AI Engineer

Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients. For more information, visit www.blend360.com  

We are looking for an AI Engineer with hands-on experience in designing and deploying scalable AI solutions on Microsoft Azure. In this role, you will be part of a cross-functional team working on cutting-edge initiatives involving Retrieval-Augmented Generation (RAG), agentic frameworks, and end-to-end MLOps workflows on Azure.

You will play a key role in building AI applications using frameworks such as LangChain, CrewAI, and Google ADK, applying advanced prompt engineering techniques, and ensuring robust monitoring, tracing, and performance optimization using Azure-native tools. Collaboration with engineering and data teams will ensure AI solutions align with broader software and ML architectures

Responsibilities:

• Design, develop, and deploy AI solutions on Microsoft Azure

• Implement Retrieval-Augmented Generation (RAG) pipelines and fine-tuning techniques

• Utilize and integrate AI frameworks such as LangChain

• Apply advanced prompt engineering techniques to solve complex problems using LLMs

• Build and manage agentic frameworks (CrewAI, Google ADK)

• Apply MLOps best practices using Azure services to streamline AI development workflows

• Deploy, monitor, and trace AI application performance using Azure ML, Azure Monitor, and Application Insights

• Collaborate across teams to align AI solutions with traditional ML and software engineering practices

• Work on end-to-end software engineering for scalable, production-grade AI systems

• 3+ 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