Remote role · senior-b

Senior Backend Engineer

Sentient

Bangalore Software Development Full-time

Checked 7 hours ago

Before you apply

Role details

The practical picture

Work arrangement: Fully remote
Employment: Full-time

Work & location

Working hours: Flexible PTO and WFH policy

Experience & eligibility

Skills: Python
AWS
GCP
Docker
Kubernetes
Terraform
Generative AI
LLMs

Compensation & benefits

Benefits: Competitive salary, equity, and insurance
Equity: equity

Inside the role

Seniority: Senior
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

Role signal brief

The role, at a glance

Extracted from the source posting · 95% confidence

The Senior Backend Engineer role at Sentient focuses on designing and maintaining fault-tolerant core infrastructure and performance-critical backend services on AWS and GCP. The position involves implementing serverless architectures, REST and Websocket APIs, and end-to-end AI workflows for generative AI models, including fine-tuning and inference pipelines. Candidates must have 5+ years of experience in large application development and end-to-end infrastructure design, with mastery of Python and expertise in cloud services and containerization.

What you need

5+ years hands-on experience in developing large applications and designing end-to-end infrastructure
Demonstrated mastery of the Python programming language
Expertise in AWS and GCP services
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

What you will own

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

Core skills

PythonAWSGCPDockerKubernetesTerraformGenerative AILLMs

python aws gcp docker

Role brief

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