Chatbot Engineer (Healthcare LLM Platform)

About PulseMed PulseMed provides white-label, physician-controlled AI platforms for medical practices. Our chatbots deliver 24/7 patient support using only physician-approved content, solving the accuracy and trust problems that make general-purpose AI unsafe for clinical use. We’re deployed in live healthcare environments with a production-proven framework that includes curated knowledge bases, HIPAA-compliant de-identification, triage workflows, embeddable widgets, and integrated admin dashboards. We’re looking for an AI Agent / Chatbot Engineer to help us design, build, and scale healthcare-specific AI agents on top of this framework. Key Responsibilities - Build and optimize AI chatbots - Design and implement LLM-powered agents for patient support and education. - Use retrieval-augmented generation (RAG) to ground responses in physician-approved documents. - Keep hallucination rates low and ensure every response is traceable to its sources. - Work with knowledge retrieval & data - Ingest and process PDFs, protocols, and handouts (including OCR for scanned documents). - Implement and tune document chunking, indexing, and relevance scoring. - Help maintain a tiered knowledge system: practice content → public guidelines → physician referral. - Safety, triage & compliance - Implement emergency keyword detection and escalation logic (e.g., 911/ER flows). - Collaborate with clinicians to encode practice-specific triage and escalation rules. - Work within HIPAA-minded workflows, including PHI de-identification and audit-friendly logging. - Conversation quality & UX - Design prompts and system behavior for empathetic, concise, patient-friendly responses. - Ensure the AI adapts tone to patient emotion and context and maintains conversation memory. - Use analytics to identify issues, knowledge gaps, and improvement opportunities. - Integrations & product collaboration - Help embed chatbots as widgets into client sites and portals. - Work with product/engineering on integrations with EHRs, scheduling systems, and internal dashboards. - Tailor agents for different specialties (e.g., pediatrics, orthopedics, etc.). Required Qualifications - Promptness and communication skills: we work fast and we need someone to keep up with us. This is imperative and can be the cause of termination. -Experience building production conversational AI, LLM agents, or chatbots. - Strong programming skills in Python and/or JavaScript/TypeScript (Node.js) - Hands-on experience with LLM APIs (e.g., OpenAI, Anthropic) and prompt engineering. - Experience with retrieval-augmented generation (RAG) - Document ingestion and chunking. - Vector search / retrieval systems. - Proven ability to ship features end-to-end (design, implementation, monitoring, iteration). - Comfort working in a setting where safety, reliability, and traceability are critical. Nice to Have - Experience in healthcare, digital health, or other regulated environments. - Familiarity with HIPAA and PHI-safe system design. - Experience with: - Clinical decision support or triage logic. - OCR and PDF/document processing. - Analytics dashboards and experimentation. - Embeddable widgets, frames, and cross-origin integrations. What We Offer - The chance to build AI that is used daily by real patients and physicians. - A mission-driven team focused on safe, accurate, humanistic healthcare AI. - Close collaboration with physician-founders and a small, high-ownership engineering team. - Fully remote role with flexibility and autonomy. Job Types: Part-time, Contract Pay: From $40.00 per hour Expected hours: 5 – 10 per week Benefits: Flexible schedule Work Location: Remote