Senior AI Architect: Python, LLMs & Microservices

InfoVision Inc.; Dallas (TX); On-site; USD 140,000 - 190,000; Full time

Job summary

InfoVision Inc. is seeking an experienced AI / Python Architect to design scalable backend and AI services in a Dallas-based enterprise environment. The role focuses on agent-based workflows, LLM orchestration, and event-driven architectures using Claude and MCP.

You will build Python-based AI agents, integrate with vector databases, and deploy scalable microservices with Spring Boot and Spring Cloud. Strong mastery of Kafka and REST/gRPC APIs is required.

Qualifications

• Hands-on experience designing and deploying enterprise-grade AI solutions.
• Strong expertise with scalable microservices and event-driven architectures.
• Experience integrating LLMs into enterprise applications.

Responsibilities

• Architect and deploy scalable microservices using Spring Boot and Spring Cloud.
• Design and develop RESTful and gRPC APIs to support enterprise AI services.
• Develop Python-based AI agent services and AI-driven backend solutions.
• Orchestrate LLM-powered applications using LangChain, LlamaIndex, AutoGen, LangGraph.
• Build MCP servers for AI agents to interact with tools and enterprise systems.
• Create AI agent skills and reusable agent capabilities.
• Design AI-driven workflows for enterprise use cases.
• Work with vector databases to support LLM retrieval capabilities.
• Apply prompt engineering to improve LLM performance and reliability.
• Architect event-driven systems and real-time streaming with Apache Kafka.

Skills

Architectural design

Cloud architecture

Microservices

AI/LLM engineering

Python programming

Prompt engineering

Education

Bachelor's degree in CS/Engineering

Tools

Spring Boot

Spring Cloud

REST APIs

gRPC

Apache Kafka

Claude

LangChain

LlamaIndex

AutoGen

LangGraph

Vector Databases

Job description

InfoVision Inc. is seeking an experienced AI / Python Architect to design scalable backend and AI services in a Dallas-based enterprise environment. The role focuses on agent-based workflows, LLM orchestration, and event-driven architectures using Claude and MCP.

You will build Python-based AI agents, integrate with vector databases, and deploy scalable microservices with Spring Boot and Spring Cloud. Strong mastery of Kafka and REST/gRPC APIs is required.