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- Tasks: Develop and enhance AI-driven clinical platforms using real-world healthcare data.
- Company: ConcertAI is revolutionising healthcare with AI and data solutions for better patient outcomes.
- Benefits: Enjoy a dynamic work environment, competitive benefits, and growth opportunities.
- Why this job: Make a real impact in healthcare while working with cutting-edge technology and brilliant minds.
- Qualifications: Bachelor’s degree in computer science or related field; proficiency in Python, SQL, and LLMs required.
- Other info: Join a diverse team dedicated to transforming healthcare decision-making.
The predicted salary is between 54000 - 84000 £ per year.
Join to apply for the Senior Software Engineer role at ConcertAI
Join to apply for the Senior Software Engineer role at 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.
Job Requirements
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 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 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 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.
- Maintain high engineering standards by ensuring code consistency, thorough testing, and seamless integration across software components.
Qualification
- Bachelor’s degree in computer science, Computer Engineering, or a related field.
- 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.
- Knowledge of modern web frameworks (e.g., Flask, Django, or Spring Boot).
- 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 , 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 , 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.
Seniority level
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Seniority level
Mid-Senior level
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Employment type
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Job function
Engineering and Information Technology
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Senior Software Engineer employer: ConcertAI
Contact Detail:
ConcertAI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Software Engineer
✨Tip Number 1
Familiarise yourself with the latest advancements in AI and machine learning, particularly in the context of healthcare. Understanding how LLMs and tools like LangChain and LangGraph are applied in real-world scenarios will give you a significant edge during discussions.
✨Tip Number 2
Network with professionals in the healthcare tech space, especially those working with AI solutions. Engaging in conversations about current challenges and innovations can provide insights that may be beneficial during your interview.
✨Tip Number 3
Prepare to discuss specific projects where you've implemented machine learning or AI solutions. Be ready to explain your thought process, the challenges you faced, and how you overcame them, as this will demonstrate your hands-on experience.
✨Tip Number 4
Stay updated on regulatory requirements and data privacy best practices in healthcare. Showing awareness of these aspects will highlight your understanding of the industry and its complexities, making you a more attractive candidate.
We think you need these skills to ace Senior Software Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience and skills that align with the requirements of the Senior Software Engineer role at ConcertAI. Focus on your proficiency in Python, SQL, and any experience with LLMs and machine learning.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for healthcare technology and how your background makes you a perfect fit for ConcertAI. Mention specific projects or experiences that demonstrate your ability to work with AI and data solutions.
Showcase Relevant Projects: Include examples of past projects where you've developed or worked with AI-driven solutions, particularly in healthcare or related fields. Highlight your role, the technologies used, and the impact of your work.
Highlight Collaboration Skills: Since the role involves working closely with product managers and data scientists, emphasise your teamwork and communication skills. Provide examples of how you've successfully collaborated on technical projects in the past.
How to prepare for a job interview at ConcertAI
✨Understand the Company Mission
Before your interview, make sure you understand ConcertAI's mission to revolutionise healthcare through AI and data solutions. Familiarise yourself with their projects and how they impact patient outcomes, as this will show your genuine interest in the role.
✨Showcase Your Technical Skills
Be prepared to discuss your experience with LLMs, RAG, and tools like LangChain and LangGraph. Bring examples of past projects where you've successfully implemented these technologies, as this will demonstrate your hands-on expertise.
✨Prepare for Problem-Solving Questions
Expect to face technical challenges during the interview. Brush up on your problem-solving skills and be ready to walk through your thought process when tackling complex issues related to AI-driven clinical conversations or API development.
✨Ask Insightful Questions
At the end of the interview, ask questions that reflect your understanding of the role and the company. Inquire about the team dynamics, ongoing projects, or future innovations at ConcertAI. This shows your enthusiasm and helps you gauge if the company is the right fit for you.