AI Software Engineer
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Before you apply
LocationGurugram, Haryana, India, Gurugram, India
Work modeon-site
Typefull-time
SeniorityMid
Experience2–6 yrs
DepartmentTech
Company size51–200 people
PostedAug 3, 2026 · 3mo ago
Verified live1d ago
At a glanceSummarised by Seekless from the posting.
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
Experience debugging and improving a system after it shipped
Strong Python
RESTful services, webhooks, third-party integrations; FastAPI or Django preferred
PostgreSQL — schema design, indexing, query performance; Redis or similar
Async Python (asyncio) and event-driven architectures
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
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
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
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
Python
FastAPI
Django
PostgreSQL
Redis
AWS
GCP
Azure
GPT-4
GPT-4o
Claude
LangChain
LlamaIndex
Twilio
Vonage
Deepgram
ElevenLabs
AssemblyAI
Datadog
New Relic
Sentry
Papertrail
Celery
AWS SQS
REST
WebSockets
Dentrix
Open Dental
Eaglesoft
AI Software Engineer
About the company
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 are 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