AI / Python Architect

AI / Python Architect

Position Type: Long-Term Contract

Location: San Diego, CA / Dallas, TX / New Jersey

Position Overview

We are seeking an experienced AI / Python Architect with strong expertise in scalable microservices, Python-based AI agent services, LLM orchestration, and event-driven architectures. The ideal candidate will have hands-on experience designing and deploying enterprise-grade AI solutions using Claude, Model Context Protocol (MCP), agent-based workflows, vector databases, and Apache Kafka .

This role will be responsible for architecting scalable backend and AI services, developing intelligent agent workflows, and integrating LLM capabilities into enterprise applications.

Key Responsibilities

• Architect and deploy scalable microservices using Spring Boot and Spring Cloud .
• Design and develop robust RESTful and gRPC APIs to support enterprise applications and AI services.
• Design and develop Python-based AI agent services and AI-driven backend solutions.
• Develop and orchestrate LLM-powered applications using frameworks such as LangChain, LlamaIndex, AutoGen, and LangGraph .
• Design and implement LLM-powered solutions using Claude , including enterprise AI workflows and agent-based applications.
• Build and integrate Model Context Protocol (MCP) servers to enable AI agents to interact with tools, data, and enterprise systems.
• Create and implement AI agent skills and reusable agent capabilities.
• Design and develop AI-driven workflows for enterprise use cases.
• Work with vector databases to support LLM applications and intelligent retrieval capabilities.
• Apply advanced prompt engineering techniques to improve LLM performance and reliability.
• Architect and implement event-driven systems and real-time message streaming using Apache Kafka.
• Design Kafka-based solutions supporting scalable, reliable, and distributed enterprise applications.
• Collaborate with engineering and architecture teams to translate business requirements into scalable AI and backend solutions.

Required Technical Skills

AI / LLM

• Expert-level Python development experience.
• Strong hands-on experience with LLMs , specifically Claude .
• Strong experience with LLM orchestration frameworks such as:
• LangChain
• LlamaIndex
• AutoGen
• LangGraph
• Hands-on experience with AI agents and agentic workflows .
• Experience building MCP servers and working with the Model Context Protocol .
• Experience creating agent skills and AI-driven workflows.
• Strong prompt engineering experience.
• Deep knowledge of vector databases and their use in LLM applications.

Backend / Microservices

• Extensive experience architecting and deploying scalable microservices .
• Strong experience with Spring Boot and Spring Cloud .
• Strong experience designing and developing RESTful APIs and gRPC services .
• Experience developing Python-based AI agent services .

Event-Driven Architecture

• Deep expertise in Apache Kafka .
• Strong understanding of event-driven architecture and message streaming .
• Experience designing scalable Kafka-based distributed systems.

Ideal Candidate

The ideal candidate combines strong software architecture skills with deep hands-on AI/LLM engineering experience . This is not purely an AI research or prompt-engineering role. Candidates should be capable of building production-grade services, integrating LLMs and agents into enterprise systems, and designing scalable event-driven architectures.

Key areas of expertise:

• Python | Claude | LLMs | AI Agents | MCP | LangChain | LangGraph | LlamaIndex | AutoGen | Vector Databases | Prompt Engineering | Spring Boot | Spring Cloud | REST | gRPC | Apache Kafka | Microservices