Here is a much shorter, high-impact version that keeps only what matters for hiring while staying attractive and clear:

Founding AI Platform Engineer

LLM Orchestration Voice AI Real-Time Systems

Company: Deol Properties LLC

Location: Remote (India)

Experience: 4+ YearsSalary: ₹8–10 LPA

Type: Full-Time

About the Role

We are building AI-native systems to automate real estate operations, customer communication, and business workflows.

We are looking for a Founding AI Platform Engineer to design and build the core AI infrastructure powering these products.

This is a high-ownership engineering role, not a routine full-stack job.

You will work on:

- AI agent orchestration systems
- Real-time voice AI agents
- Multi-agent workflows
- Model routing and cost optimization
- Scalable SaaS backend architecture

What You Will Build

- AI orchestration platform (agents + workflows)
- Real-time voice AI calling system
- AI CRM and automation tools
- RAG / knowledge systems
- Multi-tenant SaaS backend
- Model routing + token optimization engine

Key Responsibilities

AI Systems

- Build multi-agent orchestration and execution flows
- Implement model routing (cost, latency, quality-based)
- Design memory, context, and tool-calling systems
- Add guardrails, retries, and failure handling

Voice AI

- Build real-time voice agents (calls + conversations)
- Integrate STT, LLMs, and TTS pipelines
- Handle interruptions, latency, and call transfers
- Work with Twilio / WebRTC / SIP systems

Backend & Platform

- Build scalable APIs (Node.js / Python)
- Design multi-tenant SaaS architecture
- Work with PostgreSQL, Redis, queues
- Build real-time WebSocket systems

Performance & Cost





- Reduce token usage and API cost
- Optimize latency across AI pipelines
- Improve retrieval and response quality
- Monitor system performance in production

Required Skills

- 4+ years software engineering experience
- Strong in JavaScript/TypeScript
- React + Node.js (or similar full-stack experience)
- PostgreSQL + Redis
- REST APIs + WebSockets
- AWS or cloud deployment experience
- Docker + CI/CD

AI Experience (Must Have Some)

- OpenAI / Claude / Gemini APIs
- Prompt engineering + function calling
- RAG systems + vector databases
- LangChain / LangGraph (or similar)
- Model routing or AI workflows
- AI cost or performance optimization

Voice AI (Robust Plus)

- Twilio / LiveKit / WebRTC
- Speech-to-text + text-to-speech
- Real-time audio streaming
- Call handling + voice latency optimization

What We Expect

You should:

- Think in systems, not just features
- Be comfortable owning architecture decisions
- Understand production-grade AI systems
- Care about performance, cost, and reliability
- Be able to work independently in a remote setup

Not a Fit If You

- Only have basic ChatGPT API experience
- Have never built production systems
- Rely only on tutorials or low-code tools
- Cannot explain your past technical work

Why Join

- Work on real AI products from day one
- Own core platform architecture
- Build cutting-edge voice + agent systems
- High-impact engineering role in an early-stage AI stack

How to Apply

Please include:

- Resume + LinkedIn + GitHub
- AI/voice projects you’ve built
- Systems you’ve deployed in production
- Any work on cost optimization or RAG

Pay: ₹800,000.00 - ₹1,000,000.00 per year

Benefits:

- Flexible schedule

Work Location: Remote

📌 Founding AI Platform Engineer (India)
🏢 Deol Properties
📍 India