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ConcertAI is seeking to build and enhance its next-generation Clinical AI agentic platform and analytics products to process large volumes of real-world healthcare data for generating insights and optimizing clinical trial design.

Requirements

• Proficiency in Python and SQL, with hands-on experience using interactive notebooks (e.g., Jupyter).
• Proven experience in machine learning research and development, particularly with LLMs.
• Professional experience with LLM prompting (e.g., ChatGPT, Claude, LLaMA).
• Experience with LangChain and LangGraph.
• Experience in machine learning R&D, particularly in designing, testing, and optimizing LLM-based solutions.
• Ability to assess model outputs, refine prompt designs, and improve overall system performance.
• Exposure to working with databases and building simple RESTful APIs.

Responsibilities

• In this role, you'll help develop and maintain the conversation layer using a combination of software and prompting skills to enable AI-driven clinical conversations.
• Design complex prompts within the conversation planning layer to support advanced agentic model workflows.
• Collaborate with subject matter experts to define standard outcomes and continuously refine prompt designs for maximum efficiency and effectiveness
• Write, configure, and refine prompts to facilitate engaging, oncology curator-oriented interactions.
• Apply advanced prompting techniques to enhance language model performance, ensuring clinical safety and an improved trial experience.
• Conduct experiments and analyze model outputs to refine and optimize prompt strategies.
• Design and develop scalable, high-performing, and security-compliant APIs, services, and algorithms for production use.

Other

• Bachelor’s degree in computer science, Computer Engineering, or a related field.
• Strong analytical skills and problem-solving mindset.
• Eagerness to learn new technologies and adapt in a fast-paced environment.
• Understanding of healthcare workflows and regulatory requirements.
• Awareness of data privacy and security best practices, especially in regulated environments.