לוח משרות דרושים ברמלה

Requirements:
Mandatory Skills:

5+ years of experience in software engineering, with strong proficiency in Python.

Experience with LangGraph, LangChain, or similar frameworks for building AI agents.

Strong understanding of LLMs, prompt engineering, and AI agent architectures.

Familiarity with REST APIs and integrating external data sources.

Preferred Skills:

Familiarity with the AI Agents ecosystem, including different LLM providers, vector store solutions, MCPs, and more.

Experience with evaluating LLM performance and quality.

Familiarity with cloud environments, especially AWS.

Requirements:
Minimum Qualifications:

A PhD in computer science or related fields with 5 years of industry or academic experience in artificial intelligence, OR Masters with 7 years of related industry experience OR Bachelors with 10 years of related industry experience.
Strong programming skills in generic programming languages such as Python.

Experience in one or more of the following areas:
Designing and building scalable, reliable, and secure backend infrastructure (e.g., distributed systems, cloud services, data pipelines, APIs) for large-scale applications.
A strong background in AI, machine learning, and deep learning technologies, with a solid understanding of core ML concepts such as bias and variance, supervised and unsupervised learning, and Generative AI.
Developing, training, fine-tuning, or evaluating AI/ML models, algorithms, or platforms (including deep learning, reinforcement learning, generative models, etc.).

Preferred Qualifications:

Comfortable with fast, iterative development cycles in an environment that requires autonomous thinking, risk taking and bias for action.
Ability to use the latest GenAI technologies and methodologies for software development workflows.
Familiarity with ML frameworks like PyTorch.
Excellent written and verbal communication skills, strong analytical and problem-solving skills.
Fluency in reading academic papers on AI/ML and security and the ability to translate their ideas into prototype or production systems.