דרושים » הנדסה » AI Frontend Infrastructure

Requirements:
8+ years of fullstack development experience with strong skills in TypeScript/JavaScript, React, and Python (or Node/Go for backend).
Solid understanding of LLM APIs, agent frameworks (e.g., LangChain, AutoGPT, CrewAI), or custom AI pipelines.
Experience with modern cloud infrastructure (e.g., AWS, GCP, Docker, CI/CD).
Familiarity with vector databases (e.g., Pinecone, Weaviate, FAISS) and retrieval-augmented generation (RAG).
Product-oriented mindset: you care deeply about building things that work well for users.
Bonus: experience with observability, feedback loops for AI agents, or embedded AI evaluation techniques.

Requirements:
Technical Expertise: At least 6+ years of hands-on experience in frontend development. Strong knowledge of JavaScript/TypeScript and React framework, along with state management solutions (Redux, MobX, etc.).
Leadership & Team Management: Minimum 3+ years of experience leading a development team of 4+ engineers, including hiring, mentoring, and guiding technical decisions.
Framework Proficiency: Strong expertise in React.
Microfrontend Architecture: Proven experience in Microfrontend concepts and their implementation.
Performance DOM Optimization & UI Performance:
Expertise in frontend performance tuning, lazy loading, tree shaking, and bundle size optimization.
Expertise in optimizing DOM rendering, minimizing reflows and repaints, and improving UI responsiveness
Testing: Experience with unit, UI component, and end-to-end testing using frameworks like Jest, React Testing Library, or Playwright. Proficiency in setting up automated visual regression testing, component-level testing, and continuous testing workflows in CI/CD pipelines.
Component-Driven Development: Hands-on experience with Storybook or other UI component documentation tools.
Security: Strong understanding of frontend security best practices (XSS prevention, CORS handling, OAuth, JWT) and secure UI component development.
Project Delivery: Proven ability to lead projects to production, prioritize tasks effectively, and deliver high-quality results within set timelines.
Adaptability & Resilience: Ability and willingness to work in a fast-paced, dynamic, and evolving environment, handling multiple priorities and challenges effectively.

Requirements:
Experience: 8+ years in frontend development, with at least 3+ years in a leadership role (managing teams of 4+ engineers). Proven track record leading design system or large-scale frontend platform initiatives.
Technical Expertise: Deep knowledge of JavaScript/TypeScript and React, including state management solutions (Redux, MobX, etc.). Expertise in design system principles (atomic design, tokens, theming, accessibility).
Architecture & Performance: Skilled in optimizing frontend performance (lazy loading, tree shaking, bundle optimization). Strong understanding of DOM performance, minimizing reflows/repaints, and ensuring responsive UIs.
Testing & Quality: Proficient in testing frameworks (Jest, React Testing Library, Cypress, Playwright). Experience integrating automated testing into CI/CD pipelines.
Collaboration & Communication: Excellent stakeholder management skills; able to work effectively with designers, engineers, and product teams. Ability to articulate technical concepts to both technical and non-technical audiences.

Requirements:
MSc with 2+ years or BSc with 4+ years of experience in AI/ML engineering, applied data science, or related fields
Production-grade Python skills and advanced SQL capabilities
Proven experience designing, training, and deploying ML models.
Including tasks such as: Summarization, Semantic Search, Classification, Personalization, Chat agents, etc.
Strong knowledge of ML and GenAI frameworks such as:
PyTorch, HuggingFace Transformers, Langchain, Vector Databases (e.g. FAISS, Pinecone)
Familiarity with LLMOps tooling:
AWS Bedrock, OpenAI APIs, Langfuse, LangSmith, MLFlow, Feature Stores
Exposure to Big Data & Streaming:
Spark, Kafka (Flink is a plus)
Comfort with MLOps and cloud infrastructure:
AWS/GCP, Docker, Kubernetes, CI/CD, monitoring, observability
Understanding of architectural patterns for large-scale software systems, including modularity, fault-tolerance, scalability, and data flow across distributed environments
Excellent communication skills, both technical and non-technical, with a strong ability to explain complex topics clearly
Self-starter with a researcher mindset and a passion for exploring emerging technologies
Technical Skills:
AI Model Design & Evaluation: Experience training models using real-world data, choosing appropriate architectures, and defining metrics for evaluation.
LLM-Oriented Applications: Hands-on experience with prompt engineering, retrieval-augmented generation (RAG), embeddings, and fine-tuning LLMs.
System Design for AI: Understanding of scalable AI architecture patterns, monitoring, and lifecycle management in production environments.
MLOps & DevX: Build systems that are reproducible, observable, testable, and easy to evolve including CI/CD, model versioning, and rollback strategies.

Requirements:
* 7+ years building production web applications, including 3+ years in an architect/tech-lead role.
* You have led at least one end-to-end web product from design to launch and growth, covering frontend, backend, Storage, CI/CD, security, and monitoring.
* Strong coding skills in TypeScript and Node.js, plus modern SPA frameworks (preferably Angular).
* Deep knowledge of cloud-native architecture on GCP or similar
* Proven experience with high-scale data systems: document DBs, hot paths vs. cold paths, indexing, and cost/perf trade-offs.
* Solid grasp of reliability practices: tracing, metrics, structured logging, SLOs, error budgets.
* Security first mindset: authN/authZ, least privilege, data protection, multi-tenant design, auditability.
* Clear written and verbal communication with distributed and non-native English-speaking teams.
Bonus if you have:
* Firebase/Firestore at scale, Cloud Functions, Pub/Sub, Redis.
* NX monorepo workflows, trunk-based development, feature flags.
* Image-heavy or Real-Time systems, computer-vision pipelines, or human-in-the-loop tools.
* Experience integrating external AI/ML services via well-designed boundaries.

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:
4+ years of experience as a TypeScript or Frontend Engineer
Strong understanding of type systems, generics, interfaces, and the benefits of type safety in large-scale applications
Familiarity with modular architecture, bundlers (like Webpack or Rollup), and performance monitoring tools
A team player who can collaborate across domains, with engineers, analysts, product managers, and designers
Comfortable diving into large, complex codebases, and identifying areas for improvement or optimization
Proficient in: async programming, the Event Loop, debugging best practices, Chrome DevTools, and frontend performance tuning
Good understanding of: Git workflows, SQL basics, and frontend design patterns
Bonus points if you have:
Experience with modern testing frameworks such as Playwright, Jest, or Mocha
Familiarity with Agile, SCRUM, or Lean Startup methodologies
Exposure to ReactJS, AMP, Lighthouse, or CI/CD pipelines
Understanding of backend-related tools or languages (e.g., Java, Go, Docker, BigQuery, Kusto)
BSc in Computer Science or equivalent.

Requirements:
5+ years of professional experience in frontend development with JavaScript/TypeScript.
Strong fundamentals in UI architecture, component design, and state management.
Proven experience in building data-heavy, interactive interfaces with focus on performance and scalability.
Strong understanding of canvas rendering, GPU acceleration, and rendering pipelines.
Solid knowledge of 2D visualization concepts, and how to translate data into interactive experiences.
Deep understanding of browser performance optimization and memory management.
Ability to work cross-functionally with designers, data engineers, and product managers.

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:
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.