Generative AI Engineer

We are seeking a talented Entry-Level Generative AI Engineer to join our team. In this role, you will work with advanced AI tools and frameworks, including Hugging Face, LangChain, LLAMA, and OpenAI, to design and implement generative models that enhance our products and deliver business value. You will collaborate closely with data scientists, software engineers, and product managers, applying cutting-edge AI research to solve real-world problems.

Key Responsibilities:

• Design, implement, and optimize generative models (e.g., GANs, VAEs, transformers) for various applications.
• Utilize tools like Hugging Face, LangChain, LLAMA, and OpenAI’s GPT to develop innovative generative AI applications.
• Conduct research to drive advancements in generative AI and apply insights to practical solutions.
• Collaborate with cross-functional teams to integrate generative AI features into existing products.
• Analyze large datasets to extract insights and improve model performance.
• Participate in code reviews and contribute to a collaborative and learning-oriented team culture.
• Stay up-to-date with advancements in generative AI research and technologies.

Requirements

Education: Bachelor’s degree in Computer Science, Artificial Intelligence, or a related field.

Technical Skills:

• Basic knowledge of generative models, including GANs, VAEs, and transformers.
• Experience with tools such as Hugging Face, LangChain, LLAMA, and OpenAI’s API.
• Proficiency in Python and familiarity with AI/ML libraries (TensorFlow, PyTorch).

Soft Skills: Analytical mindset, strong problem-solving abilities, and effective communication.

Preferred Skills:

• Understanding of the LLAMA model and its applications.
• Experience with integrating APIs, especially those from OpenAI and Hugging Face.
• Familiarity with LangChain for building LLM-powered applications.