Full Stack Engineer for SaaS / AI project

  • April 23, 2024
  • Programming & Tech
  • Full time
  • Remote
  • 2000 to 3200 USD
Amazon Web Services (AWS)
English intermediate

We are seeking a talented Full Stack with strong Back End focus to join our team. As a Full Stack Engineer with a Strong Back End Focus, you will play a crucial role in designing and implementing scalable backend solutions for our SaaS/AI business. Leveraging your expertise in AWS, Amazon DynamoDB, Cognito, and other technologies, you will contribute to the development of backend systems and integration with cutting-edge AI services. Key Responsibilities: Back End Development: Design, develop, and maintain scalable backend solutions using AWS services, with a focus on Amazon DynamoDB for data storage. Implement business logic using AWS Lambdas for various functionalities, ensuring optimal performance and reliability. Manage user authentication and authorization processes using Amazon Cognito, integrating with backend Lambdas and provisioning users in DynamoDB. Collaborate with cross-functional teams to understand project requirements and contribute to architectural decisions. Integration with External Services: Collaborate with Replit for repository provisioning, handling voice calling logic, and integration with OpenAI, ElevenLabs, and Deepgram. Interface with ElevenLabs to manage voice usage, including choosing appropriate voice options. Integrate with Deepgram for voice processing and analysis. Front End Development: Collaborate with the frontend team using React and TypeScript to ensure seamless integration between the front and back ends. Utilize Amazon S3 with Cloudfront for efficient storage and content delivery. Work with DNS configurations, including management of domains purchased and stored in Namecheap, and primary DNS through Cloudflare pointing to Cloudfront. Requirements: Minimum ~4 years of experience Expertise in AI & SaaS highly valued Fast learner with a demonstrated ability to adapt and learn new technologies, particularly in the AI domain. Proven reliability and a track record of delivering high-quality code on time. Strong work ethic with the ability to efficiently get the job done. Commitment to producing clean, well-documented code.

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