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- Tasks: Fine-tune AI models for healthcare, collaborate with professionals, and innovate solutions.
- Company: Join a dynamic team at the forefront of AI in healthcare.
- Benefits: Competitive salary, growth opportunities, and a fun, supportive culture.
- Other info: Bring your unique personality to our collaborative environment!
- Why this job: Make a real impact on healthcare while working with cutting-edge technology.
- Qualifications: Experience in LLMs, Python, and healthcare workflows required.
The predicted salary is between 60000 - 80000 ÂŁ per year.
We are seeking a talented and motivated mid to senior level AI Engineer with expertise in developing and fine-tuning large language models (LLMs), healthcare workflows, and AI/ML engineering best practices. The ideal candidate will bring a deep understanding of healthcare-specific challenges and modern AI techniques to drive innovation in Value-Based Care solutions. Level and salary will commensurate with experience.
Key Responsibilities
- Fine-tune and optimize large language models (LLMs) to address specific healthcare applications.
- Develop and apply advanced prompt engineering techniques to enhance model outputs for clinical scenarios.
- Implement Retrieval-Augmented Generation (RAG) systems to improve knowledge retrieval from large datasets.
- Work with knowledge graphs to organize and integrate healthcare-specific data for enhanced decision-making.
- Evaluate black-box models using precision, recall, and other performance metrics, ensuring robustness and reliability.
Healthcare Expertise
- Collaborate with healthcare professionals to understand workflows and identify opportunities for AI-driven enhancements.
- Design and build AI models that align with healthcare standards and regulations (e.g., HIPAA compliance).
- Integrate domain-specific knowledge of healthcare data, including FHIR and interoperability standards, into AI solutions.
MLOps & Deployment
- Develop and maintain scalable, production-ready AI pipelines using MLOps tools.
- Deploy and monitor AI models in production environments to ensure performance and compliance.
- Optimize infrastructure for efficient training, testing, and deployment of models.
Innovation and Optimization
- Stay at the forefront of advancements in AI, especially in healthcare applications.
- Identify and resolve performance bottlenecks in AI workflows.
- Explore emerging trends and technologies in LLMs and healthcare to continually improve solutions.
Collaboration and Impact
- Partner with cross-functional teams, including data engineers and clinicians, to ensure seamless integration of AI into healthcare workflows.
- Communicate technical results and insights effectively to non-technical stakeholders.
Required Qualifications
- Proven experience in LLM fine-tuning and advanced prompt engineering.
- Strong background in Python and modern ML frameworks (e.g., Huggingface, pyTorch).
- Familiarity with healthcare workflows and regulatory requirements (e.g., HIPAA, FHIR standards).
- Hands-on experience with retrieval-augmented generation (RAG) techniques.
- Expertise in evaluating AI models using performance metrics like precision and recall.
Preferred Skills
- Experience with MLOps frameworks such as MLflow, Langfuse, or similar tools.
- Understanding of healthcare data standards, including HL7 and HEDIS metrics.
- Strong problem-solving skills in integrating AI with complex healthcare datasets.
- Familiarity with cloud platforms (e.g., AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
When applying
In addition to your resume, also include a highly personalized, bold, and hilarious “Keebler Health–style” introduction that grabs attention - outgoing, fun, and uniquely you (not uniquely ChatGPT). Think: confident, high-energy, slightly irreverent (but still professional), with a smart nod to healthcare, value-based care, and the fact that we’re building something real.
What We Offer
- Competitive salary and benefits package.
- Opportunity to work in a fast-paced, innovative environment.
- Professional growth and development opportunities.
- Collaborative and supportive team culture.
- Chance to make a meaningful impact on the healthcare industry.
AI Engineer (LLMs for Healthcare) in Durham employer: Keebler Health
Contact Detail:
Keebler Health Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer (LLMs for Healthcare) in Durham
✨Tip Number 1
Network like a pro! Reach out to folks in the healthcare and AI space on LinkedIn or at industry events. We all know that sometimes it’s not just what you know, but who you know that can land you that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to LLMs and healthcare. We love seeing real-world applications of your work, so make sure to highlight any innovative solutions you've developed.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of healthcare workflows and AI techniques. We want to see how you can apply your expertise to real challenges, so think about specific examples you can share during your chat.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love when candidates take the initiative to connect directly with us.
We think you need these skills to ace AI Engineer (LLMs for Healthcare) in Durham
Some tips for your application 🫡
Be Yourself: When crafting your application, let your personality shine through! We want to see the real you, so don’t be afraid to inject some humour and confidence into your introduction. Remember, we’re looking for someone who can bring a unique flair to our team.
Tailor Your Application: Make sure to tailor your resume and cover letter to highlight your experience with LLMs and healthcare workflows. Show us how your skills align with the role and the challenges we face in the healthcare sector. Specific examples will make your application stand out!
Showcase Your Skills: Don’t just list your qualifications; demonstrate them! Use your application to showcase your hands-on experience with AI/ML engineering, especially in healthcare contexts. We love seeing how you’ve tackled real-world problems using your expertise.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss any important updates. Plus, it shows you’re keen on joining our awesome team at StudySmarter!
How to prepare for a job interview at Keebler Health
✨Know Your LLMs Inside Out
Make sure you brush up on your knowledge of large language models, especially in the context of healthcare. Be ready to discuss your experience with fine-tuning and prompt engineering techniques, as well as how you've applied these skills to real-world clinical scenarios.
✨Showcase Your Healthcare Savvy
Demonstrate your understanding of healthcare workflows and regulations like HIPAA and FHIR standards. Prepare examples of how you've collaborated with healthcare professionals to identify AI-driven enhancements that align with industry standards.
✨Get Hands-On with MLOps
Familiarise yourself with MLOps tools and frameworks such as MLflow or Langfuse. Be prepared to discuss how you've developed scalable AI pipelines and deployed models in production environments, ensuring performance and compliance.
✨Bring the Energy with Your Introduction
Craft a bold and engaging introduction that reflects your personality. Use humour and confidence to make a memorable first impression, while still keeping it professional. Remember, they want to see the real you, so let your passion for healthcare and AI shine through!