PropEquity Analytics
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Gurugram · On-site · 3-5 Yrs · 6 days ago
Real estate · 201 to 500 Employees · Gurgaon, India
P.E. Analytics owns and operates PropEquity which is an online subscription based real estate data and analytics platform covering over 65,000 projects of 16000 developers across over 42 cities in India. Approximately 300 projects are added every month. It is a premier Business Intelligence product- a first of its kind in India in the Realty space. Company that is built on pure innovation. The products created by the company are unique in the Indian context and which have been validated through the market and with marquee customers.
Hiring: Engineering
What employees say
+ The management is good. They allow employees to switch verticals provided competency.
− Low salary. Literally no appraisals.
More reviews on the company profile.
Interview experience · Market Research
The HR was professional and courteous, making the interaction smooth and pleasant. Their clear communication and respectful approach created a positive impression, leaving me satisfied with the overall experience. Overal
Easy difficulty · Gurgaon, Haryana · 13 reports
More interview insightsJob description
Overview
As India's Gold standard company in real estate analytics, the job opportunities at P.E. Analytics are unlimited. Working at P.E. Analytics is more than just a job; it's the chance to build and advance a lifelong career.
Responsibilities
- Design and develop real-time, low-latency Agentic Voice AI systems for inbound and outbound calling use cases
- Build conversational pipelines using Pipecat (audio streaming, orchestration, event handling)
- Implement and manage voice agents using Vapi (call flows, tool calling, webhook handling)
- Develop agent logic with LLMs (OpenAI / Anthropic / Azure OpenAI / Gemini)
- Implement multi-step agent workflows (intent detection, tool execution, memory, and decision-making)
- Integrate STT services (Deepgram, Whisper, Google Speech, Azure Speech)
- Integrate TTS services (ElevenLabs, Azure TTS, Google TTS)
- Optimize audio streaming, turn-taking, barge-in handling, and silence detection
- Build and maintain REST and WebSocket APIs for real-time communication
- Integrate with third-party systems (CRM, ticketing systems, databases, internal tools)
- Implement secure authentication (OAuth, API keys, JWT)
- Handle webhook-based event systems and async workflows
- Deploy AI services using FastAPI / Flask
- Containerize applications using Docker
- Work with cloud platforms (AWS / GCP / Azure)
- Monitor performance, latency, and reliability of voice systems
- Implement logging, tracing, and error handling for production systems
- Analyze call logs and conversation transcripts to improve agent performance
- Implement prompt optimization, agent memory, and retrieval (RAG if required)
- Optimize cost, latency, and response quality
Qualifications
- Core Technical Skills
- Strong proficiency in Python
- Hands-on experience with Pipecat and/or Vapi
- Strong understanding of real-time systems and audio streaming
- STT: Deepgram, Whisper, Google, or Azure
- TTS: ElevenLabs, Azure TTS, Google TTS
- Telephony & Voice APIs (Vapi, Twilio, SIP concepts preferred)
- Backend & DevOps
- FastAPI / Flask
- REST APIs & WebSockets
- Docker & basic CI/CD
- Cloud deployment experience
- Knowledge of call center workflows (IVR, escalation, human handoff)
- Understanding of latency optimization for real-time AI systems
- Prior experience building AI calling bots or voice assistants
- Strong problem-solving and debugging skills
- Ability to own features end-to-end
- Clear communication with technical and non-technical stakeholders
- Startup mindset with bias toward execution
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Job application FAQ
Last updated 6 October 2026
- How do I apply for Senior AI Engineer – Agentic Voice AI at PropEquity Analytics?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. PropEquity Analytics may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Senior AI Engineer – Agentic Voice AI role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Senior AI Engineer – Agentic Voice AI remote or on-site in Gurugram, Haryana?
- This listing is marked on_site with location Gurugram, Haryana. Confirm details on the job description before applying.
- What skills matter for this Senior AI Engineer – Agentic Voice AI role at PropEquity Analytics?
- This is a senior Senior AI Engineer – Agentic Voice AI role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.