Senior Backend Engineer

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