About The Position

We’re hiring a Machine Learning Engineer to accelerate AI-driven innovation across our B2B SaaS product and the broader Stampli organization.

This is a hands-on, end-to-end development role where you'll lead the implementation of ML/LLM-based solutions that boost operational efficiency and deliver exceptional product experiences. As an AI-First company, we embed AI across every department and workflow—you'll be at the heart of this transformation.

You will collaborate closely with product managers, engineers, and stakeholders to identify impactful AI opportunities, build state-of-the-art systems, and scale them across the organization.

What You Will Do

• AI-First Development: Design and implement POCs and production-ready ML/LLM solutions that address real-world business problems.
• End-to-End Execution: Own projects from research through deployment, including model training, evaluation, integration, and monitoring.
• Tool Evaluation: Stay current with state-of-the-art ML/LLM tools and frameworks (e.g., LangChain, Hugging Face Transformers, TensorFlow, PyTorch) and recommend their application.
• Collaboration: Partner with engineering, product, and operations teams to embed AI into user-facing features and internal workflows.
• System Integration: Build scalable microservices and APIs to deliver AI capabilities across the product.
• Operationalization: Contribute to DevOps practices for CI/CD, observability, and ongoing optimization of AI models.
• Strategic Reporting: Communicate progress and insights directly to senior management.
  
  

• 6+ years of experience as a Backend and/or Machine Learning Engineer.
• Bachelor’s degree in Computer Science or a related field from a leading university.
• Proficiency in Python and Java or C#.
• Experience with ML and Generative AI frameworks such as LLMs, LangChain, Hugging Face, TensorFlow, or PyTorch.
• Deep understanding of software architecture and deployment patterns (e.g., microservices).
• Strong problem-solving skills and the ability to quickly develop working solutions.
• Excellent communication and collaboration capabilities.
• Self-starter attitude with a passion for continuous learning.
  
  

• M.Sc. in Computer Science, Software Engineering, or a related field.
• Experience developing and scaling LLM-powered applications.
• Familiarity with DevOps practices including CI/CD pipelines and cloud infrastructure.
  
  

• High-impact ownership of critical AI systems across our product and organization.
• Freedom to take initiatives from idea to fully deployed solutions.
• Hybrid work model: 3 days/week in our vibrant Tel Aviv HQ (Tue–Thu), rest remote.
• Stock options—you grow with us.
• Exposure to cutting-edge AI technologies and learning opportunities.
• Supportive leadership and a fast-moving, collaborative culture.