Verterim, Inc.

Solutions Engineer

• Design and implement RAG (Retrieval-Augmented Generation) systems for document processing, policy analysis, and compliance automation
• Build and deploy AI applications using Azure OpenAI, Azure AI Foundry, and Azure Cognitive Services
• Develop multi-agent systems using frameworks like AutoGen, Semantic Kernel, or LangGraph
• Create production-grade REST APIs using Python (FastAPI) for AI services
• Implement prompt engineering strategies including few-shot learning, chain-of-thought, and structured output generation
• Integrate AI solutions with enterprise data sources (databases, document repositories, external APIs)
• Optimize LLM performance including context window management, token optimization, and response quality
• Handle LLM security including prompt injection prevention, guardrails, and content filtering
• Deploy and maintain AI infrastructure using Azure services and CI/CD pipelines (Bicep, Azure DevOps)
• Troubleshoot and resolve production issues in AI systems
• Collaborate with front-end teams (Next.js) to deliver complete solutions
• Collaborate with product managers, and business analysts to translate customer needs into actionable AI requirements.
• Contribute to building reusable frameworks, orchestration templates, and integration components for rapid AI solution deployment.
• Participate in code reviews, sprint planning, and Agile ceremonies to ensure consistent quality and high-velocity delivery.
• Assist in preparing technical documentation, deployment guides, and maintenance procedures.
• Work closely with senior engineers to integrate AI models into production applications, ensuring performance, reliability, and scalability.
• Stay current with Microsoft’s evolving AI ecosystem to identify opportunities for improvement and innovation.
• Propose enhancements to existing AI solutions through improved orchestration, automation, or model optimization.
• Participate in internal knowledge sessions to deepen expertise in LLM integration, prompt engineering, RAG implementations, and AI governance.
• Support experimentation with complex multi-agent coordination using AutoGen and Semantic Kernel.

AI Solutions Engineer