AI Architect

Workiy Inc.; United States; Remote; USD 180,000 - 260,000; Full time

Job summary

Workiy Inc. is seeking a highly experienced AI Architect for a remote role focused on Generative AI, LLMs, and modern orchestration with LangChain and LangGraph.

The candidate will design enterprise-grade AI solutions, build scalable RAG pipelines, and integrate MCP servers using Python to deliver production-grade AI applications. The role requires deep expertise in prompt engineering, distributed systems, and cloud-native architectures, with hands-on experience in vector databases, REST APIs,

Qualifications

• 12-15+ years of IT experience with a strong architecture background.
• Extensive hands-on Python development experience.
• Expertise in LangChain and LangGraph frameworks.
• Experience integrating MCP servers using Python.
• Deep knowledge of RAG architecture and LLM application development.
• Experience with vector databases such as Pinecone, Weaviate, ChromaDB, or FAISS.
• Experience with OpenAI, Anthropic, Gemini, Llama, or other LLM ecosystems.
• Familiarity with Docker, Kubernetes and cloud platforms (AWS/Azure/GCP).

Skills

Python development

LangChain

LangGraph

RAG architecture

LLM orchestration

Prompt engineering

REST APIs

Distributed systems

Tools

Docker

Kubernetes

Pinecone

Weaviate

ChromaDB

FAISS

AWS

Azure

GCP

Job description

This is a remote position. We are seeking a highly experienced AI Architect with deep expertise in Generative AI, Large Language Models (LLMs), and modern AI orchestration frameworks such as LangChain and LangGraph. The ideal candidate will have strong hands-on experience designing enterprise-grade AI solutions, building scalable RAG (Retrieval-Augmented Generation) pipelines, integrating MCP servers using Python, and developing production-ready AI applications leveraging modern LLM ecosystems.

Requirements

• 12-15+ years of overall IT experience with strong architecture background.
• Extensive hands-on experience with Python development.
• Strong expertise in LangChain and LangGraph frameworks.
• Experience integrating MCP servers using Python.
• Deep understanding of RAG architecture and LLM application development.
• Hands-on experience with vector databases such as Pinecone, Weaviate, ChromaDB, or FAISS.
• Experience working with OpenAI, Anthropic, Gemini, Llama, or other LLM ecosystems.
• Strong understanding of prompt engineering and AI orchestration patterns.
• Experience developing REST APIs and microservices.
• Familiarity with Docker, Kubernetes, and cloud platforms such as AWS, Azure, or GCP.
• Experience with AI monitoring, evaluation, and optimization techniques.
• Strong knowledge of scalable distributed systems and enterprise architecture.