Hiring: AI DevOps Engineer | Technoidentity Careers 2026 | Hyderabad, India

Technoidentity is a

Data & AI product engineering company with over

15 years of industry expertise in delivering intelligent digital products, enterprise solutions, cloud-native platforms, and scalable AI applications. The company specializes in Data Engineering, Artificial Intelligence, Machine Learning, Cloud Technologies, DevOps, and Digital Transformation, helping businesses build innovative and reliable software solutions worldwide. Engineering & Technology Technoidentity is hiring an

AI DevOps Engineer to build, deploy, and manage modern AI-powered applications and cloud-native infrastructure. Career Resources & Planning This role is ideal for engineers passionate about

Artificial Intelligence, Generative AI, DevOps, Cloud Computing, Kubernetes, Automation, and MLOps . You will work on Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, CI/CD pipelines, Infrastructure as Code, and cloud platforms while ensuring application scalability, reliability, security, and observability. If you're looking to build a career at the intersection of

AI and DevOps , this is an excellent opportunity to work with cutting-edge technologies and enterprise-grade AI platforms.

• Develop AI/ML and Generative AI applications using Python.
• Build applications powered by LLMs, RAG, and AI agents.
• Design and maintain CI/CD pipelines for AI workloads.
• Deploy and manage containerized applications using Docker and Kubernetes.
• Support cloud infrastructure on AWS, Azure, or Google Cloud Platform (GCP).
• Implement Infrastructure as Code (IaC) using Terraform.
• Monitor applications using Prometheus, Grafana, and logging platforms.
• Collaborate with engineering teams to improve system reliability, scalability, and security.
• Contribute to MLOps practices, reusable AI frameworks, and automation solutions. Programming
• Python (Mandatory) Artificial Intelligence
• Machine Learning
• Generative AI
• Large Language Models (LLMs)
• Prompt Engineering
• Retrieval-Augmented Generation (RAG) AI Frameworks
• OpenAI
• LangChain
• LlamaIndex
• Hugging Face DevOps & Containers
• Docker
• Kubernetes
• Git
• CI/CD Cloud Platforms
• Amazon Web Services (AWS)
• Microsoft Azure
• Google Cloud Platform (GCP) Infrastructure & Automation
• Terraform
• Infrastructure as Code (IaC) Databases
• PostgreSQL
• MongoDB
• Vector Databases (Preferred) Monitoring & Observability
• Prometheus
• Grafana
• Logging Platforms Workflow Tools
• Apache Airflow (Preferred)
• Temporal (Preferred)
• Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Information Technology, or a related field.
• 0–3 years of experience in AI/ML, Cloud, DevOps, Software Engineering, or related domains.
• Experience with Agentic AI frameworks.
• Knowledge of MLOps practices.
• Experience with AI platform operations.
• Understanding of enterprise monitoring and observability.
• Familiarity with reliability engineering and cloud security best practices. Why Join Technoidentity?
• Work on cutting-edge AI and Generative AI projects.
• Gain hands-on experience with LLMs, RAG, and AI agents.
• Build expertise in Cloud, Kubernetes, DevOps, and MLOps.
• Collaborate with experienced AI and cloud engineering teams.
• Work on scalable enterprise-grade AI platforms.
• Excellent learning and career growth opportunities. Ideal Candidate

This Opportunity Is Ideal For Geographic Reference

• AI DevOps Engineers
• DevOps Engineers
• MLOps Engineers
• Cloud Engineers
• Platform Engineers
• AI/ML Engineers
• Python Developers
• Software Engineers interested in AI Infrastructure
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