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Gloroots AI
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Lead Software Engineer

Lead Software Engineer

Gloroots AI

7 years

0 Lacs

india

Posted:3 days ago| Platform:

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Skills Required

software ai healthcare saas management scheduling billing reporting marketing data chatbot chat architecture retention routing latency evaluation monitoring design checks escalation dentrix authentication verification mfa code engineering ml shipping rest webhooks aws gcp storage postgresql model drive twilio compliance security tooling datadog

Work Mode

On-site

Job Type

Full Time

Job Description

Lead Software Engineer – Agentic AI (Healthcare SaaS | Dental Tech)

Compensation:

About the Company

Comprehensive dental practice management SaaS AI platform used by clinics to run operations end-to-end—scheduling, patient records, billing, reporting, and marketing automation.

Their mission is to help dental teams operate more efficiently and deliver better patient care through integrated workflows and data-driven insights.

The Opportunity

Lead the build of
greenfield conversational AI
products—starting with a chatbot automating
thousands of patient conversations daily
.
Own and scale additional
agentic AI
initiatives as the platform expands.

What You’ll Do

Lead end-to-end development
of patient-facing conversational AI (chat + voice), from build to production scale.
Define
architecture and technical strategy
for LLM/agentic features across the platform.
Build
conversation orchestration
(LangChain/LlamaIndex or custom), including multi-turn state, context retention, routing, and fallbacks.
Optimize
response quality, latency, and cost
; implement evaluation, monitoring, and continuous improvement loops.
Design
guardrails and safety mechanisms
for healthcare interactions (policy checks, escalation paths, safe prompting).
Integrate with dental practice management systems (e.g.,
Dentrix, Open Dental, Eaglesoft
) and internal services for real-time workflows.
Ship secure, scalable services:
APIs, authentication/verification (including MFA), data handling, observability, and reliability
.
Mentor engineers, conduct code reviews, raise engineering standards, and partner closely with Product and US stakeholders.

Must-Have

7+ years
software engineering experience;
2+ years
building and deploying AI/ML systems in production.
Proven track record shipping products from concept → launch → scale.
Hands-on experience building
LLM applications in production
(e.g., GPT-4/Claude or equivalent).
Strong
Python
proficiency; experience with
LLM frameworks
(LangChain, LlamaIndex, or similar).
Experience with conversational or real-time systems (chatbots, voice assistants, event-driven workflows).
Strong backend fundamentals:
REST APIs
, webhooks, third-party integrations.
Cloud experience (
AWS/GCP/Azure
) and common services (compute, storage, managed databases).
Datastore experience for state/context (e.g.,
PostgreSQL, MongoDB
) and session/state management patterns.
Practical knowledge of
RAG
, prompt engineering, agentic patterns, and model evaluation/monitoring.
Ability to work independently, drive execution in ambiguity, and communicate with technical/non-technical stakeholders.

Nice-to-Have

Voice AI + telephony integrations (
Twilio/Vonage
) and/or STT/TTS providers (
Deepgram/ElevenLabs/AssemblyAI
).
Exposure to healthcare compliance/security practices (HIPAA familiarity).
Observability tooling (
Datadog/New Relic/Sentry
).
SaaS/B2B experience, multi-tenant architecture, enterprise integrations.
Open-source contributions or active involvement in the AI builder community.

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