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

Location: Gurugram, India | Type: Full-time

Compensation: 40–60 LPA

About the Company

Comprehensive dental practice management platform helping clinics run operations end-to-end: scheduling, patient records, billing, reporting, and marketing automation.
Mission-driven team improving practice efficiency and 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.
Experience collaborating across time zones (US–India preferred).

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.

Lead Software Engineer - Agentic AI