AI Site Reliability Engineer (AI SRE)
Elfonze Technologies Private Limited (company site, opens in a new tab)7–10 yrsOn-siteDirect career pageEst. 18–30 LPA
Posted on 22 Sept
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Job description
Structured overview of role & requirements
About This Role
- Own reliability, scalability, security, and operational excellence of AI/ML production platforms and AI-enabled applications.
- Lead incident response, define SLOs/SLIs, automate operational workflows, and maintain AI service health monitoring including AI-specific metrics.
- Collaborate cross-functionally to ensure production readiness, mentor junior engineers, and influence engineering standards for AI/ML platforms.
Minimum Requirements
- 7-10 years of experience in Site Reliability Engineering, DevOps, cloud operations, MLOps, or related fields.
- Strong proficiency in Python and/or Go; experience with Kubernetes, Docker, Linux, networking, API gateways, and cloud platforms (Azure, AWS, or Google Cloud).
- Experience with observability tools (e.g., OpenTelemetry, Prometheus), CI/CD and infrastructure automation tools (e.g., Terraform, Jenkins).
- Work Experience Required: 7-10 years; Location: India; Other filters: Not explicitly mentioned.
Ideal Candidate Profile
- Experienced with production AI/ML lifecycle management including Generative AI, LLM APIs, RAG, and AI agent frameworks.
- Able to translate reliability signals into prioritized engineering actions and communicate clearly with technical and non-technical stakeholders.
- Demonstrated leadership in incident management, capacity planning, automation, and operational excellence at enterprise scale AI platforms.