Principal Software Engineer (Gradient AI)
Tasks
- Build agent development services
- Collaborate with customer facing teams for AI modernization
- Define testing deployment and performance tuning best practices
- Design agent development platform architecture
- Develop internal agent based tooling
- Drive automation for infrastructure and deployments
- Establish technical standards and coding practices
- Implement mechanisms to productize agent development
- Lead operations excellence for agent development platform
- Mentor engineers
- Oversee availability performance tuning failover and disaster recovery
- Serve as subject matter expert for agent development paradigms
- Translate product objectives into scalable technical roadmaps
Perks/Benefits
- Conference reimbursement
- Education reimbursement
- Employee assistance program
- Employee stock purchase program
- Equity compensation
- Flexible time off
- LinkedIn Learning access
- Local Employee Meetups
- Remote work
- Training reimbursement
Skills/Tech-stack
AI | Agent Development | Architecture | Automation | Benchmarking | CI/CD | Capacity Planning | Cost Optimization | Deployments | Disaster Recovery | Failover | GenAI | Infrastructure as Code | Low Latency | ML | Monitoring | Observability | Performance Tuning | Reliability | Scalability | Testing | “as-code”
Education
N/A
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