Roles & Responsibilities
- Develop and deploy AI/ML and GenAI applications using Python.
- Build solutions with LLMs, RAG, Prompt Engineering, and AI Agents.
- Create and maintain CI/CD pipelines.
- Deploy applications using Docker and Kubernetes.
- Manage cloud infrastructure on AWS/Azure/GCP.
- Implement Terraform (IaC) and automation workflows.
- Monitor applications using Prometheus, Grafana, and logging tools.
- Collaborate on scalability, reliability, security, and MLOps.

Must Have
- 0-3 years in AI/ML, DevOps, Cloud, or Software Engineering.
- Robust Python (or Java) skills.
- Knowledge of LLMs, RAG, Prompt Engineering, and Machine Learning.
- Experience with OpenAI, LangChain, LlamaIndex, or Hugging Face.
- Hands-on with Docker, Kubernetes, Git, and CI/CD.
- Experience with AWS, Azure, or GCP.
- Basic knowledge of Terraform, MLOps, Airflow/Temporal, and PostgreSQL.
- Familiarity with observability and monitoring tools.

Good to Have
- Experience with Agentic AI frameworks.
- Knowledge of Vector Databases and MongoDB.
- Exposure to enterprise monitoring, reliability engineering, and security.
- Experience building AI platforms, MLOps pipelines, or reusable AI frameworks.

📌 AI DevOps Engineer (Hyderabad)
🏢 hiringhood
📍 Hyderabad