AI Software Engineer

Practice by Numbers (PBN) | Gurugram, India Scope: AI / Conversational Products &

- Backend Services

About Practice by NumbersPractice by Numbers is a dental practice management SaaS platform serving over 1,500 practices acrossNorth America — practice management software, VOIP, payment processing, and analytics. We're nowexpanding into AI-powered automation, building conversational AI products that change how practicesinteract with their patients.

About the RoleWe’re looking for a Software Engineer with strong, hands-on experience in both backend productengineering and modern AI systems. The ideal candidate can design and build reliable, production-gradeservices while also developing, integrating, and deploying AI-powered capabilities. As this is a singleopening on a small team, we need someone who can take end-to-end ownership across both areas andcontribute independently throughout the product development lifecycle.

You'll work on our AI Receptionist — a multi-channel conversational AI (voice, SMS, web chat) for dentalpractices — and the backend services, APIs, and integrations behind it. Hands-on IC role: you ownfeatures end to end, including their production behaviour. Real patient-facing traffic under HIPAAconstraints, where correctness and latency both matter.

Reports to: Lead Engineer — AI Location: Gurugram, India — this role is open in Gurugram only Work Mode: In-office Working Hours: Primarily IST (10 AM – 5 PM), with some evening overlap with US teams (until 9–11 PM IST) as needed

What You'll Do

Backend● Build and maintain backend services and RESTful APIs in Python (FastAPI / Django)● Design schemas and write efficient PostgreSQL queries; use Redis for caching and session state● Work with async and event-driven patterns — queues, webhooks, WebSockets, background workers● Own the operational side: logging, metrics, alerting,



debugging production issues● Write unit and integration tests for the business logic you ship

AI &

- LLM● Build and iterate on LLM-driven conversation flows: tool calling, multi-turn state, context handling● Write and refine prompts for specific use cases, and measure the impact of changes● Build guardrails for patient-facing interactions — no medical advice, no unverified data disclosure● Work with RAG and knowledge-base retrieval for practice-specific questions

● Contribute to evaluation and regression testing so AI quality doesn't drift between releases● Balance response quality, latency, and cost across LLM and voice vendors

Integrations &

- Data● Integrate with practice management systems (Dentrix, Open Dental, Eaglesoft) and internal PBN APIs● Implement secure auth flows, including OTP-based patient verification● Follow HIPAA-compliant practices across data handling, logging, and storage Collaboration● Work with Product Management to turn requirements into working software, surfacing edge cases early● Participate in sprint planning, standups, code reviews, and product reviews● Document what you build; collaborate across time zones with US-based stakeholders

Required Qualifications

Experience● 2–6 years of professional software development experience● Hands-on experience building backend services and APIs that ran in production● Practical experience with LLM-based applications (GPT-4/4o, Claude, or similar) — prompt design, tool calling, handling model output in real systems.



Substantial personal or open-source work counts; tutorial-level does not.● Experience debugging and improving a system after it shipped

Technical Skills● Strong Python — our primary language across AI and backend● APIs: RESTful services, webhooks, third-party integrations

- FastAPI or Django preferred● Databases: PostgreSQL — schema design, indexing, query performance
- Redis or similar● Async Python (asyncio) and event-driven architectures● Cloud: working knowledge of AWS (or GCP/Azure) — compute, storage, managed DBs, queues● Version control, code review, and CI/CD as normal parts of your workflow

AI Domain Understanding● Clear view of what LLMs can and cannot do reliably, and how that shapes product design● Prompt engineering and conversation design for multi-turn interactions● Familiarity with RAG and agentic patterns — tool use, orchestration● Some experience evaluating and monitoring LLM systems● Awareness of token cost and latency trade-offs

Soft Skills● Comfort with ambiguity — you can make a reasonable call and explain it● Clear communication with technical and non-technical stakeholders● Able to drive your own work to completion without close supervision● Comfortable with a quick pace and evolving requirements● Willing to work in-office in Gurugram and overlap with US hours when needed

Preferred Experience &

- Skills● Conversational AI — chatbots, voice assistants, or IVR● Voice/telephony (Twilio, Vonage) or STT/TTS APIs (Deepgram, ElevenLabs, AssemblyAI)● LLM orchestration frameworks (LangChain, LlamaIndex) — or a considered view on skipping them● Healthcare / HIPAA compliance knowledge● Observability tools (Datadog, New Relic, Sentry, Papertrail)● Celery or similar task queues
- AWS SQS or equivalent● SaaS or B2B product company background; multi-tenant architecture● Open-source contributions

📌 AI Software Engineer (Gurugram)
🏢 Practice by Numbers
📍 Gurugram