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Artificial Intelligence Engineer

Job in Atlanta, Fulton County, Georgia, 30383, USA
Listing for: Prestige Staffing
Full Time position
Listed on 2026-02-16
Job specializations:
  • IT/Tech
    AI Engineer, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below

We’re looking for an AI Engineer who is excited about building, deploying, and improving real-world AI systems. In this role, you’ll work on production-grade machine learning models and LLM-powered services that directly impact users. You’ll collaborate closely with product, engineering, and data teams to design scalable, reliable, and high-quality AI solutions.

Key Responsibilities
  • Design, develop, and deploy AI/ML models for production use
  • Build and maintain LLM-powered services and features (e.g., text generation, summarization, retrieval, agents)
  • Evaluate model performance using appropriate metrics and experimentation techniques
  • Monitor, troubleshoot, and improve production AI/ML systems over time
  • Write clean, maintainable, and well-tested Python code used by other engineers
  • Collaborate on system design, API contracts, and best practices for AI-powered applications
  • Stay up to date with advancements in AI/ML and apply them pragmatically to products
Required Qualifications
  • Strong foundation in AI/ML concepts, including model evaluation, validation, and performance trade-offs
  • Hands-on experience working with production AI/ML models
  • Experience creating and deploying LLM-powered services and features
  • Strong proficiency in Python and writing high-quality, maintainable code
  • Experience with common ML libraries and frameworks (e.g., PyTorch, Tensor Flow, scikit-learn)
  • Familiarity with APIs, microservices, and production infrastructure
Nice to Have
  • Experience with prompt engineering, RAG pipelines, or fine-tuning LLMs
  • Experience with MLOps tools (e.g., model monitoring, CI/CD for ML, feature stores)
  • Cloud experience (AWS, GCP, or Azure)
  • Experience working in cross-functional product teams
  • Knowledge of data engineering or distributed systems
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