About Sentient

At Sentient, we’re pioneering the decentralized artificial general intelligence (AGI) frontier, breaking free from the constraints of centralized AI models. Our cutting-edge platform is designed to democratize AI development, empowering communities to collaboratively train and control AI models in a truly open and accessible ecosystem.

Fueled by our expertise in distributed systems, cryptography, and AI, we’re building a game-changing environment that fosters open-source development and ensures fair value distribution. Say goodbye to the monopolies of the past – Sentient’s decentralized network promotes model composability and adherence to our foundational principles of transparency, trust, and inclusivity.

Imagine being part of a team that’s shaping the future of AGI, where innovation knows no boundaries, and the collective intelligence of global communities drives progress. Join us on this exhilarating journey as we redefine the AI landscape, unleashing the full potential of trustless, decentralized AGI.

Sentient is backed by leading Silicon Valley venture capital firms including Founders’ Fund, Pantera, and Framework.

What you'll do

• Design, implement, and maintain fault-tolerant core infrastructure for Sentient’s AI platform
• Architect and manage robust performance-critical backend services on AWS and GCP
• 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
• Collaborate with the product and other engineering teams to make data available via REST and Websocket APIs for AI products
• Deploy and scale AI workloads for AI research experimentation
• 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 ensure reproducibility and transparency

Qualifications

• 5+ years hands-on experience in end-to-end infrastructure setups for large applications or at startups
• Familiarity with Infrastructure as Code (Terraform, CDK, Cloud Deployment Manager)
• Expertise in containerization (Docker) and orchestration (Kubernetes, EKS, GKE)
• 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
• Expertise in a lot of the AWS and GCP services including:
  • 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

• 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