AI Engineer (TTS focused + Generative AI)

We are looking for an AI Engineer with expertise in generative AI and text-to-speech (TTS) technologies. This role requires proficiency in TTS technologies, additionally knowledge in diffusion models, LLMs, and advanced prompting for LLMs, image and video generators, as well as hands-on experience in deploying and integrating AI solutions to production.

Key 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.

Requirements

• Technical Skills:
• 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.
• Experience:
• 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.

Preferred Qualifications (Optional):

• 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.