ConcertAI is seeking a solutions engineer to build and enhance its next-generation Clinical AI agentic platform and analytics products, processing large volumes of real-world healthcare data to generate insights and optimize clinical trial design.
Requirements
- Experience with designing and building SaaS and PaaS based multitenant solutions deployments in AWS
- Hands on with Python and SQL, with hands-on experience using interactive notebooks (e.g., Jupyter).
- Proven experience in machine learning based solutions , particularly with LLMs.
- Professional experience with LLM prompting (e.g., ChatGPT, Claude, LLaMA).
- Experience with LangChain and LangGraph (Good to have).
- 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.
Responsibilities
- In this role, you'll help develop and maintain the Clinical solutions with conversation layer using a combination of software and prompting skills to enable AI-driven clinical conversations.
- Design 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.
- Design and develop scalable, high-performing, and security-compliant APIs, services, and algorithms for production use.
- Maintain high engineering standards by ensuring code consistency, thorough testing, and seamless integration across software components.
Other
- Serving as the technical point person, they will collaborate closely with product managers, data scientists, and the development team to drive the product's technology and business roadmap forward.
- 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.
