Ai Engineer

Summary

Join our team as an AI Engineer specializing in generative AI and text-to-speech (TTS)! This role demands proficiency in TTS technologies and experience with diffusion models, LLMs, and advanced prompting. You will deploy and integrate AI solutions into production, utilizing cloud platforms like AWS/GCP. Key responsibilities include training and experimenting with TTS and diffusion models, developing prompts for LLMs, and integrating APIs. The ideal candidate possesses strong Python and AI library skills, experience with containerization and cloud deployments, and a proven track record in training and deploying AI models. A fully remote position is offered, with potential for extra bonuses.

Requirements

• Proficiency in Python and widely-used AI libraries: PyTorch, Diffusers, Accelerate
• Familiarity with TTS technologies, both open-source and proprietary solutions
• Familiarity with RVC, Coqui TTS and other TTS focused tools
• Strong experience in containerization and deployment (Docker, Kubernetes)
• Familiarity with cloud services (AWS/GCP) for hosting and scaling AI solutions
• Expertise with APIs integration, especially Claude, OpenAI, ElevenLabs or other similar TTS providers
• Basics of prompt engineering for LLMs and advanced prompting for image and video generation
• Familiarity with Huggingface ecosystem
• Proven track record in training & deploying TTS as well as generative AI models
• Strong experience in API integration and cloud-based deployments
• Willingness to work in a fast-paced and challenging environment

Responsibilities

• Utilize, train and experiment with TTS models
• Utilize and experiment with diffusion models (e.g., Flux dev, Flux schnell)
• Develop prompts for LLMs and optimize inputs for image and video generators
• Implement and deploy generative AI models using Docker and containerization tools
• Integrate APIs, including Claude and OpenAI, into scalable applications
• Work with cloud platforms (AWS/GCP) for AI model deployment and optimization

Preferred Qualifications

• Experience with complex multi-modal AI solutions
• Keeping up with the newest models trends and solutions on the market

Benefits

• Fully Remote Position
• Extra bonuses may be applicable