לוח משרות דרושים AI Engineer

Requirements:
4+ years experience as a software engineer (or equivalent)
expert-level proficiency in Python
Proven experience building and deploying scalable applications
Hands-on experience with AI systems and agentic AI workflows
practical experience with modern MLOps/DevOps tools and practices
An innovator's mindset: You thrive on solving ambiguous, open-ended problems and are driven to build novel solutions where no playbook exists.
Cybersecurity experience - Big Advantage
Experience with XDR/SIEM/EDR/NDR product - Advantage.

Requirements:
* BSc in Computer Science, Engineering, or related field.
* 5+ years of software engineering experience, preferably in research, algorithms, or incubation team.
* Proven production experience deploying and maintaining software systems at scale.
* Hands-on experience with Generative AI frameworks and LLMs, building end-to-end AI solutions.
* Strong grasp of data science project lifecycle and MLOps, including deployment, monitoring, and pipeline orchestration.
* Strong experience with SQL and NoSQL databases, data modeling, and efficient data handling for AI/ML applications.
* Excellent communication skills and ability to collaborate across cross-functional teams. It's an advantage if you have:
* MSc/PhD in Computer Science, Engineering, or related field.
* Research experience in Machine Learning and algorithm development.
* Experience with distributed systems, cloud platforms (Kubernetes, Docker, AWS/GCP/Azure), and hybrid/on-premises architectures.
* Enjoy owning the problems end-to-end and willing to pick up whatever knowledge you're missing to get the job done. 

Requirements:
* Bachelor's degree in Computer Science, Software Engineering or Industrial Engineering with a specialization in Information Systems.
* At least 2-4 years of experience in software development or engineering (e.g. Python, JAVA, Node.jsgreenTxtBg!).
* Interest and proven experience in the fields of AI and ML.
* Familiarity with Large Language Models (LLMs) such as GPT-4.
* Hands-on experience with cloud platforms (AWS, GCP, Azure) and deploying AI services.
* Solid understanding of UX / UI principles for AI-driven products.
* Strong problem-solving and debugging skills with the ability to communicate effectively with technical and non-technical stakeholders.
* Excellent communication and leadership skills, with a proactive and collaborative mindset.
* High proficiency in English
* Familiarity with BI models

Requirements:
What we need to see:

B.Sc. or M.Sc. in Computer Science, Electrical/Computer Engineering, Data Science or related field (or equivalent practical experience).

2+ years of industry experience in machine learning or data engineering.

Strong programming skills in Python (pandas, NumPy, PyTorch or TensorFlow).

Proficiency with SQL and modern data pipeline tools.

Understanding of deep learning fundamentals and strong interest in LLMs/NLP.

Hands-on experience with Linux environments, version control (Git), and container tools (e.g., Docker).

Strong analytical and problem-solving skills

Eagerness to learn complex hardware/software systems.

Ways to stand out from the crowd:

Internship or project experience with LLM fine-tuning, prompt engineering, or retrieval-augmented generation.

Exposure to hardware debugging, observability/logging systems, or chip/system reliability analysis.

Experience with vector databases (FAISS, Pinecone, Milvus) or MLOps tools (MLflow, Kubeflow).

Masters degree in a related field (e.g., Computer Science, Electrical Engineering, Data Science), showing advanced theoretical foundation and research exposure.

Requirements:
Significant real-world experience (at least 5 years) of developing software for production backend systems (Go, Python, Typescript, Node etc).
Proficiency in LLM application concepts and techniques such as Agentic Memory, Retrieval-Augmented Generation (RAG), embeddings, Multiagent systems, and more.
Hands-on experience with measuring AI systems - developing datasets, evaluation benchmarks, and performance monitoring systems for LLM applications.
A solid understanding of state-of-the-art advancements in the field of Large Language Models .
Ability to take initiative, scope work iteratively, and make meaningful design decisions to drive projects to completion.
Preferred Qualifications
A strong focus on data and data quality, with the ability to optimize data flows for developing cutting-edge LLM-based applications.
Familiarity with Langchain, LangGraph or other LLM-based frameworks
The ideal candidate possesses a data science mindset combined with an engineer's agility and focus on swiftly bringing solutions into production.

Requirements:
Deep understanding of AI technologies, including large language models
Expertise in prompt engineering and AI-powered automation
Proficiency with AI tools such as ChatGPT, Claude, Midjourney, and Copilot
Knowledge of AI ethics and regulatory considerations
Strong problem-solving and analytical skills
Proficiency with Python or TypeScript for building AI workflows and data pipelines
Excellent communication and leadership abilities
Ability to translate complex AI concepts for non-technical audiences
Experience in project management and cross-functional collaboration
You might also have
Advanced degree in Computer Science, AI, or related field
Previous experience in AI implementation within an organizational setting
Certifications in relevant AI technologies or platforms
Familiarity with no-code AI application development
Bachelor's degree in Computer Science, AI, or related field.

Requirements:
At least 5 years in managerial (group manager or above) roles preferably with experience in NLP / Generative AI / LLMs / Agents
Hands-on experience with AWS or other cloud platforms 
Strong analytical skills with a focus on quantifiable model evaluation and continuous improvement 
Excellent communication and leadership skills, with the ability to drive a data-driven and innovative culture and collaborate with multiple R&D teams  
A proactive, problem-solving mindset with the ability to execute in a fast-paced and a dynamic environment 
Additional Information
How you will stand out from the crowd: 
Experience in cybersecurity and AI-driven security solutions 
Strong understanding of NLP, LLM and their fine-tuning, and AI model optimization techniques, Agentic architectures and frameworks, MCP. 
Familiarity with AWS services (SageMaker, Bedrock, Lambda, etc.) 
Experience in Agile methodologies and CI/CD pipelines for AI development 
A track record of publications or contributions to the AI research community .

Requirements:
5+ years of experience in backend systems engineering
Relevant educational background in Computer Science, Software Engineering, or a related field
High Proficiency in the Python programming language
Extensive experience with Docker, microservices architecture, and Kubernetes (or other process-mesh)
Experience with cloud-based development
Proficiency in working with various databases, e.g., MongoDB and Cassandra
Strong knowledge of NoSQL databases
Experience with data management, processing, and analytics
Expertise in implementing and managing monitoring solutions
Familiarity with Web UI development (advantage).

Requirements:
● Proven experience driving Copilot/AI dev-tool adoption in engineering orgs (designing rollouts, measuring impact, changing habits)- Must.
● Trainer who has built and delivered technical workshops; confident on stage and in live demos- Must.
● Opinionated practitioner who can compare GH Copilot vs. other tools and explain trade-offs clearly.
● Ability to write and speak fluently in English.
● Entrepreneurial mindset: you can build a practice, create content, and help generate demand.
● Solid coding background (doesnt need to be senior-level), enough to craft examples, review code, and guide teams.
Advantage:
Experience with SDLC optimization and productivity metrics.
Track record of building developer communities or internal champion programs.

Requirements:
Required Qualifications:

Demonstrated working experience in AI cybersecurity engineering
5+ years of progressive experience in information security
Working experience with AI security programs within enterprise environments
Strong technical proficiency in security assessments and secure design principles
Comprehensive knowledge of AI models (LLM) and Agents (MCP/A2A)
Expert-level experience with threat modeling methodologies (STRIDE or equivalent)
Bachelor's degree in Computer Science or related field, or equivalent professional experience
Preferred Qualifications:

Experienced in cloud technologies, including SaaS architecture, microservices, and container orchestration
Demonstrated commitment to continuous professional development
Experienced (3+ years) in penetration testing of cloud-native and web applications
Master's degree in Computer Science, Information Security, or related field
Contributions to the security community through research, publications, or speaking engagements
Experienced with modern software development practices, cloud technologies, and CI/CD pipeline security

Requirements:
5+ years of Product Management experience.
Genuine passion for AI, Cybersecurity and the space where they intersect a must
Bachelors degree in Computer Science, Engineering, or relevant technical experience.
Proven success launching LLM-powered cybersecurity products.
Strong understanding of LLM use cases and technologies (e.g., AI agents and frameworks, copilots, MCP, A2A).
Experience in cybersecurity domains (e.g., threat detection, DLP, identity, or cloud security) strongly preferred.
Familiarity with AI security risks (e.g., prompt injection, jailbreaking, data leakage, model abuse, sensitive data governance).
Ability to engage with technical concepts (APIs, data pipelines, LLM architectures, security controls) and translate them into customer value.
High proficiency in English (spoken and written).
Exceptional communication and collaboration skills to work with both technical and business teams.
Customer-focused mindset with a drive to deliver impactful solutions.
Comfortable operating in a rapidly evolving market with shifting technologies and threats.

Requirements:
Proven experience (5+ years) as a frontend engineer, with at least 2 years in a senior or lead capacity.
Strong expertise in modern frontend technologies: React.Angular (or similar), TypeScript/JavaScript, state management libraries, and build tools (Webpack, Vite, Nx, etc.).
Deep understanding of frontend architecture and performance optimization, including rendering pipelines, caching, and clientserver interactions.
Experience building component libraries, design systems, or frontend infrastructure used by multiple product teams.
Familiarity with AI/ML-driven interfaces (LLM-powered UIs, chat interfaces, real-time streaming, data-heavy dashboards, or similar).
Strong collaboration and communication skills with cross-functional teams.
Passion for developer experience, clean abstractions, and scalable design.
Nice to Have:
Experience with AI/ML frontend integrations (e.g., working with OpenAI, Anthropic, Hugging Face APIs).
Knowledge of observability and monitoring tools for frontend systems (e.g., Datadog, Sentry).
Contributions to open-source frontend infrastructure projects.
Experience with monorepos and multi-package setups (Nx, Lerna, Turborepo).

Requirements:
Requirements are often considered a measure of how equipped you are to do the job, but sometimes they arent the only factor.
If you dont have every skill listed here but believe youd be a great fit, wed still love to hear from you!
6+ years of experience as a software engineer with a strong emphasis on backend development.
Excellent knowledge of software design, clean architecture, and scalable distributed systems.
Proven experience in leading end-to-end feature development from design through implementation, testing, and deployment.
Solid experience with testing methodologies (unit testing, TDD, mocking, etc.).
Proficiency with relational databases (PostgreSQL, MySQL, etc.).
Strong programming skills in Python are a must.
Experience with LLMs in production is a strong advantage.
Experience with cloud platforms (AWS or equivalent) is a plus.
Independent, fast learner, and passionate about exploring new technologies.
Proactive team player with a desire to impact our team, our product, and our customers.

Requirements:
What Experience Will Drive to Success
* Bachelors degree in data Science, Computer Science, Computer Engineering, or related field.
* 3+ years of hands-on software development experience.
* 1+ years of experience in AI engineering, with a proven track record of building and deploying AI systems.
* Strong proficiency in Python.
* Experience with AI frameworks and protocols such as LangChain, LangGraph, OpenAI, MCP, A2A, etc..
*  Solid understanding of LLM integration and prompt engineering for complex reasoning.
* Experience with Git and Jenkins.
* Strong problem-solving skills, a passion for innovation, and a self-driven mindset.
* Excellent communication and collaboration skills.
*  Hands-on experience with Big Data processing frameworks (Advantage).
*  data science experience or familiarity with applied Machine Learning (Advantage). What We Are Looking For Independent and Self-Driven: Were building an AI Department from the ground up, so we need someone proactive, takes ownership, and thrives in a startup-like environment. Passion for Innovation: Whether its building scalable data infrastructure or creating advanced AI models, we are looking for someone passionate about solving complex challenges and delivering innovative solutions. Collaboration Skills: we are all about teamwork. You will collaborate with engineers, data scientists, and product teams to build impactful solutions. Strong communication and interpersonal skills are key. Adaptability and Problem-Solving: Things move quickly at our company. You should be able to adapt to changing requirements and quickly solve problems in a fast-paced, dynamic environment. Can-Do Attitude: Were seeking motivated individuals who take the initiative, face challenges head-on, and can work independently while contributing to the team's success. About the Company: our mission is to protect every mobile app worldwide and its users. We provide mobile brands with the only patented, centralized, data -driven Mobile Cyber Defense Automation platform. Our platform delivers rapid no-code, no-SDK mobile app security, anti-fraud, anti-malware, anti-cheat, anti-bot implementations, configuration as code ease, Threat-Events threat-aware UI / UX control, ThreatScope Mobile XDR, and Certified Secure DevSecOps Certification in one integrated system. With us, mobile Developers, cyber and fraud teams can accelerate delivery, guarantee compliance, and leverage automation to build, TEST, release, and monitor the full range of cyber, anti-fraud, and other defenses needed in mobile apps from within mobile DevOps and CI/CD pipelines. Leading financial, healthcare, m-commerce, consumer, and B2B brands use our company to upgrade mobile DevSecOps and protect Android & IOS apps, mobile customers, and businesses globally. Today, our customers use our platform to secure over 50,000+ mobile apps, with protection for over 1 billion mobile end users projected.

Requirements:
4+ years of professional software development experience, with proficiency in languages such as Python/C#/Java.

Experience in the end-to-end ML lifecycle, including model training, deployment, inferencing, and addressing the challenges of scaling AI products.

Proficiency in safe AI/ML rollout methodologies, including canarying and A/B testing.

Proven ability to design and architect complex, high-performance systems that support AI workloads.

Demonstrated experience with cloud services (e.g., AWS, GCP, Azure).

Hands-on experience with common ML frameworks like PyTorch or TensorFlow, as well as libraries like scikit-learn and time-series models (e.g., Prophet, ARIMA, LSTM).

Strong problem-solving skills and the ability to write and optimize high-performance code.

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.).