Generative AI Engineer

Overview

On Site
Full Time
Part Time
Accepts corp to corp applications
Contract - W2
Contract - Independent

Skills

Employment Authorization
Audiovisual
Art
Data Collection
Evaluation
Collaboration
Use Cases
Scalability
Computer Science
Data Science
Machine Learning (ML)
Deep Learning
TensorFlow
PyTorch
Python
Prompt Engineering
Machine Learning Operations (ML Ops)
Problem Solving
Conflict Resolution
Transformer
Training
Open Source
Research
Generative Artificial Intelligence (AI)
Vector Databases
Artificial Intelligence
Cloud Computing
Amazon Web Services
Google Cloud Platform
Google Cloud
Microsoft Azure

Job Details

Hiring: W2 Candidates Only



Location: USA



Visa: Open to any visa type with valid work authorization in the USA

Job Description:

We are seeking a skilled and innovative Generative AI Engineer to design, develop, and deploy cutting-edge AI systems capable of generating high-quality content, such as text, images, audio, video, or code. The ideal candidate will have a strong background in machine learning, deep learning, and practical experience with state-of-the-art generative models like LLMs (e.g., GPT), diffusion models, or GANs.

Key Responsibilities:

  • Design, develop, and optimize generative AI models to meet specific product or research goals.
  • Fine-tune pre-trained models on domain-specific data to improve performance and relevance.
  • Build pipelines for data collection, preprocessing, training, and evaluation.
  • Integrate generative AI models into applications, APIs, or production systems.
  • Collaborate with product managers, data scientists, and engineers to define use cases and deliver solutions.
  • Monitor, evaluate, and improve model performance, scalability, and ethical considerations.
  • Stay up to date with the latest research, tools, and best practices in the generative AI space.
  • Document methodologies, experiments, and deliver clear technical reports.

Required Skills and Qualifications:

  • Bachelor's or Master's degree in Computer Science, Machine Learning, Data Science, or related field.
  • 5+ years of hands-on experience with machine learning and deep learning frameworks (TensorFlow, PyTorch).
  • Proven experience working with generative models such as LLMs, GANs, VAEs, or diffusion models.
  • Strong programming skills in Python; experience with APIs and cloud services is a plus.
  • Knowledge of prompt engineering, fine-tuning, and responsible AI practices.
  • Solid understanding of data pipelines, MLOps, and model deployment.
  • Excellent problem-solving skills, curiosity, and ability to work independently and collaboratively.

Preferred Qualifications:

  • Experience working with transformer architectures and large-scale model training.
  • Contributions to open-source AI projects or published research papers in generative AI.
  • Familiarity with vector databases, embeddings, and retrieval-augmented generation (RAG).
  • Experience deploying AI models to production in cloud environments (AWS, Google Cloud Platform, Azure).

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.