The Role
Build and operate backend services and REST APIs in Python for a multi-channel conversational AI receptionist. Design Postgres schemas, use Redis, async/event-driven patterns, and own observability. Develop LLM-driven conversation flows, prompts, RAG retrieval, tool-calling, and safety guardrails under HIPAA constraints. Integrate with dental practice systems, implement secure auth, write tests, and collaborate with product and US stakeholders across the development lifecycle.
Summary Generated by Built In
AI Software Engineer
Practice by Numbers (PBN) | Gurugram, India S
cope: AI / Conversational Products & Backend Services
About Practice by Numbers
Practice by Numbers is a dental practice management SaaS platform serving over 1,500 practices across
North America — practice management software, VOIP, payment processing, and analytics. We're now
expanding into AI-powered automation, building conversational AI products that change how practices
interact with their patients.
About the Role
We’re looking for a Software Engineer with strong, hands-on experience in both backend product
engineering and modern AI systems. The ideal candidate can design and build reliable, production-grade
services while also developing, integrating, and deploying AI-powered capabilities. As this is a single
opening on a small team, we need someone who can take end-to-end ownership across both areas and
contribute independently throughout the product development lifecycle.
You'll work on our AI Receptionist — a multi-channel conversational AI (voice, SMS, web chat) for dental
practices — and the backend services, APIs, and integrations behind it. Hands-on IC role: you own
features end to end, including their production behaviour. Real patient-facing traffic under HIPAA
constraints, 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 fast 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
Skills Required
- 2-6 years professional software development experience
- Hands-on experience building backend services and production APIs
- Practical experience with LLM-based applications (GPT-4/4o, Claude, or similar)
- Experience debugging and improving systems after shipping
- Strong Python
- RESTful APIs, webhooks, third-party integrations
- FastAPI or Django
- PostgreSQL (schema design, indexing, query performance)
- Redis or similar caching/session store
- Async Python (asyncio) and event-driven architectures
- Working knowledge of AWS or GCP or Azure (compute, storage, managed DBs, queues)
- Version control, code review, and CI/CD
- Prompt engineering, conversation design, RAG, tool-calling, and LLM evaluation/monitoring
- Willingness to work in-office in Gurugram and overlap with US hours when needed
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The Company
What We Do
Practice by Numbers is an all-in-one software solution designed to help dental practices, groups, and organizations consolidate, streamline, and improve their day-to-day operations. Its mission is to transform dental practice management through integrated software solutions that enhance patient experiences and optimize business performance, providing a comprehensive suite of analytics, patient communication, and reputation management tools in a single platform.
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