לוח משרות דרושים AI Engineer

Requirements:
PhD or equivalent experience in the field of generative AI
Track record of coming up with new ideas or improving upon existing ideas in generative AI, demonstrated by accomplishments such as first author publications or projects.
Excellence in engineering as well as research with strong programming skills in Python, and deep familiarity with machine learning frameworks.
Experience in training large diffusion transformer models from scratch.
Proven track record of handling large-scale datasets to train neural networks effectively.

Requirements:
4+ years of experience as a Node.js (TypeScript) backend developer.
1+ years as an AI Engineer
Experience integrating LLM pipelines and external APIs.
Strong understanding of system design, performance tuning, and reliability engineering.
Strong expertise in distributed systems, microservices, event-driven architectures, and scalable APIs.
Experience deploying and monitoring systems in production environments.
Experience with using LangGraph / LangChain or similar frameworks.
Python and MongoDB are an advantage.

Requirements:
Bachelor's or Master's degree in Computer Science or a related field, or equivalent practical experience.
10+ years of experience in software engineering.
Proven success in tech-leading software teams and guiding efforts through the entire development lifecycle, from research and concept to design and implementation.
Demonstrated managerial experience, including mentoring, coaching, and performance management of engineering teams.
Exceptional skills in software architecture design and C/C++ programming.
Experience with contributing to and delivering large codebase projects to production.
Deep foundational knowledge of operating systems, including memory management, device handling, Inter-Process Communication (IPC), and runtime environments.
Hands-on experience with embedded development and OS internals.
A strong commitment to developing high-quality software.

Requirements:
5+ years of experience in AI/ML engineering, performance optimization, or ML systems.
Deep understanding of LLM architectures, training & inference mechanics, and modern ML frameworks.
Strong proficiency in PyTorch ecosystem, with a specific focus on performance tuning via Triton, Cuda or MLIR-based compiler frameworks.
Hands-on expertise profiling and optimizing kernels (GEMM, attention, softmax, token pipelines).
Demonstrated experience running or tuning MLPerf or similar large-scale benchmarks.
Strong Python and C++ development skills.
Proven leadership experience: mentoring, guiding, or managing engineers.

Requirements:
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.

Requirements:
A PhD in computer science or related fields OR Masters with 2 years of related industry experience OR Bachelors with 4 years of related industry experience.
Strong programming skills in generic programming languages such as Python or Golang.

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.
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.
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.

Requirements:
Youll do It using:

Currently pursuing a masters degree in computer science, Data Science, or equivalent, with at least 2 semesters left to graduation.

Pursuing thesis in AI \ GenAI fields.

Accomplished relevant courses such as NLP, Machine Learning, Deep Learning, and Information Retrieval, with GPA of 90 and above.

Familiarity with RAG pipelines, embedding models, vector databases, and retrieval optimization.

Proficiency in Python or an equivalent.

Familiarity with AI tools, frameworks, and ML concepts.


Advantages:

Completed courses in Prompt Engineering / LLMs.

Hands-on experience in AI through internships, projects, or research.

Familiar with GenAI Agents.

Experience with cloud platforms (AWS, Google Cloud, Azure).


You'll excel by:

Strong communication and collaboration skills.

Having a commitment to thinking like an owner and taking initiative.

Being a motivated self-learner and driving innovation and excellence in your work.

Being creative and adaptable in your problem-solving skills.

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.