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.