Posting record
Open 12+ days
- Sentient's site dates the posting
- Ghostless first sees this listing
- Last checked: still up
How we know
It hasn't been reposted, listed twice, or left up unusually long, and the posting doesn't say it's a talent pool.
Ghostless records the day it first sees a posting, so a repost can't reset its age. This one was already up when Ghostless started tracking Sentient, so its true age is longer.
Last checked Nov 2, 2026.
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Upload your resumeWhat it asks of you
- 5+ years of experience
What the posting discloses
Not stated: Pay, real vacancy, AI screening.
Why these three
Ontario requires postings from employers with 25 or more staff to state the pay, whether the vacancy exists, and whether AI screens applicants.
Some employers add pay only on their own site. Check the original posting before you rule it out.
Skills mentioned
About the role
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
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