Generative AI Engineer
3 days ago
Company Description
We are an innovation driven company focused on building intelligent, scalable, and privacy conscious AI solutions that empower businesses and creators. Our mission is to push the boundaries of what's possible with generative technologies transforming workflows, automating creative processes, and enhancing decision making with human centered design and cutting edge machine learning.
Role Description
This is a full-time remote role for a Generative AI Engineer. The Generative AI Engineer will be responsible for the development, testing, and deployment of generative AI models and systems. They will work on training data preparation, algorithm implementation, model fine-tuning, and performance evaluation. Additionally, the role involves collaborating with cross-functional teams, staying updated with the latest AI research, and documenting project progress.
Key responsibilities include:
- Building and fine-tuning generative models (LLMs, diffusion models, or multimodal systems)
- Implementing efficient training and inference pipelines
- Managing datasets and ensuring data quality and compliance
- Evaluating model performance using quantitative and qualitative metrics
- Collaborating across teams to align technical development with business goals
- Staying up-to-date with emerging research and technologies in AI and ML
Qualifications
- BS or higher
in Computer Science, Artificial Intelligence, Machine Learning, or a related field - Proven experience with
deep learning frameworks
(PyTorch, TensorFlow, or JAX) - Strong understanding of
transformers
,
diffusion models
, or
RLHF - Proficiency in
Python
and experience with
data preprocessing
and
model deployment - Familiarity with
cloud platforms
(AWS, GCP, or Azure) and
MLOps pipelines - Excellent problem-solving skills and ability to work in a fast-paced remote environment
- Strong written and verbal communication skills
Preferred:
- Experience contributing to open-source AI projects
- Familiarity with vector databases, LangChain, or RAG pipelines
- Understanding of prompt engineering and model evaluation techniques
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