Related skills
kubernetes prompt engineering rag llm vector databases📋 Description
- Design and build AI Harness for SRE/DevOps: fault detection, capacity risk, automation, recovery.
- Develop automated RCA system combining logs, metrics, tracing, events, and topology.
- Build AIOps capabilities: noise reduction, anomaly detection, event correlation, remediation.
- Collaborate with R&D, SRE, platform, and data teams to embed AI in CI/CD and DevOps.
- Design scalable, observable AI systems with governance and evolvability.
- Partner with cross-region teams to align AI-enabled workflows.
🎯 Requirements
- Bachelor's degree or higher; 8+ years in R&D/architecture or platform engineering.
- Strong software architecture skills; microservices, distributed systems, high availability.
- Familiar with LLM app development: LLM, RAG, Embedding, vector databases.
- Experience delivering AI agent products; multi-tool invocation and multi-turn reasoning.
- Familiar with RCA or AIOps capability development: log analysis, metrics, tracing.
- Proficient in Java, Python, Go, or TypeScript; strong engineering and design.
🎁 Benefits
- Competitive total compensation package
- L&D programs and education subsidies
- Team-building programs and company events
- Wellness and meal allowances
- Comprehensive healthcare for employees and dependents
- More details shared during the interview process
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