Full time

Zohorecruit; Hyderabad; On-site; INR 600,000 - 1,200,000; Full time

Job summary

Technoidentity is hiring an AI DevOps Engineer with 0–3 years of experience. You will build and deploy AI-powered apps, work with LLMs and RAG, and manage cloud-native platforms. The role focuses on reliability, security, observability, and scalable AI pipelines.

We seek strong Python skills, ML/LLM knowledge, and hands-on experience with Docker, Kubernetes, and CI/CD. Familiarity with OpenAI, LangChain, and vector stores is a plus.

Qualifications

• Bachelor's degree in a relevant field.
• 0–3 years in AI/ML, software engineering, cloud, or DevOps.
• Proficiency in Python and ML/LLM concepts required.
• Hands-on with Docker, Kubernetes, and CI/CD.
• Familiarity with OpenAI, LangChain, and vector stores.

Responsibilities

• Develop and deploy AI/ML and Generative AI solutions with Python.
• Build apps leveraging LLMs, RAG, and AI agents.
• Create and maintain CI/CD pipelines for AI apps.
• Deploy and manage workloads with Docker and Kubernetes.
• Support cloud platforms (AWS/Azure/GCP).
• Implement Infrastructure as Code with Terraform.
• Monitor apps using observability tools; ensure reliability and security.
• Collaborate with teams to deliver scalable AI platforms.

Skills

Python

ML concepts

LLMs

Prompt engineering

RAG

OpenAI/ LangChain

Docker

Kubernetes

Git & CI/CD

PostgreSQL

MongoDB

Vector databases

Terraform

Airflow/Temporal

Observability tools

Education

Bachelors in CS/AI/Data Science/IT

Tools

CI/CD tools

Terraform

Prometheus/Grafana

Job description

At Technoidentity, we're a Data & AI product engineering company with over 15 years of expertise in building durable digital products, intelligent enterprise solutions, and scalable Data & AI platforms. As we continue expanding globally, it's the perfect time to join our team of tech innovators and make a lasting impact.

What’s in it for You?

We are looking for an AI DevOps Engineer with 0–3 years of experience who is passionate about AI, Cloud, DevOps, and Automation. The role involves building, deploying, and managing AI-powered applications, LLM solutions, and cloud-native platforms while ensuring reliability, scalability, security, and observability.

What Will You Be Doing?

• Develop and deploy AI/ML and Generative AI solutions using Python.
• Build applications leveraging LLMs, RAG, and AI agents.
• Create and maintain CI/CD pipelines for AI applications.
• Deploy and manage workloads using Docker and Kubernetes.
• Support cloud platforms (AWS, Azure, or GCP).
• Implement Infrastructure as Code (Terraform) and automation workflows.
• Monitor applications using observability tools such as Prometheus, Grafana, and logging platforms.
• Collaborate with engineering teams to ensure system reliability, performance, and security.
• Contribute to MLOps practices, AI accelerators, and reusable frameworks.
  

Requirements

What Makes You the Perfect Fit?

• Python programming (mandatory)
• Understanding of Machine Learning, LLMs, Prompt Engineering, and RAG
• Experience with OpenAI, LangChain, LlamaIndex, or Hugging Face
• Docker, Kubernetes, Git, and CI/CD tools
• PostgreSQL; MongoDB and Vector Databases are a plus
• Basic knowledge of MLOps, Terraform, and workflow orchestration tools (Airflow/Temporal)
• Familiarity with observability and monitoring tools

Qualifications

• Bachelor's degree in Computer Science, AI, Data Science, IT, or related field
• 0–3 years of experience in AI/ML, Software Engineering, Cloud, DevOps, or related areas

Nice to Have

• Experience with Agentic AI frameworks
• Knowledge of MLOps and AI platform operations
• Exposure to enterprise-grade monitoring, reliability engineering, and security best practices