AI Solutions Engineer

Job Description

who combines deep Python expertise with advanced prompt engineering skills. This role sits at the intersection of cutting-edge generative AI development and robust DevOps implementation. Youll architect, build, and deploy AI-powered solutions using frameworks like Langchain and RAG while ensuring scalable production systems through Azure cloud services. Key Responsibilities Design and implement AI applications using Python, Langchain, RAG, and agentic AI frameworks. Craft sophisticated prompt engineering strategies to maximize model performance and user experience Integrate AI capabilities into existing business workflows and applications Build specialized CI/CD pipelines for AI model lifecycle management Implement containerization (Docker) and orchestration (Kubernetes) for resilient production systems Optimize resource utilization and system performance in AI deployments Leverage Azure services (Azure ML, Azure Databases) to deploy and scale AI solutions Design data pipelines connecting AI systems with SQL/NoSQL databases Implement efficient data storage and retrieval patterns for AI applications Monitor emerging developments in GenAI, agentic systems, and prompt engineering Experiment with novel AI methodologies to enhance solution capabilities Contribute to the organizations AI strategy and technological roadmap Qualifications Advanced Python programming with AI/ML libraries Demonstrated expertise in prompt engineering and generative AI frameworks (Langchain, RAG) Experience implementing DevOps practices for AI systems Proficiency with database technologies (SQL/NoSQL) Strong foundation in Azure cloud services Proven track record deploying AI solutions in production environments Experience with TensorFlow, PyTorch, or other ML frameworks Knowledge of multi-cloud or hybrid cloud environments Understanding of security best practices for