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Senior Backend Engineer AI

Sentient India

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$90k - $150k · Senior Full-time Posted 7 months ago 3 min read

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.

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

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