AI Engineer

Prophecy Technologies

$125K — $150K *
US-AnywhereRemote in United States
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 6-8 years of experience in AI and Machine Learning
  • Strong fundamentals in Machine Learning, Deep Learning, and Statistics
  • Proficient in Python and popular ML frameworks like TensorFlow, PyTorch, and Scikit-learn
  • Experience with LLMs and Generative AI frameworks
  • Familiarity with Cloud platforms such as Azure, AWS, or GCP
  • Knowledge of API integration, microservices, Docker, and Kubernetes
  • Strong analytical and problem-solving skills

Responsibilities

  • Design, build, train, evaluate, and deploy machine learning and deep learning models
  • Develop LLM-based solutions, including prompt engineering and fine-tuning
  • Perform data preprocessing and feature engineering
  • Deploy AI solutions using MLOps, CI/CD, Docker, and Kubernetes
  • Integrate AI models into microservices and enterprise platforms
  • Collaborate with teams to translate business requirements into AI use cases
  • Ensure compliance with security and responsible AI standards

Benefits

  • Opportunity to work with cutting-edge AI technologies
  • Collaborative work environment with cross-functional teams
  • Focus on solving real-world enterprise problems
  • Involvement in the development of ethical AI solutions
  • Continuous learning and professional development opportunities
  • Access to cloud resources and modern development tools
Full Job Description
Role Overview:

We are seeking a highly skilled AI Engineer to design, develop, deploy, and scale Artificial Intelligence and Machine Learning solutions that drive measurable business outcomes. This role focuses on applying ML, Deep Learning, and Generative AI capabilities to solve complex enterprise problems and integrate AI solutions into production systems.

Key Responsibilities:
  • Design, build, train, evaluate, and deploy machine learning and deep learning models
  • Develop LLM-based solutions including prompt engineering, RAG, embeddings, and fine-tuning
  • Perform data preprocessing, feature engineering, and model validation
  • Deploy AI solutions using MLOps, CI/CD, Docker, and Kubernetes
  • Integrate AI models into microservices and enterprise platforms
  • Collaborate with business and delivery teams to translate requirements into AI use cases
  • Ensure compliance with security, privacy, and responsible AI standards

Required Skills:
  • Strong fundamentals in Machine Learning, Deep Learning, and Statistics
  • Proficiency in Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn)
  • Experience with LLMs and Generative AI frameworks
  • Exposure to Cloud platforms (Azure/AWS/GCP)
  • Knowledge of APIs, microservices, Docker, Kubernetes
  • Strong analytical and problem-solving skills
  • Excellent communication and stakeholder management
  • Continuous learning mindset

Qualifications:
  • 6-8 years of experience

Preferred Skills:
  • Experience in Retail or Enterprise Transformation programs
  • Knowledge of MLOps and Model Governance
  • Exposure to Agile delivery environments

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