Role Overview
We are looking for an experienced AI Engineer with strong handson expertise in AI
development, Azure Cloud engineering, and modern LLM/Copilot solutions. The ideal
candidate should have solid experience with AI Foundry, agent orchestration, and
advanced data engineering tools such as Databricks, Genie, and Mozakke.
Key Responsibilities
Design, build, and deploy AI/ML solutions using AI Foundry and Azure AI
capabilities.
Develop scalable applications using Python and integrate AI models into
enterprise services.
Implement Azure Cloud development practices including PaaS, serverless
compute, and secure cloud architectures.
Build, test, and optimize LLM-based Copilot solutions and implement agent
orchestration workflows.
Work with Databricks, Genie, and Mozakke for data processing, model training,
and analytics workflows.
Collaborate with product, data, and engineering teams to define requirements
and technical architecture.
Ensure high-quality delivery through code reviews, CI/CD, and best engineering
practices.
MustHave Skills
Strong hands-on expertise in:
o AI Foundry / AI platforms
o Python programming
o Azure Cloud development
o Copilot development & LLM integration
o Agent orchestration frameworks
Experience with:
o Databricks (data engineering, ML workflows)
o Genie
o Mozakke
Solid understanding of MLOps, API integration, and cloud-native deployment.
Good-to-Have
Experience with Azure OpenAI Services
Knowledge of vector databases and embeddings
Familiarity with enterprise security standards and governance for AI solutions
Exposure to data pipelines, ETL, automation
