Role & responsibilities

Responsibilities

- Provide support for AI-powered applications and services.
- Troubleshoot issues related to prompts, LLM responses, APIs, integrations, and application workflows.
- Manage and maintain prompt repositories and Markdown (`.md`) based prompt configurations.
- Implement prompt enhancements, configuration changes, and minor code fixes.
- Monitor application health, analyze logs, and perform root cause analysis.
- Collaborate with development, infrastructure, and business teams for incident resolution and service improvements.

Required Skills

- Solid Python development and debugging experience.
- Hands-on experience with REST APIs, JSON, and microservices.
- Understanding of Generative AI, LLMs,



prompt engineering, and AI application support.
- Experience with Git, CI/CD pipelines, and configuration management.
- Familiarity with cloud platforms (preferred Azure).
- Knowledge of monitoring, logging, and incident management tools.
- Strong analytical, troubleshooting, and communication skills.

Preferred Skills

- Experience with Azure OpenAI, OpenAI APIs, LangChain, Semantic Kernel, or similar AI frameworks.
- Exposure to DevOps practices, Docker, and Kubernetes.

- Exposure to Azure platform

📌 Python Software Developer with Azure Open AI (Bangalore Rural)
🏢 Capgemini
📍 Bangalore Rural