Azure DevOps / Python / Generative AI Engineer

Experience

3–6 Years

Role Overview

We are looking for a skilled Azure DevOps, Python, and Generative AI Engineer to design, develop, automate, and maintain cloud-based solutions on Microsoft Azure. The ideal candidate will have strong experience in Azure DevOps, Python development, CI/CD, cloud automation, and Generative AI technologies, with the ability to integrate AI capabilities into scalable enterprise applications.

Key Responsibilities

- Design, implement, and maintain CI/CD pipelines using Azure DevOps.
- Develop automation scripts, APIs, and backend applications using Python.
- Build and deploy Generative AI/LLM-based applications and solutions.
- Integrate Azure AI services and foundation models into business applications.
- Develop and manage automated build, release, and deployment processes.
- Implement infrastructure and application automation across Azure environments.
- Monitor application performance, deployments, and cloud resources.
- Work with development and data teams to integrate AI solutions into existing platforms.
- Develop secure and scalable APIs and microservices using Python.
- Implement testing, code quality, version control, and deployment best practices.
- Troubleshoot CI/CD pipelines, application issues, and cloud deployment problems.
- Follow security, governance, and DevOps best practices across Azure environments.
- Stay updated with emerging Generative AI, LLM, Azure AI, and DevOps technologies.

Required Technical Skills
- Strong hands-on experience with Microsoft Azure.
- Excellent knowledge of Azure DevOps.
- Strong programming skills in Python.




- Experience with CI/CD pipelines, Git, YAML, and release automation.
- Understanding of Generative AI and Large Language Models (LLMs).
- Experience with Azure AI services / Azure OpenAI is preferred.
- Knowledge of REST APIs, microservices, and API integration.
- Experience with Docker and containerization.
- Understanding of cloud security, monitoring, and deployment practices.
- Good understanding of Agile/Scrum methodologies.

Generative AI Skills – Preferred
- Experience working with LLMs, prompt engineering, RAG, embeddings, and vector databases.
- Knowledge of AI application development using Python.
- Experience integrating LLM APIs into enterprise applications.
- Familiarity with Azure OpenAI, Azure AI Search, and AI orchestration frameworks is an advantage.
- Understanding of responsible AI, data security, and AI governance.

Good to Have
- Terraform or Infrastructure as Code (IaC).
- Kubernetes / AKS.
- Azure Functions, Logic Apps, or App Services.
- PowerShell or Bash scripting.
- Knowledge of ML/AI deployment and MLOps.
- Experience with monitoring tools such as Azure Monitor and Application Insights.

Education
- Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related field.

Key Competencies
- Solid problem-solving and analytical skills.
- Good communication and collaboration abilities.
- Ability to work independently and in cross-functional teams.
- Strong troubleshooting and debugging skills.
- Ability to learn and adopt emerging AI and cloud technologies

Work Location: Hybrid remote in Noida, Uttar Pradesh (Noida)

📌 Azure DevOps + Python + Generative AI Engineer (Noida)
🏢 UIDM
📍 Noida