Generative AI Engineer

Title: Generative AI Engineer

Location: Houston TX

Duration: 12+ Months

Position Summary:

About the Role:

We are looking for a highly motivated and skilled Generative AI Engineer to join our AI/ML team. You will be responsible for designing, building, and deploying advanced generative models that leverage cutting-edge techniques in deep learning, NLP, and multimodal learning. Your work will directly contribute to products and solutions that transform user experiences through content generation, automation, and intelligent interaction.

Key Responsibilities:

Develop, fine-tune, and deploy generative models (e.g., GPT, LLaMA, Stable Diffusion, DALL E, etc.)

Build scalable and efficient pipelines for training, evaluation, and inference of generative models

Collaborate with cross-functional teams (engineering, product, design, research) to integrate models into real-world applications

Stay current with research advancements in generative AI and propose innovative applications

Optimize model performance and reduce latency for production environments

Ensure ethical and responsible use of generative technologies, including bias mitigation and model interpretability

Contribute to documentation, code quality, and model governance best practices

Required Qualifications:

Bachelor's or Master's degree in Computer Science, Machine Learning, Mathematics, or related field (PhD preferred for research-focused roles)

Strong experience with deep learning frameworks (e.g., PyTorch, TensorFlow, Hugging Face Transformers)

Hands-on experience with LLMs, diffusion models, or VAEs in production or research

Solid programming skills in Python; familiarity with cloud platforms (AWS, Google Cloud Platform, Azure) is a plus

Familiarity with prompt engineering, fine-tuning, LoRA/QLoRA, and model compression techniques

Strong understanding of NLP, computer vision, and generative model architectures

Experience working with large-scale datasets and distributed training

Preferred Qualifications:

Published research in top AI/ML conferences (NeurIPS, ICML, CVPR, ACL, etc.)

Experience with retrieval-augmented generation (RAG), vector databases (e.g., FAISS, Pinecone), and prompt optimization

Exposure to multi-modal generative systems combining text, image, audio, or video

Experience building tools, APIs, or applications powered by generative AI

Why Join Us:

Work with cutting-edge generative AI technologies and shape the future of intelligent applications

Collaborate with world-class engineers and researchers in a fast-paced, innovative environment

Flexible work arrangements and competitive compensation

Opportunity to drive high-impact projects with real-world applications