Relomote
Sentient logo

Senior Backend Engineer

SentientEngineering & Development
Hiring from
India
Work type
Remote
Posted
Is this job info correct?
Show job description

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

Similar jobs

Apply for this job