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