Generative AI Engineer
Remote
Remote
As an employee of our partner company, you will design, develop, and deploy generative AI models and tools that enable intelligent content creation and automation. You’ll collaborate with engineers, designers, and product teams to build next-gen applications powered by LLMs, diffusion models, and other generative architectures. If you're excited by prompt engineering, fine-tuning models, and pushing the boundaries of creativity with AI—this is your place.
This role blends deep technical knowledge with creative exploration. The ideal candidate is self-driven, curious, and eager to experiment with new methods to solve real-world problems using generative AI.
Responsibilities
- Build and fine-tune generative AI models (e.g., LLMs, VAEs, GANs, diffusion models)
- Develop APIs and tools to integrate generative capabilities into applications
- Optimize performance, latency, and cost of deployed models
- Explore and implement prompt engineering, RAG, and few-shot learning techniques
- Stay updated with the latest in GenAI research and apply best practices
Must Have
- Bachelor’s/Master’s in Computer Science, AI, or a related field
- Hands-on experience with frameworks like Hugging Face, LangChain, or OpenAI APIs
- Strong understanding of LLMs, Transformers, and generative model architectures
- Proficiency in Python and relevant AI libraries (e.g., PyTorch, TensorFlow)
- Familiarity with deploying models in production environments
Nice to have
- Experience with diffusion models or multimodal generation (text-to-image, text-to-video)
- Knowledge of MLOps or cloud deployment (AWS/GCP)
- Contributions to open-source GenAI projects
- Experience building tools with prompt chaining, vector databases, or RAG pipelines
- Research papers or public demos showcasing generative AI work