דרושים » AI » Senior Systems Engineer, Artificial Intelligence Operations

Requirements:
Minimum qualifications:
Bachelor's degree or equivalent practical experience.
6 years of experience with cloud native architecture in a customer-facing or support role.
Experience with Machine Learning model development and deployment.
Experience with frameworks for deep learning (e.g., PyTorch, Tensorflow, Jax, Ray, etc.) and using machine learning APIs.
Experience engaging with, and presenting to, technical stakeholders and executive leaders.
Ability to communicate in Hebrew fluently as this is a customer-facing role that requires interactions with local stakeholders.
Preferred qualifications:
Master's degree in Computer Science, Engineering, Mathematics, a technical field, or equivalent practical experience.
Experience in building machine learning solutions and leveraging specific machine learning architectures (e.g., deep learning, LSTM, convolutional networks).
Experience in architecting and developing software or infrastructure for scalable, distributed systems.
Experience in data and information management as it relates to big data trends and issues within businesses.
Ability to learn quickly, understand, and work with new emerging technologies, methodologies, and solutions in the cloud/IT technology space.

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.).

Requirements:
* 5+ years of experience as a backend Engineer or similar role, specifically building and operating production-grade, scaled APIs and microservices.
* Experience with Generative AI concepts and Large Language Models (LLMs).
* Proven self-learner with the ability to quickly grasp new technologies and complex domains.
* Hands-on experience with Kubernetes (K8s) and cloud platforms (AWS, GCP).
* Experience with CI/CD pipelines and integrating automated tests
* Proven ability to solve complex technical problems and make data -driven decisions.
* Excellent communication and collaboration skills, with a track record of working effectively in a team-oriented environment.
* Hands-on experience with observability tools such as Prometheus, OpenTelemetry etc. Bonus Points:
* Familiarity with Go programming language.
* Experience working within an Infrastructure or Core Engineering team.
* Experience with LLM orchestration frameworks like LangChain.
* Familiarity with prompt engineering, prompt optimization techniques, and managing system prompts.

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:
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:
5+ years of experience in AI/ML engineering, with deep expertise in production AI systems.
Strong proficiency in modern Python and AI/ML frameworks (PyTorch, TensorFlow, Transformers).
Hands-on experience with agentic AI frameworks (LangChain, CrewAI, AutoGen, or similar).
Solid understanding of LLM integration and prompt engineering for complex reasoning.
Knowledge of software architecture analysis and automated code generation.
Excellent communication skills, able to collaborate with both technical teams and stakeholders.
Nice to Have

Experience with game engines and development workflows.
Familiarity with cloud AI platforms (AWS Bedrock, Azure AI, or similar).
Background in autonomous systems and multi-step AI workflows.

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:
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:
Mandatory Skills:
5+ years of experience in software engineering, with strong proficiency in Python.
Experience with LangGraph, LangChain, or similar frameworks for building AI agents.
Strong understanding of LLMs, prompt engineering, and AI agent architectures.
Familiarity with REST APIs and integrating external data sources.
Preferred Skills:
Familiarity with the AI Agents ecosystem, including different LLM providers, vector store solutions, MCPs, and more.
Experience with evaluating LLM performance and quality.
Familiarity with cloud environments, especially AWS.

Requirements:
Mandatory Skills:
5+ years of experience in software engineering, with strong proficiency in Python.
Experience with LangGraph, LangChain, or similar frameworks for building AI agents.
Strong understanding of LLMs, prompt engineering, and AI agent architectures.
Familiarity with REST APIs and integrating external data sources.
Preferred Skills:
Familiarity with the AI Agents ecosystem, including different LLM providers, vector store solutions, MCPs, and more.
Experience with evaluating LLM performance and quality.
Familiarity with cloud environments, especially AWS.