AI engineer
Zycus (company site, opens in a new tab)0–1 yrsMumbaiOn-siteDirect career pageEst. 4–8 LPA
Posted 19d ago
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Job description
Structured overview of role & requirements
About This Role
- Ensure high availability, scalability, and performance of AI-driven, Java-based applications with LLM integrations.
- Support and optimize cloud-based GenAI platforms and containerized microservices using Kubernetes.
- Monitor and automate SRE tasks with AI tools; troubleshoot production incidents and improve system efficiency in cloud environments (AWS/GCP/Azure).
Minimum Requirements
- Experience: Final-year students or recent graduates (0–1 year experience).
- Basic proficiency in Java (preferred) and/or Python, plus Shell scripting skills.
- Understanding of Docker, Kubernetes fundamentals, Linux/Unix OS basics, and cloud environments (AWS/GCP/Azure).
- Must be eligible to attend walk-in drive in Mumbai and submit required documents for security clearance.
Ideal Candidate Profile
- Candidate comfortable working at the intersection of SRE, cloud infrastructure, and AI/GenAI platform operations.
- Familiarity with monitoring tools (e.g., Prometheus, Grafana) and AI-driven automation for operational tasks is advantageous.
- Open to learning emerging trends in AI-powered SRE and transitioning from internship to full-time engineering roles.