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