AI Engineer - Conversational Agents

@ Diagnostic Robotics

About Us

At Diagnostic Robotics, we build AI-driven voice and chat agents to empower healthcare providers, payers, and value-based care teams. Our technology predicts adverse health events, enables early intervention, and automates routine administrative tasks, reducing costs, easing provider burden, and improving patient outcomes.

The Role

We are seeking a hands-on AI Engineer with both research expertise and engineering experience to lead the development of the AI core for our conversational agents. You will own the end-to-end AI lifecycle from design and KPI definition through model development, fine-tuning, evaluation, deployment and continuous optimization in production. Work in a fast-moving startup environment while collaborating closely with our engineering team to integrate advanced AI capabilities directly into our product.

Key Responsibilities

• Research & Innovation: Stay current with the latest in LLMs, generative AI, and multi-agent systems; experiment with new methods and evaluate real-world performance.
• Prompt Engineering: Design, test, and optimize prompts; develop prompt libraries, templates, and automated testing frameworks for reliability and consistency.
• Model Development & Optimization: Adapt LLMs for specific use cases and optimize for speed, accuracy, and cost.
• Performance Measurement: Define KPIs for conversational agent quality, build evaluation frameworks to monitor and improve performance in production.
• Engineering & Deployment: Design, implement, and maintain production-ready AI pipelines in Python (and optionally Node); handle large-scale data ingestion, preprocessing, and analysis; integrate AI modules into overall product architecture.

Must-Have

• Master’s or PhD in Computer Science, AI/ML, Mathematics or related field.
• 4+ years of professional development experience in Python (Node.js is a plus).
• Proven applied research experience in LLMs, NLP, or conversational AI.
• Experience deploying AI models to production with iterative improvements based on feedback.
• Expertise in prompt engineering and multi-agent systems.
• Solid understanding of performance metrics and evaluation methodologies.
• Strong communication skills and a collaborative mindset.

Nice-to-Have

• Experience in cloud environments (AWS, GCP, Azure).
• Background in healthcare technology and compliance (HIPAA, HL7/FHIR).

Impact & Ownership

Your work will directly influence patient care and healthcare efficiency as you lead AI initiatives within a dynamic startup environment.

Key skills/competency

AI Engineer - Conversational Agents, LLMs, NLP, Python, prompt engineering, production AI, research, model optimization, evaluation, deployment