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.

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

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

Requirements

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

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