Principle Software Engineer
Tasks
- Build and improve AI harness frameworks
- Design and operate agent delivery swarms
- Drive greenfield and modernization work with AI acceleration
- Embed with engineering teams to unblock technical problems
- Establish evaluation and quality gates for AI produced code
- Evaluate and adopt emerging AI models and tools
- Integrate AI capabilities with CI CD pipelines
- Mentor junior engineers in AI tooling and orchestration
- Orchestrate multiple AI agents in parallel
- Own architecture and design for AI accelerated delivery systems
- Set technical direction and best practices for AI native delivery
- Use data lake and platform services to ground AI agents
Perks/Benefits
- N/A
Skills/Tech-stack
Agent Orchestration | Agent systems | Artificial Intelligence | Automated testing | Blue-Green Deployment | Blue/green | CI/CD | Canary Deployment | Code Quality | Continuous Delivery | Continuous integration | Data Engineering | Language Processing | Machine Learning | Multi-Agent | Multi-Agent Systems | Natural Language | Natural Language Processing | Observability | Phased rollout | Prompt engineering | Security | Software Architecture | System design
Education
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