Artificial Intelligence Engineer

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