Lead Software Engineer - Agentic AI

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About Company

The client is a comprehensive dental software platform that simplifies the management of dental practices. Founded in 2014 by a dental professional, the company focuses on enhancing operational, financial, and marketing tasks through integrated technology and data-driven insights.

The platform includes tools for patient record management, appointment scheduling, billing, financial tracking, and marketing automation. It automates administrative tasks like appointment reminders and patient intake forms, improving workflow. Additionally, the patient portal allows patients to view treatment history, request appointments, and pay bills online, which enhances engagement and satisfaction. The client also provides reporting capabilities to help dental practices monitor key performance indicators, facilitating informed decision-making.

The software integrates with other dental management systems, ensuring seamless connectivity across practice functions. The company serves a diverse range of clients, including single and multi-practice dental owners, consultants, CPA firms, and marketing agencies, with a mission to empower dental professionals and positively impact patient care.

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.