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Key skills for this role
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
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
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
Work with Product Management to turn requirements into working software, surfacing edge cases early
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More from this employer
Bellevue, USA
Gurugram, IND
Gurugram, IND
Gurugram, IND
Bellevue, USA
Bellevue, USA
, USA
, USA
Gurugram, IND
Participate in sprint planning, standups, code reviews, and product reviews
Document what you build; collaborate across time zones with US-based stakeholders
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
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
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 tradeoffs 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
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
Dental software company providing an all-in-one operations, analytics, communications, payments, and marketing platform for dental practices.
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Entry · 4+ years experience
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