AI Development & Automation Engineer

About the Role:

We’re hiring an AI Developer who is highly skilled in Natural Language Processing (NLP), Machine Learning (ML), and building applications with Large Language Models (LLMs) and RAG architectures. You’ll also support automation using no-code tools like n8n, helping us streamline and scale real estate workflows across sales, marketing, and client engagement.

Key Responsibilities:

• Build, fine-tune, and deploy LLMs for real-world use-cases: document Q&A, lead qualification, customer support agents.

• Implement RAG pipelines using tools like LangChain, LlamaIndex, or custom Python stacks.

• Design NLP workflows for text classification, entity extraction, summarization, and search.

• Work with vector databases (FAISS, Pinecone, Weaviate) to support semantic search.

• Integrate AI pipelines with APIs and internal tools.

• Build modular, scalable automation workflows using n8n.

• Connect AI services (OpenAI, Claude, Cohere) to tools like HubSpot, Airtable, Notion, Slack, CRMs, etc.

• Use HTTP request nodes, webhooks, and logic control within n8n to orchestrate intelligent automation.

• Deploy AI apps using FastAPI, Docker, and host on AWS/GCP with CI/CD workflows.

• Support backend integration with external APIs and services for full-stack deployment.

• Collaborate with non-technical teams to enable automation of manual workflows.

Key Skills & Qualities:

• 3–5 years of hands-on experience in AI/ML and NLP development.

• Strong Python skills with exposure to LangChain, Transformers, or OpenAI SDKs.

• Experience building and deploying RAG systems in real-world settings.

• Understanding of embedding models, vector search, and prompt engineering.

• Solid experience with n8n (or similar like Zapier, Make) to create production-ready workflows.

• Ability to connect APIs, configure triggers, and automate AI pipelines via no-code tools.

• Knowledge of databases (SQL/NoSQL) and integration with automation tools.
• Good problem-solving skills and attention to detail.

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