Full Stack Engineern (AI/ML Experience) id-3128

As a Full Stack Engineer at Jenni.ai, you will be a core product builder, playing a vital role in developing and maintaining the features and infrastructure that power our AI writing assistant. While this role is primarily focused on full-stack development, any experience with large language models, prompt engineering, or machine learning is highly valued.

You will be comfortable working across the entire stack, from crafting intuitive user interfaces to building robust and scalable backend systems. You are passionate about creating high-quality, user-friendly products and thrive in a collaborative, fast-paced environment.

Responsibilities

• Design, develop, and maintain both front-end and back-end components of the Jenni.ai platform, ensuring a seamless and intuitive user experience.
• Create, deploy, and maintain robust API endpoints to support various features and functionalities of our AI writing assistant.
  • Integrate with third-party services and APIs as needed.
• Work with database systems (we use Firebase) to:
  • Efficiently store, retrieve, and manage data.
  • Optimize database performance and ensure data integrity.
• Collaborate with other engineers, product managers, and designers to:
  • Brainstorm ideas and plan features.
  • Deliver high-quality products.
  • Participate in code reviews and contribute to improving development processes.
• Write unit and integration tests to:
  • Ensure the reliability and stability of the platform.
  • Identify and resolve bugs and performance issues through quality assurance processes.
• Monitor and optimize the performance of the application across the entire stack, including:
  • Front-end rendering.
  • Backend API response times.
• Work with cloud platforms (such as Google Cloud Run or similar) and serverless architectures to:
  • Deploy and manage application infrastructure.
• Contribute to the development and improvement of AI-powered writing features by leveraging:
  • Knowledge of large language models.
  • Prompt engineering.
  • Model benchmarking.