Senior AI Engineer
We are gathering an outstanding team of talented and agile people who will lead and grow the company, and looking for an experienced AI Engineer, with a passion for making a major change in the way health organizations analyze and extract insights from medical indicators. Someone who will join our journey to develop diagnostic tools based on the latest machine learning, Deep Learning and GenAI techniques.
The ideal candidate will possess hands-on experience in developing and deploying LLM-native apps in production, including significant data science and NLP experience. As we are in the process of building our product and services, each new team member can significantly impact our technology, team, and product. Joining us at this juncture offers a unique opportunity to grow in responsibilities and influence as our company expands.
The role – As an AI Engineer, your key responsibilities will include:
- Conducting research and experiments to leverage generative AI models and techniques to solve real-world challenges in healthcare.
- Designing and implementing LLM-native pipelines, including fine-tuning existing generative AI models and developing applications based on them.
- Collaborating with cross-functional teams to enhance our medical file summarization tool, which helps physicians better manage and improve the patient journey for individuals with autoimmune diseases.
- Driving innovation in digital healthcare by applying AI to streamline and optimize the use of medical data.
Job requirements
- 1+ years of hands-on experience developing and deploying LLM-native applications inproduction.
- 3+ years of hands-on experience in software development (preferably in Python).
- Proven experience working with cloud platforms (e.g., AWS, GCP, Azure), Docker, Linux, and NoSQL databases.
- Academic background in exact sciences or engineering.
- Strong problem-solving skills, technical independence, and attention to code quality and efficiency.
Additional Skills that Stand Out
- Experience with RAG and structured generation frameworks (e.g. LangChain, LlamaIndex).
- Familiarity with multi-agent systems.
- 2+ years of experience in data science and machine learning, including model training and deployment on tabular and text data.
- Background or experience in digital health or working with clinical data.
Reach out through –simone@predicta-med.com
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