AI specialists

<ul> <li>Proficient with Foundation LLM models, their APIs, cost models, prompt engineering best practices to reduce cost and improve performance</li> <li>Ability to Design and deploy multi-agent system architectures using frameworks like <b>LangChain</b>, <b>LangGraph</b>, or <b>CrewAI</b>, emphasizing inter-agent communication and task decomposition.</li> <li>Build robust APIs (FastAPI) and backend infrastructure to ensure AI solutions are performant, secure, and scalable.</li> <li>Embed agentic workflows into existing software stacks and business processes without disrupting core operations</li> <li>Utilize emerging standards like <b>MCP (Model Context Protocol)</b> and A2A (Agent-to-Agent) protocols to enable standardized data exchange.</li> <li>Deep proficiency with Foundation Models (GPT-4, Claude 3.5, Llama 3) and their respective APIs/parameter tuning.</li> <li>Advanced <b>Python</b> programming and experience building RESTful services with <b>FastAPI</b>.</li> <li>Familiarity with <b>Azure AI Studio</b> or <b>AWS Bedrock</b>, including CI/CD patterns for AI.</li> <li>Experience with <b>Databricks</b> (Unity Catalog, Mosaic AI) for data-centric AI workflows.</li> <li>Ability to build systems that learn from feedback loops and improve over time.</li> </ul>