לוח משרות דרושים הייטק AI

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:
Minimum of 3 years of experience in project or product management, including hands-on experience with AI-related initiatives.
Strong understanding of data architecture, data management, and analytics frameworks.
Proven track record of delivering AI and Generative AI capabilities into productionfrom concept to full implementation.
Ability to communicate complex technical concepts to non-technical stakeholders.
Experience managing complex projects with multiple stakeholders; strong organizational and project management skills.
Strong analytical thinking and critical reasoning skills; ability to derive insights from data and make data-driven decisions.
Excellent verbal and written communication skills; ability to present ideas clearly and persuasively to diverse audiences.
Deep understanding of client needs and a passion for delivering value through innovative solutions.
Ability to thrive in a dynamic, fast-paced environment with multiple priorities and tight deadlines.

Requirements:
2+ years of experience as an AI engineer or applied ML engineer working with LLMs (e.g. OpenAI, Claude, Mistral, etc.).
Proven experience with LangChain and/or LangGraph to build real-world AI agents or workflows.
Proficiency in Python/Type script, with hands-on experience in LLM frameworks and orchestration tools.
Experience designing and deploying autonomous agents, memory modules, and tool-using systems.
Familiarity with vector databases (FAISS, Pinecone, Weaviate, etc.) and knowledge retrieval systems.
Solid understanding of NLP workflows, prompt engineering, and tokenization strategies.
Experience with RESTful APIs and backend data integration.
Strong debugging, problem-solving, and architectural design skills.
Experience with Typescript, especially in AI agent or tool integration.
Prior experience deploying AI in production systems.
Familiarity with MLOps and CI/CD pipelines for AI-based applications.
Experience working with cloud platforms (AWS / GCP, or Azure).
MSc in Machine Learning, Computer Science, or a related technical field.

Requirements:
BSc or MSc in Computer Science, Data Science, or related field (research experience is an advantage).
4+ years of experience in AI engineering, backend engineering, or similar.
Strong knowledge in one or more of deep learning, machine learning, NLP, or computer vision.
Proven experience building end-to-end AI workflows (e.g., semantic search, summarization, NER, question answering).
Proficiency in Python and software architecture design.
Ability to write clean, testable, production-grade code.
Strong problem-solving skills and ability to learn quickly.
Excellent communication skills in English, both verbal and written.

Requirements:
5+ years of hands-on software engineering ( Python ecosystem a must).
* Solid understanding of AI/ML concepts and practical experience with ML libraries (PyTorch, Hugging Face, Scikit-learn). 2+ years experience building MLOps pipelines ( data collection, training, deployment).
* Familiarity with Databricks (advantage).
* Experience with AWS (S3, EC2, SageMaker/Bedrock, Lambda).
* Hands-on work with databases: SQL, NoSQL, and vector stores.
* Knowledge of CI/CD practices and DevOps tools (Docker, Jenkins, GitHub Actions, Artifactory) advantage.
*  UI prototyping experience (Streamlit, Gradio, HTML /JS/CSS) advantage.
* Familiarity with agentic AI frameworks (LangChain, PydanticAI, Google AI SDK) advantage.
Why Join Us? Help us bridge research and engineering to build next-generation AI-powered solutions that accelerate investigations and deliver meaningful impact worldwide. You will work with top AI, data and Engineering talents, cutting-edge technologies, and a dynamic, collaborative team.

Requirements:
3+ years of experience as a Product Designer in a high-tech or startup environment
A strong portfolio with at least 5 product design examples including AI-powered features or systems you helped design
Daily hands-on use of AI tools in your workflow from ideation to content generation, wireframing, UI design, and user testing
Proven experience designing GenAI features such as chat interfaces, AI copilots, smart content flows, personalization systems, or prompt-based tools
High proficiency in Figma, with bonus points for developing custom plugins, using APIs, or building internal tools to optimize design processes
Comfortable with generative and visual AI tools like Midjourney, Runway, Framer AI, Galileo, or similar
Strong UX and systems thinking, with the ability to turn technical complexity into clear, empowering experiences
Passion for exploring new tools and a builder mindset youre curious, fast, and always pushing boundaries
CV and portfolio required. Bonus points if you share AI-generated or AI-assisted artifacts youve created tools, concepts, or workflows.

Requirements:
Bachelors degree in Computer Science or a related technical field, or equivalent experience.
4+ years of experience in product management, with a proven track record in SaaS or AI-driven products.
1+ years of hands-on experience building agents based on large language models (LLMs).
Deep knowledge of AI agent frameworks, including but not limited to vibe coding, prompt engineering, and multi-step agent workflows.
Experience with no-code/low-code integration platforms is a plus.
Strong product management skillsdefining product vision, setting strategy, prioritizing features, and driving cross-functional alignment using tools like Jira.
Demonstrated ability to create enablement content, deliver training, and lead product demos for technical solutions.
Excellent interpersonal and communication skills; adept at collaborating with engineers, product managers, sales engineers, and customers.
Passion for innovation, curiosity about emerging AI trends (accessibility is a plus), and a data-driven approach to experimentation.

Requirements:
Masters/Ph.D. in Computer Science, Electrical Engineering, Machine Learning, information systems engineering, or related field.
5+ years of hands-on experience with developing & maintaining production class Machine Learning projects aimed towards solving business problems.
High proficiency in Python
Hands-on proficiency with modern generative AI models, prompt engineering, multi-agents, and RAG architectures. Also, a solid understanding of transformers, optimized fine-tuning techniques, and evaluation methodologies of LLMs while using relevant frameworks (Hugging Face, LangChain, LlamaIndex, etc)
Familiarity with embedding models and vector databases - advantage
Experience in data exploration and visualization.

Requirements:
Requirements:
3+ years of experience in applying AI to practical and comprehensive technology solutions.
Strong understanding of Generative AI principles, including Large Language Models (LLMs), RAG techniques, Fine-tuning, inference, and more a big advantage.
Proficiency in Python and experience with Gen AI, Gen-related Python libraries and modules.
Experience contributing to the architecture and design (architecture, design patterns, reliability, and scale) of new and current systems.
Excellent problem-solving and analytical skills.
Expertise with vector databases (e.g., OpenSearch, Pinecone) for data storage and retrieval an advantage.
Excellent interpersonal skills, team player with strong communication skills.
Academic degree in Computer Science or equivalent.

Certifications:
AWS Machine Learning Specialty (Strongly Preferred).
AWS Solutions Architect - Associate (Strongly Preferred).
AWS Solutions Architect - Professional (Preferred).

Requirements:
Proven software development experience, with hands-on familiarity with modern IDEs, developer tools, and workflows.
Deep interest in AI and its applications in software engineering including copilots, AI-assisted programming, and code generation.
Demonstrated ability to take initiative, experiment, and lead change across teams.
Strong communication and collaboration skills comfortable influencing engineers and managers alike.
Ability to think strategically and translate AI potential into practical engineering wins.
Experience in R&D organizations or platform/DevEx roles advantage.
Prior experience with AI tooling, prompt engineering, or LLM-based integrations advantage.

Requirements:
At least 3 years of experience as an AI Architect/Principal Engineer.
At least 2 years of experience with building ML or LLM-based applications in production.
At least 5 years of Python or equivalent programming experience.
Bachelors or a master's degree in computer science, data science, or equivalent field.
Knowledge in MLOps - bonus.
Team player with a positive and fun attitude.
Strong interpersonal, leadership, and communication skills.
Capacity to work in a fast-changing environment.
Experience designing, building, and operating large systems with scalability, availability, testing, and performance requirements.

Requirements:
Bachelors or Masters in Computer Science, Engineering, or related field.
7+ years of experience in software architecture, with 3+ years in AI/ML systems.
Deep understanding of generative AI models, and deployment strategies.
Familiarity with model monitoring, drift detection, and responsible AI practices.
Experience architecting cloud-based AI solutions (AWS, Azure, GCP).
Strong knowledge of data engineering, distributed systems, and API design.
Excellent communication and documentation skills.
Advanced level of English.
Working Israeli permit- a must.
Preferred Qualifications:
Experience with multi-modal generative models (text, image, audio).
Prior experience in regulated industries (finance, healthcare, etc.).

Requirements:
Education: Bachelors or Masters degree in Computer Science, or a related field.
Experience: 2 years of proven experience in AI/ML and software development.
Skills:
Proficiency in Python programming.
Experience with AI projects based on Large Language Models (LLMs).
Familiarity with basic principles of large language models, including prompt engineering and APIs such as OpenAI.
Knowledge of RAG architecture.
Experience with AWS and GPU computing.
Advantageous Skills:
Hands-on experience with RAG-based projects.
Experience with vision language models.
Hands-on experience with classification, detection, and segmentation models.
Familiarity with vision model development, including data augmentation, transformations, and handling imbalanced data.
Experience with the vision model training process.
C++ programming
Strong analytical and problem-solving skills.
Ability to work independently and as part of a team.
Excellent communication skills.
Ability to stay current with emerging AI technologies and methodologies.

Requirements:
Drive technical excellence through your profound knowledge of python across diverse projects.
Implement systems with frontend and AI backend, including RAG systems
Harness your CUDA expertise to maximize the performance and efficiency of our computing platforms.
Oversee projects from ideation to completion, ensuring quality, timeliness, and budget adherence.
Mentor team members and foster a growth-oriented learning environment.
Apply your critical and creative problem-solving skills to troubleshoot and resolve intricate technical issues.
Working with Artificial Intelligence algorithms using Neural Networks
Requirements:
8+ years of hands-on experience in python or c++ showcasing a deep understanding of the languages, its intricacies, and best practices.
Bachelors or Masters degree in Computer Science,
Experience as a Team Leader/ Technical Leader - must
Proven experience in leading and managing complex technical projects, demonstrating strong project management skills.
Exceptional problem-solving skills with a proven ability to troubleshoot complex issues, showcasing strong analytical and critical thinking abilities.
Outstanding communication skills, with the ability to explain complex concepts in a clear and concise manner to both technical and non-technical stakeholders.
Excellent leadership capabilities, with a track record of mentoring and guiding team members to foster professional growth and development.
Experience working with AI, GenAI
Experience with GPU, CUDA - optional

Requirements:
Minimum of 5 years of experience as a Back End developer.
Deep knowledge of Generative AI principles, including Large Language Models (LLMs) and RAG techniques and, modern deployment architectures.
Ability to lead team to design services, modules, APIs, and folder structures that enable REST API communication and facilitate a plug-and-play approach for various agent pods (compatible with langgraph, pydanticAI, etc.)
Practical Implementation: Hands-on experience in implementing and integrating new ideas and tools within the GenAI landscape.
Programming and Tools: Proficiency with Python, PySpark, Langchain, LlamaIndex, RAG, ChromaDB, QDrant, Weaviate, Neo4j, Knowledge Graphs, AWS Bedrock, GCP Vertex, Azure OpenAI, Git/GitHub, Docker, SQL, FastAPI, PyTorch/TensorFlow, and Pydantic.
Cloud Platforms: Experience with managed cloud services provided by hyperscalers such as AWS, Azure, or GCP.
Excellent problem-solving and analytical skills. Degree in Computer Science, Artificial Intelligence, Machine Learning or a related field.
Advanced level of English.
Working Israeli permit- a must
B.A/M.Sc. in Data Science, Computer Science, Mathematics, Statistics, etc- an advantage