AI Engineer

Role Summary

Build and ship AI-powered features and automation workflows as part of the offshore AI engineering pod, extending the organization's LLM-based sales, CRM, and operations tooling under the direction of the Dubai-based AI Engineering team.

Key Responsibilities

• Develop LLM-powered features, chat assistants, and automation workflows
• Implement RAG pipelines: ingestion, chunking, embeddings, retrieval, citation
• Write and iterate on prompts, tool definitions, and agent workflows
• Integrate AI features with Salesforce, ERP, and platform APIs
• Build evaluation scripts and monitor model output quality and cost
• Collaborate closely with the Dubai AI Engineering team across time zones

Tech Stack

• Languages: Python and/or JavaScript/TypeScript
• LLM APIs: Anthropic Claude, OpenAI, Azure OpenAI
• Frameworks: LangChain, LlamaIndex, Anthropic Agent SDK
• Vector stores: pgvector, Pinecone, Azure AI Search
• Backend: FastAPI / Node.js, REST & GraphQL
• Cloud: Azure, Docker; CI/CD via GitHub Actions/Azure DevOps

Cutting-Edge AI Skills

• Prompt engineering, structured outputs, and function/tool calling
• RAG pipeline construction and retrieval tuning
• Multi-step agent design and Model Context Protocol (MCP) tool integration
• Building evaluation sets and monitoring for hallucination/quality drift

Business Domain Exposure

• The organization is a large-scale master real estate developer delivering mixed-use residential, commercial, and hospitality communities across multiple master-planned developments, alongside affiliated retail, wellness/fitness, food & beverage, hospitality, education, and property-management operating brands.
• Supporting AI features for sales/CRM automation and buyer-facing chat/search
• Working with property, pricing, and inventory data from the organization's master-community projects
• Coordinating with Dubai AI Engineering on grounding AI outputs against Salesforce/ERP data

Must-Have Requirements

• Proficiency in Python and/or JavaScript/TypeScript
• Practical experience building with LLM APIs and prompt engineering
• Understanding of vector databases and embedding-based retrieval
• Comfortable working with REST/GraphQL APIs and cloud services
• Strong async communication skills for distributed teams

Nice to Have

• Experience with agent frameworks (LangChain, LlamaIndex, or similar)
• Exposure to CI/CD and containerized deployments
• Interest in enterprise SaaS/real-estate integrations

Pay: Up to ₹130,000.00 per month

Application Question(s):

• 4–6 years data science engineering, with applied AI/LLM project experience?

Education:

• Master's (Required)

Experience:

• AI/LLM project : 6 years (Required)
• Data science: 4 years (Required)

Work Location: In person