Senior Software Engineer, AI
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LocationGurugram, Haryana, India, Gurugram, India
Work modeon-site
Typefull-time
SenioritySenior
Experience4+ yrs
DepartmentTech
Company size51–200 people
PostedSep 3, 2026 · 2mo ago
Verified live1d ago
At a glanceSummarised by Seekless from the posting.
4+ 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
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
Shipped an LLM system to real users and debugged it in production; can describe a failure mode you found and fixed
Specific view of what current models are unreliable at, and how that shapes what runs unsupervised versus behind a tool call or human review
Multi-turn conversation design — state that survives interruptions, topic switches, and mid-call corrections
Experience measuring LLM systems: offline evals, judge model calibration, or production quality metrics
Working knowledge of token cost and latency trade-offs, including where streaming helps and where it adds complexity
Frame the problem, not just solve it; write down architectural decisions and the trade offs you rejected
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
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
SaaS or B2B product company background; multi-tenant architecture
Willing to work in-office in Gurugram and overlap with US hours when needed
Skills
Python
FastAPI
Django
PostgreSQL
Redis
AWS
Dentrix
Open Dental
Eaglesoft
Twilio
Vonage
Deepgram
ElevenLabs
AssemblyAI
LangChain
LlamaIndex
GPT-4
GPT-4o
Claude
Senior Software Engineer, AI
Practice by Numbers (PBN) | Gurugram, India Scope: 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 Senior 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
•
Own the conversation layer for real-time voice — turn-taking, barge-in, and recovery when the agent talks over a caller or stalls mid-turn
•
Debug non-deterministic failures in production: fabricated confirmations, invented practice policies, dropped context across turns
•
Own patient identity resolution over the phone — misheard and misspelled names, shared phone numbers, multi-algorithm phonetic matching
•
Version prompts and tool schemas like code: canary changes, measure impact, roll back regressions
•
Own the eval and regression suite — golden conversation sets, replay of production calls, CI gating on prompt and model changes
•
Design guardrails for patient-facing interactions: no medical advice, no unverified data disclosure, tool-call authorization, PHI excluded from logs and traces, escalation to a human when the agent should stop
•
Own the model and voice vendor abstraction so a provider change is configuration, not a rewrite
•
Keep voice, SMS, and web chat consistent — shared state and knowledge base, channel- appropriate behaviour
Integrations & Data
•
Integrate with practice management systems (Dentrix, Open Dental, Eaglesoft) and internal PBN APIs
•
Implement secure auth flows, including OTP-based patient verification
•
Define SLOs for conversation success and turn latency; own incident response and postmortems for this surface
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
•
4+ 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
•
Shipped an LLM system to real users and debugged it in production; can describe a failure mode you found and fixed
•
Specific view of what current models are unreliable at, and how that shapes what runs unsupervised versus behind a tool call or human review
•
Multi-turn conversation design — state that survives interruptions, topic switches, and mid-call corrections
•
Experience measuring LLM systems: offline evals, judge model calibration, or production quality metrics
•
Working knowledge of token cost and latency trade-offs, including where streaming helps and where it adds complexity
Soft Skills
•
Frame the problem, not just solve it; write down architectural decisions and the trade offs you rejected
•
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 skippingthem
•
Healthcare / HIPAA compliance knowledge
•
SaaS or B2B product company background; multi-tenant architecture