Artificial Intelligence Engineer

🚨 We're hiring: AI Engineer — BuildSense AI (Gurugram)

We're building PropOS — India's first AI Operating System for real estate developers. Six WhatsApp-native AI agents, built for how Indian real estate actually works: in Hinglish, on WhatsApp, at the speed brokers expect.

Our first agent, replies instantly — availability, pricing, site visits — no human needed. We're demoing it live at BuildTek CORE Summit, Pune, on July 11th.

We just opened up our AI Engineer role and we're looking for someone to own it from day one.

What you'll own:

• Architecture for our AI agent stack (LangGraph-based, multi-agent system)
• Hinglish intent classification — going from prototype to production-grade accuracy
• Technical mentorship for a sharp, fast-moving AI engineering team
• The judgment calls that turn a good demo into a product real estate developers trust enough to pay for

What we're looking for:

• Strong hands-on 4-5 years experience building production LLM/AI systems — not just prototypes
• Comfort owning architecture decisions end-to-end, with the confidence to push back when something's wrong
• Genuine excitement about solving a real, underserved problem — not just chasing the AI buzzword
• Founder mentality: you'll be employee #6, building something from near-zero.

What You Will Do

Technical Architecture — You Own This Completely

• Design the multi-agent orchestration layer: choose and implement the right framework (LangChain, LangGraph, AutoGen, or CrewAI) for PropOS's specific agent coordination requirements. This is the most critical architectural decision of the company's first year.

• Build the WhatsApp-first delivery layer: integrate Meta WhatsApp Business API via a BSP partner (Gupshup or Kaleyra), handle multi-turn conversation state, manage session windows, implement media handling, and build robust fallback flows for API failures.

• Design the shared data ontology: model the PropOS unified data layer: Land Parcel → Approvals → Units → Bookings → Collections → Handover. This schema determines whether cross-agent intelligence is possible — get it wrong and everything is siloed.

• Own the LLM strategy: evaluate foundation models (GPT-4o, Claude, Sarvam AI, Krutrim) against cost, latency, and Hindi language quality benchmarks. Make the final call on which models power which agents.

• Build document ingestion pipelines: parse RERA approval letters, BOQ Excel files, CP agreements, and project drawings using pypdf, camelot, Textract, and custom parsers.

AI Agent Engineering — The Core Daily Work

• Implement production LLM agents: with tool use, memory management, multi-step reasoning, and human-in-the-loop decision points. Agents must handle ambiguous real estate conversations, not just structured commands.

• Build vernacular NLP capabilities: implement Hindi, Hinglish, and eventually Marathi/Gujarati intent classification. Evaluate Sarvam AI and IndicBERT for vernacular understanding. Fine-tune on real estate domain vocabulary.

• Design and maintain the agent evaluation framework: define success metrics for each agent (task completion rate, hallucination rate, fallback frequency), build automated test suites, and run weekly quality reviews.

• Set up LLM observability: implement LangSmith or equivalent for prompt tracking, latency monitoring, cost per conversation, and failure analysis. You will look at these dashboards every morning.

• Implement RAG pipelines: for developer project document search using Pinecone or Weaviate. Semantic chunking, re-ranking, and retrieval quality evaluation are your responsibility.

The honest pitch: If you want comfort, this isn't it. If you want to build something that doesn't exist yet, in a market of 30,000 real estate developers nobody has properly served with AI — let's talk.

Compensation: Competitive, open to discussion based on experience — plus meaningful ESOP.

Target joining: ASAP. We'd rather find the right person fast than the wrong person slow.

Know someone who fits? Tag them. Interested? DM me or send your profile to [email protected].

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