We are looking for an experienced AI/ML Engineer to design, develop, and deploy enterprise-grade Generative AI and Agentic AI solutions.
The candidate will build scalable RAG pipelines, multi-agent workflows using LangGraph, and MCP-enabled integrations while leveraging Azure AI technologies.
Responsibilities :
- Develop AI applications using Python, Azure OpenAI, and RAG architectures.
- Design and implement agentic workflows using LangGraph and MCP.
- Build and optimize vector search and knowledge retrieval systems.
- Integrate AI agents with enterprise tools and APIs through MCP Gateway.
- Deploy, monitor, and scale AI solutions on Azure cloud.
- Collaborate with product and engineering teams to deliver production-ready AI applications
Required Skillset :
- Demonstrated proficiency in building and deploying machine learning models using Python, PyTorch, TensorFlow, or Scikit-learn within production-grade environments.
- Strong expertise in cloud-based AI services and MLOps practices, specifically within AWS or Azure ecosystems, to manage the full model lifecycle.
- Proven ability to translate complex technical concepts into actionable insights for non-technical stakeholders through transparent and concise communication.
- Deep understanding of data structures, algorithms, and software engineering best practices, supported by a degree in Computer Science, Engineering, or a related quantitative field.