לוח משרות דרושים AI Engineer משרה מלאה

Requirements:
5+ years of experience as a Software Developer
Proficiency in Python and modern software engineering best practices
Experience with Linux, Git, and Docker.
Hands-on experience with cloud platforms (AWS, Azure, GCP) and container orchestration (Kubernetes)
Proficiency with relational and non-relational databases (e.g., PostgreSQL, MongoDB).
Experience with ML frameworks and GenAI (NumPy, Pandas, Scikit-learn, PyTorch, Hugging Face, LangChain, RAG)
Background in cybersecurity - big advantage
BSc in Computer Science or related field - advantage

Requirements:
6+ years of hands-on experience in Windows development, using languages such as C#, Python, Go, Java, or Rust for system-level engineering.
Proven track record of leading development efforts in a fast-paced, results-oriented environment, including responsibility for delivering products to customers (CI/CD pipelines, packaging, and release processes).
Bonus: Background in Windows internals, process injection techniques, or sandboxing technologies.
Strong advantage: Experience in security domains such as behavioral detection, endpoint protection, or anti-tampering.
Genuine curiosity about GenAI, LLM integrations, and modern developer tooling.
A strong sense of ownership and motivation to help define and build a new product line from the ground up.

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:
10+ years in backend, distributed systems, or AI architecture.
Proven leadership in system design, architecture reviews, and technology governance.
Strong background in cloud architecture (AWS preferred) and data pipelines.
Deep understanding of applied AI/ML, model integration, and observability.
Experience in secure design, privacy engineering, or AI risk mitigation.

Requirements:
MSc or Ph.D. in Computer Science, Electrical Engineering, or related field with a focus on AI/Computer Vision/ML.
Strong background, with 2+ years of industry experience in Computer VIsion Deep Learning algorithms.
Experience in Python programming - Must.
Strong analytical and problem-solving skills.
Excellent self-learning abilities.

Requirements:
4+ years of experience in software engineering (Python, Node.js, Go, or similar).
Hands-on experience working with Generative AI tools or agent frameworks.
A bias for action and experimentation - comfortable moving fast from idea to prototype.
Strong collaboration and communication skills across technical and non-technical teams.
Bonus: We are looking for innovators, people with creative minds who like to take their ideas to production
Bonus: Experience in Python is an advantage
Bonus: experience with automation platforms, internal tooling, or integrating AI into developer workflows.

Requirements:
2-4 years of experience as a Business Applications/Web Developer, IT/System Engineer, Automation Engineer, or AI-focused Solution Engineer, or equivalent hands-on project experience.
Practical experience working with LLMs, AI agents, and RAG-based solutions, and connecting them to real-world business workflows.
Strong experience with APIs, webhooks, and system integrations.
Hands-on experience with JavaScript for building and extending applications or integrations (Python is a plus).
Experience working with low-code/no-code automation tools such as Workato, n8n, Make, or similar platforms.
Curiosity and motivation to create AI-driven helpers and automation experiences that streamline how employees work and interact with internal systems.
Strong problem-solving and self-learning abilities, with a hands-on approach to tackling complex challenges and delivering real solutions.
Strong communication skills, with the ability to clearly convey technical ideas and solutions to a wide range of audiences.

Requirements:
2+ years of experience as a Software Architect/ Data Architect
5+ years of experience as a software Developer/ Data Engineer
1+ years of experience as a Solution Architect (preference based on AWS cloud Solutions and services)
Ability to translate business challenges into technical solutions
Excellent customer-facing skills
Hands-on experiences with AWS Data Cloud Services
Experience supporting and working with external customers in a dynamic environment
A team player who can efficiently collaborate with C-Level, developers, and sales teams
Hands-on attitude and experience in system design, POC, and integration using cloud and other web services and APIs
Working experience with DB technologies (SQL, non-SQL), Data analytics, AI, and ML
Deep understanding of ETL, ELT processes
Experience in functional and scripting languages: Python, Scala, etc.
Working experience with AWS's various eco-system and services - additional cloud environments - an advantage
Articulate verbal and written communication
Bachelor's (Master's preferred) degree in Computer Science, Mathematics, Informatics, Information Systems, or another quantitative field
Proven curiosity and ability to quickly self-learn
Fluency in Hebrew and English is essential

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

Requirements:
Bachelors or Masters in a relevant discipline and some research experience.
4+ years of experience in AI engineering or a similar position (this may include backend engineering experience).
Comprehensive knowledge of either deep learning, data science, machine learning, or computer science.
Effectively design software architectures.
Proficiency in Python programming language.
Experience in building E2E AI workflows, including semantic search, paragraph retrievals, keyword extraction, question answering, topic modeling, NER, and summarization.
Ability to write robust and testable code.
Entrepreneurial spirit : we want to hear your ideas, not just to have you implement ours, with the production environment in mind.
Fast learner with outstanding problem-solving skills.
Excellent team player with solid communication skills in verbal and written English.

Requirements:
Bachelor's degree in Engineering, Computer Science, or related technical field
Minimum 4 years of product management experience or technical leadership roles with a proven track record in delivering impactful technical products
Deep technical understanding of how systems interact and how data architectures must evolve in the era of AI
Comprehensive understanding of the complexities of ACL, context, and LLM capabilities
Hands-on practitioner with high curiosity for continuous learning
Daily user of AI tools, from coding assistants to Agentic IDEs with passion for applying this knowledge to integrate AI agents into workflows that solve real friction points
Passionate about building exceptional user experiences with a keen eye for details, UX, and design
Holistic thinking about features, considering legal, security, privacy, and cost implications of deploying AI applications at scale
Exceptional communication skills with the ability to explain complex product decisions rationally and inspire teams
Analytical mindset with experience working with both qualitative and quantitative insights to drive product decisions