לוח משרות דרושים Gen AI Engineer בתל אביב יפו

Requirements:
6+ years building production-grade backend or ML systems that real users depend on
Tangible experience with LLMs prompting, fine-tuning, or deploying them behind an API (show us what you've shipped)
Fluency in at least one backend language (TypeScript, Python) and familiarity with cloud-native infra (Docker, K8s, AWS)
Strong grounding in algorithms, data structures, and probability CS, EE, Math, or equivalent real-world chops
Demonstrated skill in building resilient, high-traffic, "can't-go-down" services (finance, gaming, ad-tech, etc.)
Passion for agentic coding: chaining tools, orchestrating workflows, letting the machine do the grunt work
Curiosity, pragmatism, and the ability to learn crazy-fast (zero bureaucracy, maximum building)
Hands-on with vector databases (Pinecone, Weaviate, PGVector) or semantic search systems - an advantage
Experience implementing policy, safety, or red-teaming frameworks around GenAI - an advantage
Open-source contributions or published research in NLP / generative modeling - an advantage
Prior work with voice bots, multimodal models, or real-time streaming architectures - an advantage
Ability to work in an office environment a minimum of 3 days a week.

Requirements:
3-4 years in Data Science, ML, or AI research.
Hands-on experience with LLMs, content engineering, and GenAI applications.
Demonstrated success operating AI/ML systems in production, including monitoring, logging, and continuous improvement.
RAG expertise (retrieval-augmented generation) for AI enhancement.
Experience architecting and orchestrating agent-based LLM workflows (e.g., LangGraph) to automate multi-step tasks.
Familiarity with the Model Context Protocol (MCP) for standardized context and tool integration between GenAI models and external services.

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:
Bachelors degree (B.Sc) in Computer Science, Engineering, Information Systems, Data Science, or a related field.
3+ years of experience in project or product management, with hands-on involvement in data, AI, or technology-driven initiatives.
Strong understanding of data architectures, data pipelines, analytics frameworks, and AI-driven systems.
Proven experience delivering AI or Generative AI solutions into production environments.
Ability to translate complex technical concepts into clear, structured communication for non-technical stakeholders.
Experience managing complex, multi-stakeholder projects with strong organizational and execution skills.
Analytical mindset with the ability to make data-driven decisions and assess trade-offs.
Excellent verbal and written communication skills in English.
High level of ownership, independence, and ability to perform in dynamic, fast-paced environments.
Nice to Have
Background in AI, machine learning, or advanced analytics projects.
Experience working in consulting or client-facing delivery roles.
Familiarity with cloud platforms and modern AI tooling.

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:
Deep learning expertise with a track record of non‑trivial research (industry or academia) in LLMs or other domains (e.g., CV, speech). We care that youve changed models or methods in meaningful ways (architecture/training/eval), not just used them.
Strong experimental design and scientific writing; comfort pre‑registering hypotheses, testing causal claims, proposing novel directions in a fast-changing field.
PhD or equivalent research experience in the industry (5+ years in a leading research team). Publication record or a portfolio of high‑impact open artifacts will make you stand out from the crowd.
Familiarity with AI frameworks (e.g., HuggingFace Transformers, LangChain, scikit-learn, PyTorch); Experience with a production grade codebase with several contributors is a bonus.
Experience in data analysis: visualization, exploration, cleanup.
Knowledge in GenAI tools such as LLM Orchestrations and integration packages, Agents, RAG systems - a bonus.

Requirements:
Portfolio showcasing your experience, personal taste and Ai capabilities.
35 years in Creative/Design roles with a technology backbone, including 12 years hands‑on with Generative AI.
Demonstrated mastery of Midjourney and Weavy, with shipped examples of complex, reusable flows and brand‑consistent outcomes.
Proven ability to build automations/agents using n8n/Zapier and third‑party APIs; working knowledge of JavaScript or Python.
Advanced prompting for brand consistency (stylization, multi‑prompt/weighting, reference handling).
Excellent communication and enablement skills: clear documentation, live coaching, and process design for a large creative org.
Practical understanding of IP/licensing, ToS, and privacy; experience collaborating with Legal/IT.

Requirements:
Proficient in Python - at least 5 years of production-grade code development-
strong familiarity with LLM tooling frameworks (LangChain, LlamaIndex, Haystack, etc)
Is involved in AI communities and surveys the landscape for new AI tools, technologies, papers, and projects
Familiar with state-of-the-art RAG technologies
Has a deep understanding of the state-of-the-art AI pipelines and technologies
Has built and deployed AI-driven pipelines or applications into production - Must
Understand modular pipelines and CI/CD integrations.

Requirements:
To thrive in this role, youll need:
3+ years of hands-on ERP experience with deep platform knowledge.
Strong understanding of systems architecture, integrations, and APIs (REST/SOAP).
GenAI enthusiast with experience in LLMs, prompt engineering, and MCPs.
Excellent problem-solving, analytical, and communication skills; able to work in global teams.
B.Sc in Computer Science, Engineering, Information Systems, or a related field.
Itll be great if you also have:
Development experience and SQL knowledge.
Familiarity with new-gen technologies and platforms.

Requirements:
5+ years of experience with modern web-scale languages/frameworks with a focus on Python and Node.js (TypeScript). Additional languages/frameworks, e.g. JVM-based GoLang, are nice to have.
Proven experience in hands-on design and work on complex SaaS systems
Proficiency with at least one primary cloud provider (GCP, AWS, Azure), including serverless and Kubernetes-based deployments
Experience in managing and maintaining production systems

Requirements:
3+ years of experience as a Product Designer in a high-tech or startup environment
A strong portfolio with at least 5 product design examples including AI-powered features or systems you helped design
Daily hands-on use of AI tools in your workflow from ideation to content generation, wireframing, UI design, and user testing
Proven experience designing GenAI features such as chat interfaces, AI copilots, smart content flows, personalization systems, or prompt-based tools
High proficiency in Figma, with bonus points for developing custom plugins, using APIs, or building internal tools to optimize design processes
Comfortable with generative and visual AI tools like Midjourney, Runway, Framer AI, Galileo, or similar
Strong UX and systems thinking, with the ability to turn technical complexity into clear, empowering experiences
Passion for exploring new tools and a builder mindset youre curious, fast, and always pushing boundaries
CV and portfolio required. Bonus points if you share AI-generated or AI-assisted artifacts youve created tools, concepts, or workflows.