דרושים » AI » Senior AI Engineer

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:
4+ years of product management experience , ideally with a focus on AI/ML, NLP, or infrastructure/platform products.
* Strong technical background in ML infrastructure, data systems, or engineering;
* Experience building or scaling systems based on large language models or unstructured data processing.
* Strong understanding of the AI/LLM ecosystem - including model deployment, evaluation, prompt orchestration, and data pipelines.
* Proven track record of leading cross-functional teams to deliver technically complex products with measurable impact.
* Excellent communication and collaboration skills, especially in technical environments.
* Ability to operate in ambiguity.
* Ability to drive clarity through structured thinking and sharp execution.
* Background in ML infrastructure, AI products, or applied research is a plus.

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:
At least 4-5 years of experience in building production grade backend software systems
Understanding of microservice design and architecture
Strong experience in designing, building and maintaining scalable infrastructures including deployment, DBs, communication
Strong proficiency in Python
Understanding of Machine Learning lifecycle and best practices for AI
Excellent problem-solving abilities, coupled with a creative and strategic mindset
Proven ability to work effectively in a team setting

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:
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:
At least 4-5 years of experience in building ML/AI solutions, specifically in production environment
Strong experience in building and maintaining scalable machine learning infrastructures
Strong proficiency in Python
Solid understanding of Data Science and Machine Learning lifecycle and best practices for model deployment and serving
Excellent problem-solving abilities, coupled with a creative and strategic mindset
Extensive experience with ML frameworks
Understanding of microservice design and architecture
Proven ability to work effectively in a team setting

Requirements:
3+ years of experience in MLOps, ML infrastructure, or AI platform engineering.
2+ years of hands-on experience in ML pipeline automation, large-scale model deployment, and infrastructure scaling.
Expertise in deep learning frameworks (like PyTorch, TensorFlow, JAX) and MLOps platforms (like Kubeflow, MLflow, TFX).
Proven track record of building production-grade ML systems that scale to billions of predictions daily.
Deep knowledge of Kubernetes, cloud-native architectures (AWS/GCP), and infrastructure as code (Terraform, Helm, ArgoCD).
Strong software engineering skills in Python, Bash, and Go, with a focus on writing clean, maintainable, and scalable code.
Experience with observability & monitoring stacks (Prometheus, Grafana, Datadog, OpenTelemetry).
Strong background in security, compliance, and model governance for AI/ML systems.
Leadership & Execution:
Proven ability to lead high-impact engineering teams in a fast-paced AI environment.
Ability to drive technical strategy while remaining hands-on in critical areas.
Strong cross-functional collaboration skills, working closely with research and engineering teams.
Passion for automation, efficiency, and designing scalable self-service MLOps solutions.
Experience in mentoring and coaching engineers, fostering a culture of innovation and continuous learning.
It Would Be Great If You Have:
Experience working with LLMs and large-scale generative AI models in production.
Expertise in optimizing model inference latency and cost at scale.
Contributions to open-source MLOps tools or AI infrastructure projects.

Requirements:
B.Sc. in Computer Science or a related field.
5+ years of experience in backend software development, including system design and architecture.
Proficiency in at least one backend programming language (We write in Go).
Strong understanding of microservices architecture, RESTful APIs, and relational databases.
Deep familiarity with Kubernetes and the cloud-native ecosystem.
Demonstrated ability to tackle complex technical challenges and deliver high-quality solutions.
Ways to stand out from the crowd:
Expertise in Kubernetes internals and advanced cloud-native technologies.
Hands-on experience with HPC or AI/ML platforms.
Familiarity with AI inference workloads and performance optimization.
Proficiency in Linux, with knowledge in networking, security, storage, and virtualization.

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.