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
Skills Required
- 5+ years of hands-on experience developing large applications and designing end-to-end infrastructure
- Mastery of Python
- Expertise with AWS services including EC2, Lambda, VPC, Cloud VPN, Transit Gateway, S3, EBS, RDS, DynamoDB, ECS, ECR, API Gateway, CloudWatch, and CloudTrail
- Expertise with GCP services including Compute Engine, Cloud Functions, VPC, Cloud Interconnect, Cloud Storage, Persistent Disk, Cloud SQL, Bigtable, GKE, Google Artifact Registry, Cloud Run, Cloud Monitoring, and Cloud Audit Logs
- Expertise in Docker and Kubernetes, including EKS and GKE
- Familiarity with Infrastructure as Code using Terraform, CDK, or Cloud Deployment Manager
- Understanding of generative AI, LLMs, datasets, fine-tuning, and AI inference
- Problem-solving ability in ambiguous, fast-paced startup environments
- Passion for building AI products
What We Do
Community Built AGI
