Principal Software Engineer (Gradient AI)
Tasks
- Architect agent development platform
- Build CI/CD pipelines for deployments
- Build agent integration systems
- Collaborate with product managers on technical roadmaps
- Define testing deployments and performance tuning best practices
- Design evaluations and benchmarking
- Develop cross agent interaction tools
- Develop internal agent tooling for engineering efficiency
- Drive disaster recovery planning
- Ensure scalability reliability low latency cost efficiency
- Establish technical standards and coding practices
- Guide customer facing teams on agent modernization
- Implement infrastructure-as-code
- Implement observability and instrumentation
- Lead operations excellence and automation
- Manage availability performance failover capacity planning
- Mentor engineers on architectural rigor
- Monitor and optimize system performance
- Serve as subject matter expert on agent paradigms and productization
Perks/Benefits
- Career development
- 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
Agent Development | Artificial Intelligence | Automation | Benchmarking | CI/CD | Capacity Planning | Cloud Architecture | Deployment | Disaster Recovery | Failover | GenAI | Infrastructure as Code | Instrumentation | Low Latency | Machine Learning | Monitoring | Observability | Performance Tuning | Reliability Engineering | Scalability | Technical leadership | Testing | “as-code”
Education
N/A
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