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Job Summary:
Limitless is a company focused on enhancing human memory through innovative software and hardware solutions. They are seeking a Backend Software Engineer to design systems that help humans transcend biological limitations, specifically through projects involving machine learning pipelines and secure data handling practices.
Responsibilities:
• DevOps and GCP Infrastructure: Use your best practice knowledge and deep expertise of Google Cloud and Infrastructure as Code (Pulumi) to code and deploy highly available, highly scalable services to GCP, ensuring optimal performance and reliability.
• Integrate APIs: Work with 3rd party APls and internal services, creating seamless integrations to enhance our product offerings. Your role will involve architecting the backend interactions that support new features, ensuring they operate smoothly within our ecosystem.
• Prompt Engineering and ML Ops: Create, deploy, and manage AI/ML/LLM-driven pipelines and services to power our features and functionality while being mindful of Firestore limitations.
Qualifications:
Required:
• At least 5 years of solutions architecture experience on GCP
• Building large-scale distributed systems that have been used at scale by millions of users
• Demonstrated experience developing in TypeScript and Python
• Expert with infrastructure and deployment technologies like Docker and Pulumi
• Good understanding of machine learning
• Have deployed bespoke models
• Deep expertise with prompt engineering
• Comfortable with front-end to the extent that you can perform React and MobX-related UI work if needed
• Experience working at startups or on small teams
• Taking full ownership of your work
• Utilizing resourcefulness to devise innovative solutions
• Strong communication skills for articulating ideas clearly
• Collaborating efficiently
• Providing constructive feedback
Company:
Limitless develops AI-driven products to improve productivity, streamline processes, and deliver insights for businesses. Founded in 2020, the company is headquartered in Denver, Colorado, USA, with a team of 11-50 employees. The company is currently Early Stage.