Senior Backend Engineer

About the 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