Agentic AI Consultant
Highbury Consulting Services
Role Overview:- Architect and implement production multi-agent systems using patterns such as ReAct.Tech Stack & Requirements:- Strong production experience with LangGraph and/or CrewAI, AutoGen.- Experience with MCP and/or A2A protocols.- Strong Python (async, typing, FastAPI, Pydantic).Key Responsibilities : - Architect and deploy multi-agent systems using CrewAI and LangGraph to automate complex, multi-step business workflows for enterprise clients.- Design and maintain high-performance LLM pipelines using LangChain and LangSmith to ensure reliability, observability, and continuous improvement of AI outputs.- Develop and integrate Model Context Protocol (MCP) servers to enable seamless data exchange between autonomous agents and disparate enterprise data sources.- Build scalable, production-ready backend services using FastAPI and Pydantic to ensure type-safe, high-throughput communication between AI agents and existing infrastructure.- Optimize retrieval-augmented generation (RAG) performance by engineering advanced indexing and querying strategies within Vector Databases to improve the accuracy of agentic responses.- Lead technical workshops and design sessions with client stakeholders to align AI capabilities with strategic business objectives. (ref:hirist.tech)
Vacancy posted 8 days ago
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