AI Reliability Engineer (AWS/GCP & GenAI)

UST; Pune District; On-site; INR 1,800,000 - 3,600,000; Full time

Job summary

UST is seeking an experienced AI Reliability Engineer to design, operate, monitor, and enhance reliable AI/ML systems in production. The role focuses on availability, performance, observability, security, and quality of AI-powered applications, using AWS or GCP, Python, GenAI, and Terraform to build resilient platforms.

The candidate will design cloud infrastructure, automate platform capabilities with Python, implement observability and incident response processes, and collaborate with AI

Qualifications

• Bachelor's degree in Computer Science, Engineering, IT, or equivalent practical experience.
• 4-8 years of experience in software engineering, cloud engineering, DevOps, SRE, MLOps, or AI/ML engineering.
• Experience operating production-grade cloud-based or AI/ML systems.

Responsibilities

• Build, deploy, and operate reliable, scalable production platforms for AI/ML and Generative AI workloads.
• Design and maintain cloud infrastructure using AWS or GCP and Infrastructure as Code with Terraform.
• Develop and automate platform capabilities using Python to improve operational reliability.
• Monitor AI applications for availability, latency, throughput, and scalability.
• Establish and track service reliability indicators and operational metrics for AI services.
• Develop automated incident detection, response, recovery, root cause analysis, and prevention processes.

Skills

Cloud engineering

Reliability engineering

SRE practices

Education

Bachelor's degree in CS/Engineering

Tools

AWS

GCP

Python

Terraform

GenAI

Job description

Role Description

We are seeking an experienced AI Reliability Engineer to design, operate, monitor, and enhance highly reliable AI/ML and Generative AI systems in production. This role focuses on ensuring the availability, performance, scalability, observability, security, and quality of AI-powered applications and services. The ideal candidate combines strong cloud engineering expertise with hands-on experience in AWS or GCP, Python, GenAI, and Terraform to build resilient, production-grade AI platforms.

Key Responsibilities

• Build, deploy, and operate reliable, scalable production platforms for AI/ML and Generative AI workloads.
• Design and maintain cloud infrastructure using AWS or GCP and Infrastructure as Code practices with Terraform.
• Develop and automate platform capabilities using Python to improve operational efficiency and reliability.
• Monitor and optimize AI applications for availability, latency, throughput, scalability, and overall system health.
• Implement observability solutions including metrics, logs, dashboards, ing, and distributed tracing.
• Establish and track service reliability indicators, objectives, and operational metrics for AI services.
• Develop automated processes for incident detection, response, recovery, root cause analysis, and prevention.
• Implement resilience strategies including retries, rate limiting, caching, failover mechanisms, and disaster recovery approaches.
• Build and maintain CI/CD pipelines to support reliable deployment of AI applications and cloud infrastructure.
• Optimize cloud environments for performance, reliability, and cost efficiency.
• Collaborate with AI engineers, developers, platform teams, and security teams to improve production readiness.
• Participate in production support, incident management, post-incident reviews, and continuous reliability improvements.
• Create and maintain operational runbooks, monitoring standards, dashboards, and production-readiness processes.

Required Skills

• AWS OR GCP
• Python
• GenAI
• Terraform

Qualifications

• Bachelor's degree in Computer Science, Engineering, Information Technology, or a related discipline, or equivalent practical experience.
• 4-8 years of experience in software engineering, cloud engineering, DevOps, Site Reliability Engineering (SRE), MLOps, or AI/ML engineering.
• Experience operating production-grade cloud-based or AI/ML systems.
• Strong analytical, troubleshooting, communication, and problem-solving skills.

Skills

AWS, Generative AI, Python,terraform