We are looking for an
AI Enginee
r with hands-on experience designing and deploying scalable AI solutions. In this role, you will be part of a cross-functional team working on cutting-edge projects involving Retrieval-Augmented Generation (RAG), agentic frameworks, and end-to-end MLOps workflows.
You’ll play a key role in developing AI applications using tools like LangChain, CrewAI, and Google ADK, while applying advanced prompt engineering techniques and ensuring robust monitoring and performance tracing. Your collaboration with other engineering will help align innovative AI systems with broader development goals.
What is this position about?
Design, develop, and deploy AI solutions.
Implement Retrieval-Augmented Generation (RAG) and fine-tuning techniques.
Utilize and integrate AI frameworks like LangChain.
Use advanced prompt engineering techniques to solve complex problems with LLMs.
Build and manage agentic frameworks such as CrewAI and Google ADK.
Apply MLOps best practices to streamline AI development workflows.
Monitor and trace AI applications performance.
Collaborate across teams to ensure alignment with traditional ML and AI methodologies.
Work on end-to-end software engineering for scalable solutions.
4+ years of experience in designing, developing, and deploying AI/ML solutions
Strong hands-on experience with Azure AI & ML services, including:
Azure Machine Learning
Azure OpenAI Service
Azure AI Search / Cognitive Search
Azure Data & Compute services
Strong understanding of machine learning fundamentals and traditional AI concepts
Experience with MLOps tools and practices (model training, deployment, monitoring, CI/CD on Azure)
Solid programming skills in Python (or other relevant languages)
Excellent problem-solving skills and ability to work in a collaborative, cross-functional environment
