Senior Backend Engineer

About this role

About Sentient Sentient is advancing and empowering the development of open-source artificial general intelligence (AGI). We build research, products, and frameworks that help developers and researchers to push the boundaries of AI in the open. Our mission is to enable a future where the development of AGI is shaped by a broad community of contributors. Backed by leading investors including Founders Fund, Pantera, and Framework, we’re bringing together a team to tackle fundamental challenges in open-source AI. Join us to help build the tools and technology that make this future possible. 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