below position, please send your resume.

Full Stack AI/ML Engineer – Longterm  | Fort Mill, SC – Hybrid

We’re looking for a highimpact AI/ML Engineer who can build real, productionready AI features—not just prototypes. You’ll work across the stack using React, Python, LLMs, RAG, Cloud, APIs, and modern engineering practices to deliver enterprisegrade AI solutions.

What You’ll Work On

  • 13+ years of Experience
  • Build and deploy AI-powered features and agentic workflows for large-scale enterprise apps

  • Develop RAG pipelines, improve grounding, and boost LLM response accuracy

  • Create scalable APIs, backend services, and production ML pipelines

  • Work with LLMs, prompt engineering, evaluation frameworks, and model benchmarking

  • Optimize systems for performance, latency, scalability, reliability, and cost

  • Collaborate in architecture discussions, code reviews, and Agile teams

  • Explore emerging AI tech and help shape next-gen enterprise AI capabilities

What You Bring

  • Strong experience building AI/ML applications in production

  • Deep Python skills + hands-on API development

  • Experience with LLMs, RAG, prompt engineering, and ML model deployment

  • Familiarity with React or modern front-end frameworks

  • Cloud experience (AWS/Azure/Google Cloud Platform) and understanding of MLOps, CI/CD, monitoring

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