לוח משרות דרושים Gen AI Engineer משרה מלאה

Requirements:
Youll do it using: 7+ years of experience in software R&D, including 3+ years in a team leadership role. Strong hands-on experience with Generative AI technologies, including: Working with LLMs, RAG pipelines, prompt engineering, embedding models, MCP (Multi-Context Prompting), and A2A (Agent-to-Agent) communication frameworks. Designing and building AI agents, tool use frameworks, and context orchestration mechanisms. Integrating AI into production systems with performance, cost, and safety considerations. Proven ability to develop using AI, including: Leveraging AI for software development acceleration (AI coding agents). Understanding of prompt chaining, memory management, and agentic decision-making flows. Familiarity with AI development ecosystems (e.g., AWS Bedrock, LangChain, LangGraph, OpenAI APIs, vector DBs, etc.). Experience leading cross-functional engineering teams in a fast-paced, product-centric environment. Deep understanding of cloud-native architectures and services on AWS. Strong knowledge of modern software engineering best practices and agile methodologies. Passion for staying ahead of the curve in AI: curious, experimental, and fast-learning. Excellent communication and leadership skills; you inspire and organize teams effectively.
Advantage: Prior experience in AI/ML infra, MLOps, or agent orchestration. Background in Developer experience (DevEx) or internal platform strategy. Exposure to data engineering, security, or AI ethics considerations in product

Requirements:
As a Red Team Specialist focused on GenAI models, you will play a critical role in safeguarding the security and integrity of commercial cutting-edge AI technologies. Your primary responsibility will be to analyze and TEST commercial GenAI systems. The objective is to identify vulnerabilities, assess risks, and deliver actionable insights that strengthen AI models and guardrails against potential threats. Responsibilities:
Execute sophisticated and comprehensive attacks on generative foundational models and agentic frameworks.
Assess the security posture of AI models and infrastructure, identifying weaknesses and potential threats.
Collaborate with security teams to design and implement effective risk mitigation strategies that enhance model resilience.
Apply innovative testing methodologies to ensure state-of-the-art security practices.
Document all red team activities, findings, and recommendations with precision and clarity. Requirements:
Proven track record in AI vulnerability analysis.
Strong understanding of AI technologies and underlying architectures, especially generative models and frameworks.
At least 5 years of experience in offensive cybersecurity, with a focus on cloud and API security.
Familiarity with agentic frameworks and hands-on experience in agentic development.
Proficiency in Python.
Exceptional analytical, problem-solving, and communication skills.
Ability to thrive in a fast-paced, dynamic environment.
Bachelors or Masters degree in Computer Science, Information Security, or a related field.
Demonstrated experience building production-quality pipelines and automations.
Hands-on experience with Machine Learning development frameworks and environments.
Advanced certifications in offensive cybersecurity (e.g., OSWE, OSCE3, SEC542, SEC522).
Certifications or background in DevOps /ML domains. 

Requirements:
BASIC QUALIFICATIONS
- 7+ years design/implementation/consulting experience of distributed applications.
- 5+ years management of technical, customer facing resources.
- 5+ years of experience with AI/ML or related technology domain.
- 5+ years of hands-on experience with building ML/data pipelines, data engineering, or similar technologies.
- 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience.
PREFERRED QUALIFICATIONS
- History of successful technical consulting and/or architecture engagements with large-scale customers or enterprises.
- Experience migrating or transforming legacy customer solutions to the cloud.
- Familiarity with common enterprise services and working knowledge of software development tools and methodologies
- Strong written and verbal communication skills with a high degree of comfort speaking with executives, IT Management, and developers.
- Experience working within software development or Internet-related industries.
- AWS Solution Architecture certification or relevant cloud expertise.
- Computer Science /relevant degree and/or experience highly desired.

Requirements:
8+ years of experience in data engineering, software engineering, or MLOps, with hands-on leadership in designing modern data platforms and distributed systems.
Proven experience implementing GenAI applications or infrastructure (e.g., building RAG pipelines, vector search, or custom LLM integrations).
Deep understanding of big data technologies (Kafka, Spark, Iceberg, Presto, Airflow) and cloud-native data stacks (e.g., AWS, GCP, or Azure).
Proficiency in Python and experience with GenAI frameworks like LangChain, LlamaIndex, or similar.
Familiarity with modern ML toolchains and model lifecycle management (e.g., MLflow, SageMaker, Vertex AI).
Experience deploying scalable and secure AI solutions with proper attention to privacy, hallucination risk, cost management, and model drift.
Ability to operate in ambiguity, lead complex projects across functions, and translate abstract goals into deliverable solutions.
Excellent communication and collaboration skills, with a passion for pushing boundaries in both data and AI domains..

Requirements:
B.Sc. in Computer Science, Electrical Engineering, or Mathematics
Experience in GenAI tools such as LLM Orchestrations and integration packages, Agents, RAG systems
5+ years expertise with modern backend programming languages such as Python/Java/Scala/Kotlin/Go
Experience writing code in Agile, CI/CD-based production environments
Experience working with Big data technologies such as Kafka/Spark/OpenSearch, Parquet/Avro/Delta Lake/Iceberg
Strong communication and collaboration skills
Data-engineering, architecture, data-science roles or security domain knowledge are an advantage

Requirements:
A bachelor's degree or higher in Computer Science, Data Science, or a related field
Proven experience in developing LLM-based application architectures
Proficiency in ML along with relevant tools, processes, and frameworks, such as TensorFlow, PyTorch, Keras, natural language processing (NLP), and reinforcement learning from human feedback (RLHF)
Proficiency in LLM-related tools, processes, and frameworks, including OpenAI Models and APIs, Hugging Face Transformers, LangChain, vector databases, and prompt management tools like PromptPerfect/PromptBase and Guardrails
Experience with cloud platforms, such as AWS, Google Cloud, or Azure
Proficiency in Python programming
Experience deploying LLM-based applications in a production environment
Excellent problem-solving and analytical skills
Strong communication skills and the ability to collaborate effectively in a team.

Requirements:
3+ years of hands-on experience in software engineering, with at least 12 years working on generative AI projects (LLMs, diffusion models, multimodal models, etc.)

Proven ability to go from idea to productionideally with examples of real-world AI features youve shipped

Fluency in Python, Node.js, or similar languages used in ML and full-stack development

Experience with prompt engineering, fine-tuning, or embedding models using frameworks like LangChain, LlamaIndex, or similar

Familiarity with AWS services and best practices, including Lambda, S3, SageMaker, ECS/EKS, Bedrock etc.

Experience with MLOps and model deployment practices (e.g., containerization, GPU inference, vector databases)

Creativity and initiativeable to pitch and prototype ideas with minimal oversight

Strong communication skills and the ability to explain technical concepts to non-technical stakeholders

Requirements:
3+ years of experience in technology consulting, with at least 2 years focused on Generative AI.
Proven track record in managing client-facing projects, including budgeting, timelines, and stakeholder communication.
Strong understanding of language models (LLMs), tools like OpenAI, Hugging Face, and cloud platforms (AWS, Azure, GCP).
Ability to translate business needs into scalable AI solutions.
Excellent command of English spoken and written.
Leadership experience or mentoring capabilities.

Requirements:
Proven experience with LLMs and GenAI technologies
Hands-on development of RAG-based systems and applications
Strong backend development skills (Python, APIs, microservices)
Experience with cloud platforms: GCP, Azure, AWS
Ability to work independently and collaboratively in dynamic environments
Passion for innovation and solving complex challenges with AI.

Requirements:
4+ years of experience in software development, with at least 2 years in AI/ML-related roles.
Proven hands-on experience with Generative AI frameworks and tools (e.g., OpenAI, Hugging Face, LangChain, LlamaIndex, vector databases).
Strong programming skills in Python (including libraries such as PyTorch, TensorFlow, Transformers).
Experience with cloud platforms (Azure / AWS / GCP) and deploying AI models in production.
Solid understanding of ML lifecycle, MLOps, and data pipelines.
Experience working in or with professional services / consulting firms an advantage.
Excellent communication skills and ability to work with both technical and non-technical stakeholders.
BSc or MSc in Computer Science, Data Science, Engineering, or a related field.
Nice to Have:
Experience with Retrieval-Augmented Generation (RAG), fine-tuning LLMs, or building custom copilots.
Familiarity with enterprise use cases in finance, healthcare, or public sector.
Contributions to open-source AI projects or research publications.

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:
Minimum of 3 years of experience in project or product management, including hands-on experience with AI-related initiatives.
Strong understanding of data architecture, data management, and analytics frameworks.
Proven track record of delivering AI and Generative AI capabilities into productionfrom concept to full implementation.
Ability to communicate complex technical concepts to non-technical stakeholders.
Experience managing complex projects with multiple stakeholders; strong organizational and project management skills.
Strong analytical thinking and critical reasoning skills; ability to derive insights from data and make data-driven decisions.
Excellent verbal and written communication skills; ability to present ideas clearly and persuasively to diverse audiences.
Deep understanding of client needs and a passion for delivering value through innovative solutions.
Ability to thrive in a dynamic, fast-paced environment with multiple priorities and tight deadlines.

Requirements:
Minimum of 5 years of experience as a Back End developer.
Deep knowledge of Generative AI principles, including Large Language Models (LLMs) and RAG techniques and, modern deployment architectures.
Ability to lead team to design services, modules, APIs, and folder structures that enable REST API communication and facilitate a plug-and-play approach for various agent pods (compatible with langgraph, pydanticAI, etc.)
Practical Implementation: Hands-on experience in implementing and integrating new ideas and tools within the GenAI landscape.
Programming and Tools: Proficiency with Python, PySpark, Langchain, LlamaIndex, RAG, ChromaDB, QDrant, Weaviate, Neo4j, Knowledge Graphs, AWS Bedrock, GCP Vertex, Azure OpenAI, Git/GitHub, Docker, SQL, FastAPI, PyTorch/TensorFlow, and Pydantic.
Cloud Platforms: Experience with managed cloud services provided by hyperscalers such as AWS, Azure, or GCP.
Excellent problem-solving and analytical skills. Degree in Computer Science, Artificial Intelligence, Machine Learning or a related field.
Advanced level of English.
Working Israeli permit- a must
B.A/M.Sc. in Data Science, Computer Science, Mathematics, Statistics, etc- an advantage

Requirements:
M.Sc in Computer Science/Electrical Engineering/related field with a focus on AI/NLP/Computer Vision/ML from a well-known university.
Experience managing a team (minimum 3 employees )
Subject matter expertise in NLP research, including in Deep Learning based methods
Experience with Generative AI (mainly LLMs).
Full cycle development: research to production.
Intimate familiarity with a variety of ML disciplines and algorithms
Excellent interpersonal skills.

Requirements:
Degree in Computer Science/Electrical Engineering/related field with a focus on AI/NLP/Computer Vision/ML from a well-known university.
5+ years of industry experience required in NLP and Deep learning algorithms.
Proficiency in Python programming language.
Strong analytical and problem solving skills.
Independence and ownership, ability to come up with innovative solutions and evaluate them quickly.
Preferred Qualifications:
M.Sc or PHD.
Experience with Generative AI (mainly LLMs).
Full cycle development: research to production.