Senior Software Solutions Engineer
ConcertAI
Company Overview
ConcertAI is at the forefront of revolutionizing healthcare with our cutting-edge AI and data solutions. Our mission is to accelerate insights, advance research, and improve patient outcomes in oncology and across life sciences. As a leader in real-world evidence (RWE) and data-driven technology, ConcertAI partners with top pharmaceutical companies, healthcare providers, and research institutions to enhance patient outcomes and streamline clinical research. By leveraging evidence-generation and artificial intelligence, we deliver unparalleled insights into treatment effectiveness, patient care, and disease progression to advance precision medicine and medical innovation.
Within the ConcertAI ecosystem, TeraRecon is a leading innovator in advanced visualization, artificial intelligence (AI), and image analysis solutions for healthcare. With a focus on improving clinical workflows and enhancing diagnostic precision, TeraRecon offers scalable platforms like Intuition and Eureka AI to integrate imaging, data, and AI-driven insights seamlessly. Additionally, CancerLinQ, an oncology-focused platform developed by ASCO and now part of ConcertAI, supports cancer centers and practices in improving care quality and discovery.
Joining ConcertAI means becoming part of a visionary team dedicated to transforming the healthcare landscape. You'll have the opportunity to work on innovative projects that directly impact patient lives, collaborate with some of the brightest minds in the industry, and be at the cutting edge of technological advancements in healthcare. ConcertAI offers a dynamic and inclusive work environment, competitive benefits, and ample opportunities for personal and professional growth. If you're passionate about making a difference in healthcare and excited by the prospect of working with advanced AI and data solutions, ConcertAI is the perfect place for you to thrive and make a lasting impact.
Role Summary
ConcertAI is seeking a hands-on 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. The ideal candidate should have experience with large multitenant solutions deployments in AWS environment, hands on Python development, SQL and hands on with current GenAI advancements like LLMs, RAG, and tools like LangChain and LangGraph for developing interactive agents. 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.
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.
Requirements
- Bachelor’s degree in computer science, Computer Engineering, or a related field.
- 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.
- Exposure to working with databases and building simple RESTful APIs.
- Knowledge of modern web frameworks (e.g., Flask, Django, FastFlask).
- 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.
Learn More About ConcertAI
Our team at ConcertAI is dedicated to transforming healthcare decision-making through the application of RWE and AI to improve patient outcomes. We work in a fast-paced, dynamic, high-performing culture where diversity, collaboration, and innovation are valued. Join us on our quest to create a world free of disease. Learn more about ConcertAI at www.concertai.com , or follow us on LinkedIn. Serving 1,300 clinical sites globally, TeraRecon - a ConcertAI company - is a Best in KLAS solution provider for AI-empowered radiology, oncology, cardiology, neurology, and vascular surgery. In the future, the combination with ConcertAI could bring a single, advanced AI-augmented diagnosis and interpretation capability from clinical trials to patient care. Learn more about TeraRecon at www.terarecon.com , or follow us on LinkedIn.
EEO
ConcertAI provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.