Senior Backend Engineer

• 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 for 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, including generative AI fine-tuning and inference pipelines
• Design and implement custom AI agent frameworks and multi-agent systems from scratch
• Deploy, test, and manage releases from development through UAT to production
• Deploy services using security measures including IAM, security groups, and encryption
• Write comprehensive documentation for reproducibility and transparency

• 5+ years hands-on experience in developing large applications and designing end-to-end infrastructure
• Demonstrated mastery of the Python programming language
• Expertise in AWS and GCP services, including EC2, GCE, Lambda, Cloud Functions, VPC, Cloud VPN, Transit Gateway, Cloud Interconnect, S3, Cloud Storage, EBS, Persistent Disk, RDS, Cloud SQL, DynamoDB, Bigtable, ECS, GKE, ECR, Container Registry, API Gateway, Cloud Run, CloudWatch, Cloud Monitoring, CloudTrail, and Cloud Audit Logs
• Expertise in containerization with Docker and orchestration with Kubernetes, EKS, and GKE
• Familiarity with Infrastructure as Code using Terraform, CDK, and 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

• 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