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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.

Requirements:
* Education & Experience
* B.Sc. or M.Sc. in Mechanical Engineering, Electrical Engineering, Software Engineering, or a related field.
* Extensive, proven management experience leading multidisciplinary teams (specifically encompassing mechanics, software, control, and electrical disciplines).
* Demonstrated experience working and thriving in the dynamic, fast-paced environment of a startup.
* Advantage: Previous experience in the printing industry. Technical Skills
* Deep understanding and hands-on background in multi-disciplinary machine development, automation, motion control, and software architecture.
* Proven track record in managing complete technological lifecycles, from R&D to field deployment and customer support. Leadership Skills
* Excellent interpersonal and communication skills.
* A proactive "driver" who pushes execution forward with high energy and dedication.
* Strong sense of accountability, capable of taking full ownership and leading by example.
* Outstanding teamwork capabilities with the ability to build strong, collaborative relationships across the organization.
Key Competencies:
* Ability to work effectively in high-pressure, fast-moving environments.
* Holistic, system-level thinking combined with deep technical domain expertise.
* Customer-centric approach to field implementation and technical support.

Requirements:
* Bachelor's degree in Engineering or related field.
* Minimum of 5 years of experience in new product introduction or a related field.
* Proven experience in project management and cross-functional team collaboration.
* Strong understanding of manufacturing processes and quality standards.
* Excellent problem-solving and analytical skills.
* Familiarity with optical products and technologies is a plus.
* Strong communication and leadership skills.

Requirements:
** PLEASE ATTACH YOUR GRADES SHEET**
* B.Sc. / M.Sc. in Computer Science, Electrical Engineering, or a related field.
* Knowledge of Linux and scripting languages.
* Knowledge of Python; experience with C/C++ and TCL is an advantage.
* Familiarity with Git version control is an advantage.
* CI/CD and DevOps knowledge is an advantage.
* VLSI/Semiconductor knowledge is an advantage.
* Strong problem-solving skills and a service-oriented mindset.
* Self-motivated, eager to learn, and able to work in a team environment ** PLEASE ATTACH YOUR GRADES SHEET**

Requirements:
You're Our Person If...
8+ years of development experience as a software engineer.
Deep knowledge of object-oriented programming and other scripting languages: Java, Python, Scala C#, Go, Node.JS and C++.
Strong SQL skills and experience with relational and non-relational databases e.g. (Postgres/Trino/redshift/Mongo).
Experience with developing SAAS products over public cloud infrastructure - AWS/Azure/GCP.
Proven experience designing and developing distributed systems at scale.
Proficiency in queues, locks, scheduling, event-driven architecture, and workload distribution, along with a deep understanding of relational database and non-relational databases.
A demonstrated, genuine AI-first approach to engineering - using AI to move faster, build fluency across the stack, and contribute well beyond your core specialty.
Experience using AI tools (e.g., Claude Code, GitHub Copilot, Codex, Cursor, etc.) in development workflows.
Advanced prompt engineering skills and the ability to write precise, structured prompts and cultivate the system context that makes AI outputs reliable, secure, and production-ready.
A deeper understanding of software development best practices and demonstrate leadership skills.
Degree or equivalent relevant experience required. Experience will be evaluated based on the core competencies for the role (e.g. extracurricular leadership roles, military experience, volunteer roles, work experience, etc.).


Even Better If...
Technical expertise in Generative AI, particularly with RAG systems and Agentic workflows that use large language models.
Experience with Big-Data/ML and S3.
Hands-on experience with Streaming technologies like Kafka.
Experience with Elastic Search.
Experience with Terraform, Kubernetes, Docker.
Experience working in a high-paced and rapidly growing multinational organization.

Requirements:
You're Our Person If...
You have 10+ years of software engineering or technical delivery experience, with proven end-to-end ownership of scalable production systems in enterprise AI, cloud, or SaaS environments.
You have a degree in Computer Science or a related field
You're an expert in at least one of Python, JavaScript/TypeScript, Java, or Apex, and conversant in the others.
You've integrated LLMs into production, used frameworks like LangChain or LlamaIndex, and applied prompt engineering and responsible AI practices in real customer contexts.
You have deep experience in data modeling, processing, and analytics, with demonstrable proficiency across platforms like Salesforce Data 360, Snowflake, or Databricks.
You bring deep Salesforce platform expertise: Agentforce, Apex, LWC, Flows, and Salesforce APIs.
You have an entrepreneurial, get-things-done mindset focused on fast, impactful delivery - and the judgment to know when "fast" is the wrong call.
You've mentored technical talent and created reusable assets - frameworks, playbooks, internal tooling.
You communicate clearly and credibly with engineering peers, customer architects, and executive stakeholders.
You actively tinker with the evolving AI/data landscape - piloting new tools, experimenting with new models, and staying genuinely curious about what's coming next.
Ability to travel to customer sites as needed to ensure client success
High level of proficiency in Hebrew and English.


Even Better If...
Salesforce certifications (Administrator, Platform Developer I/II, Agentforce Specialist, System Architect).
Familiarity with DevOps/CI-CD practices, observability tooling, or data governance frameworks.
Experience architecting multi-cloud, multi-system enterprise AI solutions for Global 500 customers.
Track record of influencing enterprise software product roadmaps through field engineering insight.
Open-source contributions, published technical writing, or conference presentations.

Requirements:
Strong builders mindset - balancing deep system thinking with practical, hands-on delivery.
10+ years of full stack system architecture and complex platform engineering experience.
Deep expertise designing distributed, composable, and extensible systems across frontend and backend environments.
Strong hands-on skills with frontend frameworks (e.g., React, Next.js) and backend systems (e.g., Node.js, Python, Go, microservices, event-driven architectures).
Proven experience integrating and operationalizing AI-assisted development tools (e.g., GitHub Copilot, Cursor) into engineering workflows.
Experience building plugin frameworks, extension systems, or developer platforms that emphasize modularity and scalability.
Track record of defining and promoting engineering best practices - especially in the context of AI-driven development.
Demonstrated technical leadership - mentoring engineers, shaping architecture standards, and driving adoption of new paradigms.

Requirements:
Bachelor's degree in Computer Science, AI, Machine Learning, or a related field.
Proven experience in developing machine learning models and employing GenAI.
solutions in a production environment.
5 - 7 years of experience working in Python, R, or a similar language.
Experience with data processing and machine learning frameworks such as TensorFlow, Keras, or PyTorch.
Familiarity with Jira or similar platforms and an understanding of software development and security processes.
Excellent problem-solving skills and the ability to work in a dynamic, fast-paced
environment.

Requirements:
Bachelor's degree in Computer Science, Software Engineering, or a related field.
7-10 years of experience in backend development, with a focus on building scalable and high-performance systems.
Strong proficiency in Python.
Strong experience working with AWS and containerization tools like Docker and Kubernetes.
Expertise in designing and working with relational and NoSQL databases (e.g., PostgreSQL, MongoDB).
Understanding of RESTful API design, microservices architecture, and event-driven systems.
Knowledge of cybersecurity principles and practices, with an emphasis on securing backend systems.
Excellent problem-solving skills and the ability to work in a dynamic, fast-paced environment.
Experience working in a cyber security company is an advantage.