Forward Deployement Engineer

Key Responsibilities-

• Design, develop, and deploy AI-powered solutions using Python and modern software engineering practices.

• Build and integrate Generative AI applications using Large Language Models (LLMs) and AI agents.

• Develop Retrieval-Augmented Generation (RAG) pipelines using vector databases and enterprise content repositories.

• Leverage Azure AI services, Azure OpenAI, Azure Functions, and cloud-native technologies to build scalable solutions.

• Develop and integrate REST APIs and microservices to support enterprise applications.

• Implement containerization and CI/CD pipelines to streamline application deployment and delivery.

• Support model deployment, monitoring, evaluation, and optimization to ensure performance and reliability.

• Apply MLOps practices to manage AI model lifecycle, deployment, and ongoing maintenance.

Required Skills:

• Strong proficiency in Python and modern software engineering practices.

• Hands-on experience with Generative AI, LLMs, and AI agents.

• Experience building RAG pipelines and working with vector databases.

• Strong knowledge of Azure AI services, Azure OpenAI, and Azure Functions.

• Experience with REST APIs, microservices, containers, and CI/CD pipelines.

• Familiarity with model deployment, monitoring, evaluation frameworks, and MLOps practices.