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About Company
A rapidly growing SaaS company operating in the healthcare technology space, focused on building smart, data-driven solutions that help service providers improve operational efficiency and patient engagement. The platform is purpose-built for a specialized segment within healthcare, with deep use cases tailored for practices like dental care. With a strong and growing customer base across global markets, the company is on a mission to simplify practice management through intuitive tools and automation — all driven by a passionate, cross-functional team.
Position Overview
You champion the technical vision for AI-powered products that transform patient interactions in dental practices. You architect and deliver greenfield conversational AI solutions, starting with a chatbot that automates thousands of healthcare conversations each day. As the platform grows, you own additional AI initiatives and shape the future of automation in dental practice management.
Role & Responsibilities
- Lead the technical development of conversational AI chatbots from current phase through production scale.
- Own additional AI products and initiatives as they emerge in the product roadmap.
- Define technical strategy and architecture for AI-powered features across the platform.
- Drive innovation in AI applications for healthcare and practice management.
- Design and implement scalable AI conversation systems for voice and chat across multiple channels.
- Architect LLM integration strategies that balance response quality, latency, and cost.
- Build robust conversation orchestration using frameworks such as LangChain or custom solutions.
- Ensure system reliability, observability, and performance monitoring at scale.
- Design multi-turn conversation flows with state management and context retention.
- Implement prompt-engineering strategies for diverse business use cases.
- Fine-tune LLM behaviour for healthcare-specific applications.
- Build guardrails and safety mechanisms for patient-facing interactions.
- Integrate with practice management systems (e.g., Dentrix, Open Dental, Eaglesoft) for real-time data sync.
- Implement secure authentication systems, including multi-factor verification.
- Build RESTful APIs for dashboards and system integrations.
- Ensure HIPAA compliance across all data handling and storage.
- Provide technical mentorship to junior developers and conduct code reviews.
- Work closely with Product Management to translate requirements into technical specifications.
- Participate in sprint planning, daily stand-ups, and product reviews.
- Contribute to technical documentation and drive engineering best practices.
- Collaborate effectively across time zones with US-based stakeholders.
Must have Criteria
- 7+ years of software development experience with progressive responsibility.
- 2+ years building and deploying AI/ML systems in production.
- Track record of shipping products that reached market and scaled to significant user bases.
- Hands-on experience with LLM-based applications (e.g., GPT-4, Claude) in production.
- Background in real-time systems or conversational AI (chatbots or voice assistants).
- Experience leading technical initiatives or mentoring development teams.
- Strong proficiency in Python for AI system development.
- Experience with LLM frameworks such as LangChain or LlamaIndex.
- API development skills: RESTful services, webhooks, third-party integrations.
- Experience with cloud platforms (AWS, GCP, or Azure) and services like Lambda, S3, RDS.
- Database experience with PostgreSQL, MongoDB, or similar for conversation state management.
- Voice processing experience with STT/TTS APIs (Deepgram, ElevenLabs, AssemblyAI) or similar.
- Understanding of async programming, event-driven architectures, and real-time systems.
- Deep understanding of LLM capabilities and limitations.
- Practical experience with prompt engineering, Agentic Architecture, and conversation design.
- Knowledge of RAG (Retrieval-Augmented Generation) patterns.
- Familiarity with model evaluation, testing, and monitoring.
- Ability to optimise costs for LLM-based systems.
- Proven ability to lead projects from conception to production.
- Strong problem-solving and analytical skills.
- Excellent communication with technical and non-technical stakeholders.
- Ability to work independently and drive projects to completion.
- Comfortable in a fast-paced startup environment with evolving requirements.
- Experience collaborating across time zones (US-India preferred).
Nice to Have
- Experience building voice AI systems or telephony integrations (Twilio, Vonage).
- Knowledge of healthcare/HIPAA compliance requirements.
- Background in NLP or speech recognition technologies.
- Familiarity with monitoring and observability tools (Datadog, New Relic, Sentry).
- Previous experience in SaaS or B2B product companies.
- Contributions to open-source AI projects or active presence in the AI community.
- Experience with multi-tenant architecture and enterprise integrations.
- Track record of scaling products from early stage to growth.
- Bachelor’s or Master’s degree from top-rated institutions (IITs/IIMs or equivalent).
- Relevant certifications in AI or related fields.
