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Senior Backend Engineer

Remote
Market range (est.) $120k–$245k
◆ 8/10 aitechBackend Developerremote
About this role

Join Sentient as a Senior Backend Engineer to advance open-source AI development. Work on robust backend services and AI workflows in a remote, full-time role.

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

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

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
Conditions & Benefits

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
Job Details
Market range (est.)$120k–$245k
LocationRemote
AI Score★★★★★★★★☆☆ 8/10
PostedOct 6, 2026 (6d ago)
Tags & Skills
aitechBackend Developerremote
Tech Stack
PythonAWSGCPDockerKubernetesTerraform

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