Ramat Gan, Tel-Aviv District, Israel · On-site
We are seeking a highly skilled AI/LLM Application Engineer to build and deploy intelligent applications for the healthcare sector. This role requires a strong software development background and deep expertise in develo…
Skills: Python, Large Language Models, Agentic Workflows, Multi-modal Data Integration, Prompt Engineering
Sign up with Clera and we'll reach out the moment a role actually fits you — no more spraying applications into the void.
Design and deploy production-level LLM applications and agentic workflows tailored for the healthcare sector. Architect multi-modal data pipelines to integrate complex clinical information into actionable insights while ensuring HIPAA compliance.
Requires a degree in Computer Science or a related field with at least 2 years of experience in production LLM applications and agentic frameworks. Proficiency in Python and experience handling multi-modal clinical data are essential.
We are seeking a highly skilled AI/LLM Application Engineer to build and deploy intelligent applications for the healthcare sector. This role requires a strong software development background and deep expertise in developing production-level applications with Large Language Models (LLMs). The ideal candidate will excel at building agentic workflows and multi-modal data integration pipelines for clinical applications, with a focus on optimizing application performance. A strong commitment to patient privacy, security, and ethical AI is essential.
Responsibilities:
Required Skills and Qualifications:
Education: Bachelor’s or Master’s degree in Computer Science, Software Engineering, Data Science, or a related technical field.
Programming Expertise: Proficient in Python programming with proven experience developing production-grade applications, including robust data processing pipelines, API integration, error handling, and performance optimization.
Data Analysis & Engineering: Strong data analysis capabilities with experience in exploratory data analysis (EDA), statistical reasoning, feature engineering, and deriving actionable insights from complex datasets. Proficiency with data manipulation libraries (pandas, numpy) and visualization tools is required.
LLM Applications (Required): Minimum 2+ years of hands-on experience developing and deploying production-level applications using LLMs and generative AI, with demonstrated ability to process and engineer features from multi-modal clinical data sources. Experience with prompt engineering, fine-tuning, and LLM evaluation techniques is highly valued.
Agentic Workflows (Required): Proven track record building and deploying agentic workflows and multi-agent systems in production environments, using frameworks such as Agno, CrewAI, LangGraph, or similar tools.
Multi-Modal Data Integration: Practical experience working with diverse data modalities, including structured, semi-structured, and unstructured data (documents, images, clinical narratives, lab results, medication records).
Healthcare Domain: Understanding of clinical workflows and regulatory constraints (HIPAA) in healthcare environments.
Soft Skills: Exceptional problem-solving abilities, strong communication skills to bridge technical and clinical teams, and meticulous attention to detail crucial for healthcare applications.
Preferred Qualifications:
For every healthcare provider wanting to spend more time treating patients and less time clicking buttons
Droxi™ is the AI-powered inbox companion for EHR users, designed to restore clinician time, reduce burnout, and streamline high-friction workflows like refills, patient messages, and labs- without adding complexity or requiring behavior change.
Offices: 867 Boylston St, Boston, Massachusetts 02199, US · 241 W Federal St, Youngstown, Ohio 44503, US · 629 N High St, Columbus, Ohio 43215, US
For every healthcare provider wanting to spend more time treating patients and less time clicking buttons
Droxi™ is the AI-powered inbox companion for EHR users, designed to restore clinician time, reduce burnout, and streamline high-friction workflows like refills, patient messages, and labs- without adding complexity or requiring behavior change.
Offices: 867 Boylston St, Boston, Massachusetts 02199, US · 241 W Federal St, Youngstown, Ohio 44503, US · 629 N High St, Columbus, Ohio 43215, US
