overview
We are seeking an
AI Engineer
with experience in building, integrating, and optimizing solutions using
Azure OpenAI, Azure AI Foundry, and Semantic Kernel Framework
- . The ideal candidate should have strong Python skills and a solid understanding of modern AI / ML concepts to design intelligent, scalable, and enterprise-ready solutions.
Responsibilities
Design, develop, and deploy AI-powered applications leveragingAzure OpenAI
and
Azure AI Foundry
services.
Implement and customize solutions using theSemantic Kernel Framework
for orchestration of LLM workflows.
Build Python-based scripts, APIs, and automation pipelines for integrating AI models into enterprise applications.Collaborate with cross-functional teams (data scientists, cloud engineers, and business stakeholders) to deliver AI solutions aligned with business goals.Optimize AI models for performance, scalability, and cost-effectiveness on Azure cloud infrastructure.Conduct experimentation, fine-tuning, and evaluation of large language models (LLMs).Ensure compliance with security, governance, and responsible AI principles.Document best practices, reusable components, and design patterns for AI solution delivery.Required Skills & Qualifications
Bachelor's or Master's degree in Computer Science, Engineering, AI / ML, or related field.5+ years of overall IT / software development experience, with
1+ years of relevant experience
in AI / ML solutioning.
Proficiency inPython
for AI solution development.
Hands-on experience withAzure OpenAI
and
Azure AI Foundry
Familiarity withSemantic Kernel Framework
for LLM orchestration and prompt engineering.
Understanding of API development, integration, and cloud-native application design.Strong analytical, problem-solving, and communication skills.Preferred Qualifications
Experience in fine-tuning and deploying LLMs in production.Knowledge of MLOps practices (CI / CD for ML, model monitoring).Exposure to containerization (Docker, Kubernetes).Familiarity with other AI frameworks (LangChain, Hugging Face, TensorFlow, PyTorch).Azure certifications in AI / ML or cloud architecture.