Principal Software Engineer (Gradient AI)
Tasks
- Build AI driven automation using infrastructure as code and CI CD pipelines
- Develop internal tooling leveraging agents for engineering efficiency and quality
- Drive architecture design and evolution for agent development experience
- Enforce design testing deployment instrumentation and performance best practices
- Establish technical standards coding practices and tooling
- Lead operations excellence for agent development platform
- Manage benchmarking system for agent experience
- Mentor engineers and lead architectural rigor
- Oversee availability performance tuning failover capacity planning and disaster recovery
- Serve as subject matter expert for agent development paradigms
- Support AI modernization initiatives with customer facing teams
- Translate strategic 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
- Training reimbursement
Skills/Tech-stack
AI | Agent Development | Architecture | Automation | Availability Engineering | Benchmarking | CI/CD | Capacity Planning | Cloud | Deployment | Disaster Recovery | Failover | GenAI | Infrastructure as Code | Instrumentation | Low Latency | ML | Machine Learning | Monitoring | Observability | Performance Engineering | Performance Tuning | Reliability | Scalability | Testing | “as-code”
Education
N/A
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