Applied AI Engineer at Spesia transforming clinical data into real healthcare AI tools for doctors and patients. Developing machine learning models and implementing AI in health applications.
About the role
- AI Engineer developing production-ready AI features for Easygenerator’s e-learning products. Collaborating across teams to integrate intelligent solutions for learning and assessment.
Responsibilities
- Design, develop, and deliver AI-powered features across Easygenerator’s products.
- Work with modern LLM frameworks and toolchains (LangChain, LangGraph, LangFuse, etc.) to build RAG systems, AI Agents, and dynamic authoring workflows.
- Work in a highly capable cross-functional team environment (Engineering, Product, and Design) to integrate AI seamlessly into our well architected and distributed product.
- Apply solid AI engineering principles — from planning and testing to deployment, evaluation, and continuous improvement.
- Optimize and fine-tune open-source or hosted LLMs to balance performance, accuracy, and cost.
- Contribute to LLMOps and AI observability, improving reliability, evaluation, and monitoring pipelines.
- Stay on top of emerging AI tools and frameworks, helping shape Easygenerator’s AI vision and roadmap.
Requirements
- 2+ years of experience building and deploying production-grade AI applications
- 4+ years of web application engineering experience
- Solid understanding of machine learning and deep learning fundamentals
- Practical knowledge of LLMs, their components (tokenization, attention, embeddings, vector search), and common limitations
- Hands-on experience with RAG pipelines, Agents, and Vector Stores
- Familiarity with LLMOps practices — monitoring, evaluation, and feedback loops
- Strong understanding of software engineering principles and SDLC
- Comfortable working beyond notebooks — building APIs, services, and integrations
- Strong understanding of high-level programming language like Python
- Good understanding of version control, CI/CD, testing frameworks, and data handling/ETL
- Working knowledge of Docker and containerized environments
- Familiarity with AWS or other cloud providers. (Plus)
- Basic experience with a backend framework (e.g., FastAPI, Express.js or similar). (Big Plus)
Benefits
- Health insurance
- 401(k) matching
- Remote work options
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Senior Platform AI Engineer focused on AI infrastructure and frameworks at Nexxen in Tel Aviv. Building next - gen AI capabilities for diverse products.
AI Engineer developing Agentic AI applications for Ford's Customer Service Division. Leading intelligent system development to improve service advisor efficiency with complex data synthesis.
Senior AI Engineer responsible for data preparation in foundation model pre - training for various German - speaking industries. Collaborating on data quality and processing to enhance model capabilities.
AI Architect at Intelligen designing scalable AI and data solutions using Microsoft Fabric for APAC clients. Leading architecture for enterprise AI use cases and platform modernization initiatives.
(Senior) AI Engineer - Consultant helping clients implement AI solutions and integrate them into existing processes. Engaging in workshops to identify potential and analyze data for seamless integration.
Founding AI Engineer position at Grand focused on building and managing AI systems and ensuring their safe operations. Collaborate closely with founders and other teams in a hybrid work environment.
AI Engineer building real - world AI systems for Calibrax AI. Delivering end - to - end AI solutions, including model development and infrastructure management.
AI Engineer designing AI - powered document processing systems for real estate transactions at myAbode. Leading architecture strategy and mentoring engineers in a fast - paced environment.
AI Engineer at Ledge developing AI - driven solutions for automated financial processes. Responsible for AI system ownership, evolution, and collaboration with finance teams.