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Freedom Property Investors

AI Developer - India

Reposted 6 Days Ago
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India
Mid level
India
Mid level
The AI Developer will build and deploy applications using NLP and ML techniques, create automation workflows using no-code tools, and support real estate workflows.
The summary above was generated by AI
Opportunities:
Pay ranges from 80,000 - 1,0,000  INR / Month
Full-time remote or work-from-home
Sydney Australian Time Zone (Day shift)
Health Insurance 
Career Growth
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, and customer support agents.

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

  • Design NLP workflows for text classification, entity extraction, summarisation, 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.

Note: Please ensure you meet the essential requirements before applying.
Technical Requirements:
Windows 11 operating system or macOS 13+
256GB storage space - minimum
16GB RAM - minimum
Dual Core CPU - minimum
Camera: HD Webcam (720p)
Headset: Noise-cancelling (preferably)
Internet Speed: 50 Mbps - minimum
About The Company
Freedom Property Investors is the largest and number one property investment company in Australia, with our main offices in the Sydney and Melbourne CBDs.
We were awarded the 3rd fastest-growing business in Australia across all industries according to the Australian Financial Review.
We are privileged to have served over 10,000 of our valued members and are home to over 300 full-time staff spread across Australia and growing. We pride ourselves on being the industry leaders.
It is our mission to provide the highest level of service to our valued members, earning over 2,131 positive Google reviews and a 4.8-star rating, which is unheard of in our industry. We are in need of people who share the same values as we do. This opportunity is open to all driven individuals who are committed to helping people and earning a life-changing income.
Join Australia’s largest and number 1 property investment team and contribute to our mission of helping everyday Australians achieve their goals of financial freedom.
Apply now!!!
#LI-DNI

Top Skills

AWS
Docker
Fastapi
GCP
Langchain
Large Language Models (Llms)
Llamaindex
Machine Learning (Ml)
N8N
Natural Language Processing (Nlp)
Pinecone
Python
Rag Architectures
Vector Databases (Faiss
Weaviate)

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