Soni Resources
Soni Resources
is seeking an
AI DevOps Engineer
to enhance our DevOps processes and integrate Large Language Models (LLMs) into development workflows. This role combines DevOps automation, tooling, and AI innovation to drive efficiency and scalability across our IT organization.
Key Responsibilities: Improve CI/CD pipelines and infrastructure using Azure DevOps, GitHub Actions, Jenkins, Terraform, and Kubernetes.
Develop internal tools and APIs using Python, TypeScript, FastAPI, Flask, or Node.js.
Integrate and experiment with LLMs (OpenAI, Claude, Gemini, LLaMA) using APIs and frameworks like LangChain or Semantic Kernel.
Automate testing with PyTest, Selenium, Postman, and Playwright; embed in CI/CD pipelines.
Design, tune, and test prompts using tools such as PromptLayer and Guardrails AI.
Collaborate cross-functionally using Jira, Slack, and Confluence; maintain documentation in Markdown/GitHub. Qualifications:
Experience with Azure, AWS, or GCP.
Strong hands-on skills with DevOps and IaC tools (Docker, Terraform, Kubernetes).
Familiarity with AI/ML pipelines and prompt engineering.
Proven experience working with and integrating LLMs into engineering workflows.
is seeking an
AI DevOps Engineer
to enhance our DevOps processes and integrate Large Language Models (LLMs) into development workflows. This role combines DevOps automation, tooling, and AI innovation to drive efficiency and scalability across our IT organization.
Key Responsibilities: Improve CI/CD pipelines and infrastructure using Azure DevOps, GitHub Actions, Jenkins, Terraform, and Kubernetes.
Develop internal tools and APIs using Python, TypeScript, FastAPI, Flask, or Node.js.
Integrate and experiment with LLMs (OpenAI, Claude, Gemini, LLaMA) using APIs and frameworks like LangChain or Semantic Kernel.
Automate testing with PyTest, Selenium, Postman, and Playwright; embed in CI/CD pipelines.
Design, tune, and test prompts using tools such as PromptLayer and Guardrails AI.
Collaborate cross-functionally using Jira, Slack, and Confluence; maintain documentation in Markdown/GitHub. Qualifications:
Experience with Azure, AWS, or GCP.
Strong hands-on skills with DevOps and IaC tools (Docker, Terraform, Kubernetes).
Familiarity with AI/ML pipelines and prompt engineering.
Proven experience working with and integrating LLMs into engineering workflows.