Senior Backend Engineer, AI

About Sentient At Sentient, we re pioneering the decentralized artificial general intelligence (AGI) frontier, breaking free from the constraints of centralized AI models. Our cutting-edge platform is designed to democratize AI development, empowering communities to collaboratively train and control AI models in a truly open and accessible ecosystem. Fueled by our expertise in distributed systems, cryptography, and AI, we re building a game-changing environment that fosters open-source development and ensures fair value distribution. Say goodbye to the monopolies of the past - Sentient s decentralized network promotes model composability and adherence to our foundational principles of transparency, trust, and inclusivity. Imagine being part of a team that s shaping the future of AGI, where innovation knows no boundaries, and the collective intelligence of global communities drives progress. Join us on this exhilarating journey as we redefine the AI landscape, unleashing the full potential of trustless, decentralized AGI. Sentient is backed by leading Silicon Valley venture capital firms including Founders Fund, Pantera, and Framework. Responsibilities Design, implement, and maintain fault-tolerant core infrastructure for the Sentient platform Architect and manage robust performance-critical backend services on AWS and GCP Implement serverless architectures and optimize cloud resource utilization Implement and maintain REST and Websocket APIs to provide data to AI applications Collaborate with cross-functional teams to define, design, and ship new features Design and deploy scalable, reliable, and secure end-to-end AI workflows for Sentient products, including fine-tuning and inference pipelines for generative AI models Design and implement custom AI agent frameworks and multi-agent systems from scratch Deploy, test, and follow proper release management processes to drive end-to-end services from dev to UAT to production Deploy services in accordance with security measures, including IAM, security groups, and encryption Write comprehensive documentation to ensure reproducibility and transparency Required Qualifications 5+ years hands-on experience in developing large applications and designing end-to-end infrastructure Demonstrated mastery of the Python programming language Expertise in a lot of the AWS and GCP services: Compute: EC2, GCE, Lambda, Cloud Functions Networking: VPC, Cloud VPN, Transit Gateway, Cloud Interconnect Storage: S3, Cloud Storage, EBS, Persistent Disk Databases: RDS, Cloud SQL, DynamoDB, Bigtable Containerization: ECS, GKE, ECR, Container Registry Serverless: Lambda, Cloud Functions, API Gateway, Cloud Run Monitoring: CloudWatch, Cloud Monitoring, CloudTrail, Cloud Audit Logs Expertise in containerization (Docker) and orchestration (Kubernetes, EKS, GKE) Familiarity with Infrastructure as Code (Terraform, CDK, Cloud Deployment Manager) Understanding of Generative AI, LLMs, datasets, fine-tuning, and AI inference Problem-solving mindset to navigate ambiguity in a fast-paced startup Passion for building revolutionary AI products Values Appreciate and pursue deep expertise Embrace extreme ownership and bias for action Want to take risks and act upon ambition with integrity and empathy Pursue relentless innovation and experimentation Invest in personal growth and team collaboration Benefits Competitive salary, equity, and insurance Flexible PTO and WFH policy Top-of-the-line engineers and technology Opportunity to shape the direction of a pioneering open AI platform