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Requirements:
Significant experience managing IT projects.
Experience managing technology teams or leading large-scale technology initiatives.
Strong technological background with the ability to lead and guide at the architectural level.
Professional-level experience and deep familiarity with oracle / SAP and ERP systems.
Proven experience in business development, client growth, and expanding existing customer accounts.
Proven experience identifying business opportunities and driving commercial growth initiatives.
Strong commercial acumen combined with solid technological understanding.
Experience with cloud, development, architecture, or information systems is an advantage.
Excellent interpersonal and conflict management skills with high emotional intelligence.
Fluent English and experience working with international teams and clients.
Ability to work independently, make decisions, handle high workloads, and effectively manage multiple priorities simultaneously.

Requirements:
Technical Expertise:
Programming: Advanced proficiency in Python for backend development and AI applications
GenAI Mastery: Deep understanding of large language models (LLMs) and experience with major model APIs (OpenAI, Anthropic, Google, etc.)
Multi-Agent Systems: Expertise in designing and implementing GenAI multi-agent architectures
Prompt Engineering: Advanced skills in prompt design, optimization, and engineering techniques
Cloud Platforms:
Required: Hands-on experience with AI services in at least one major cloud platform (GCP, Azure, or AWS)
Advantage: Experience across multiple cloud platforms (AI Search, Vertex AI, SageMaker, etc.)
Development Frameworks: Experience with GenAI frameworks like LangChain and cloud-based retrieval services
Software Engineering: Strong background in microservices architecture, API development, and production system design
AI/ML Fundamentals: Solid understanding of deep learning principles and GenAI techniques
Containerization (Advantage): Experience with Docker and Kubernetes for deployment and orchestration
OCR Technologies (Advantage): Experience with Optical Character Recognition systems and document processing
Data Pipelines (Advantage): Experience building and maintaining data processing pipelines
Professional Experience:
Mid+ Level Experience: 2+ years in AI/ML development with significant GenAI project experience
Production Systems: Proven track record of deploying and maintaining AI solutions in production environments
Client-Facing Experience: Comfortable with technical presentations and requirement gathering sessions
Education & Background:
Preferred: Bachelor's or Master's degree in Computer Science, AI, Machine Learning, or related technical field
Alternative: Demonstrated industrial experience in developing deep learning and GenAI solutions (degree not required with strong portfolio)
Soft Skills:
Problem-Solving: Excellent analytical and creative problem-solving abilities
Communication: Strong technical communication skills for both technical and non-technical audiences
Collaboration: Proven ability to work effectively in cross-functional teams
Adaptability: Thrives in fast-paced environments and eager to learn emerging technologies
Consulting Mindset: Ability to understand client needs and provide strategic technical guidance

Requirements:
Bachelor's or Master's degree in Computer Science, Engineering, or a related field
3+ years of experience in data engineering
Expertise in Elasticsearch, cloud technologies (such as AWS, Azure, or GCP), Kafka and Databricks
Proficiency in programming languages such as Python, Java, or Scala
Experience with distributed systems, data warehousing and ETL processes
Experience with Container environment such AKS\EKS\OpenShift is a plus
high security clearance is a plus

Requirements:
At least 3+ years of professional backend development experience using C# and .NET
Significant experience designing and developing REST APIs and microservices
Strong knowledge of software architecture, design patterns, and distributed systems
Hands-on experience with SQL, relational databases, and data modeling
Experience developing and deploying solutions on Microsoft Azure
Hands-on experience with Docker and Kubernetes
Experience with CI/CD pipelines, source control systems, and production deployments
Strong understanding of application security, authentication, and authorization
Experience with unit testing, integration testing, monitoring, and production troubleshooting
Ability to independently lead technical tasks and make sound engineering decisions
Advantages:
Experience with AWS or other cloud platforms
Familiarity with event-driven architecture, messaging systems, and asynchronous processing
Experience with NoSQL databases, caching solutions, or infrastructure as code
Previous experience in technology consulting, enterprise projects, or client-facing roles
Education:
Bachelors degree in Computer Science, Software Engineering, Information Systems, or a related technical field
Significant professional experience may be considered as an alternative to academic education
Soft Skills:
Strong analytical and complex problem-solving abilities
Ability to explain technical topics clearly to both technical and business stakeholders
Strong ownership, independence, and commitment to quality
Ability to work effectively in cross-functional teams
Adaptability and willingness to learn new technologies.

Requirements:
1-2 years of experience in AI, Data, Technology Consulting, Digital Transformation, Product, or related technology-focused roles.
Ability to bridge business and technology, translating business needs into practical AI, data, and technology solutions.
Understanding of AI and data solution architectures, system integration, APIs, cloud services, and the key considerations involved in moving from concept to implementation.
Bachelor's degree in Computer Science, Data Science, Information Systems, Engineering, Artificial Intelligence, or a related field.
Strong understanding of AI, Generative AI, Machine Learning, and Data Analytics.
Familiarity with AI platforms, LLMs, cloud technologies, and modern data ecosystems.
Strong analytical and problem-solving skills.
Excellent communication and presentation skills in Hebrew and English.
Experience working with clients and senior stakeholders is an advantage.