דרושים » AI » AI Project Team Leader, Customer Support

Requirements:
Strong prompt engineering skills.
Experience with no-code/low-code integration platforms is a plus.
Background in IT.
Proven track record of creating enablement content, delivering training, or leading product demos for technical SaaS solutions.
Excellent project-management skillsplanning, prioritizing, and executing cross-functional work using tools like Asana or Jira.
Exceptional interpersonal and communication abilities; capable of effectively collaborating with engineers, PMs, sales engineers, and customers.
Passion for innovation, curiosity about emerging AI trends, and a willingness to drive change through data-driven experimentation.
Nice to Have

1+ years hands-on experience building agents based on LLMs.
Ability to design multi-step agent workflows and evaluation strategies.
Comfortable reading and modifying code; proficient with REST APIs, Postman, GitHub, and basic JavaScript and SQL.
Background in Customer support, or enterprise SaaS.
Experience running internal programs.

Requirements:
Deep understanding of AI technologies, including large language models
Expertise in prompt engineering and AI-powered automation
Proficiency with AI tools such as ChatGPT, Claude, Midjourney, and Copilot
Knowledge of AI ethics and regulatory considerations
Strong problem-solving and analytical skills
Proficiency with Python or TypeScript for building AI workflows and data pipelines
Excellent communication and leadership abilities
Ability to translate complex AI concepts for non-technical audiences
Experience in project management and cross-functional collaboration
You might also have
Advanced degree in Computer Science, AI, or related field
Previous experience in AI implementation within an organizational setting
Certifications in relevant AI technologies or platforms
Familiarity with no-code AI application development
Bachelor's degree in Computer Science, AI, or related field.

Requirements:
Proven software development experience, with hands-on familiarity with modern IDEs, developer tools, and workflows.
Deep interest in AI and its applications in software engineering including copilots, AI-assisted programming, and code generation.
Demonstrated ability to take initiative, experiment, and lead change across teams.
Strong communication and collaboration skills comfortable influencing engineers and managers alike.
Ability to think strategically and translate AI potential into practical engineering wins.
Experience in R&D organizations or platform/DevEx roles advantage.
Prior experience with AI tooling, prompt engineering, or LLM-based integrations advantage.

Requirements:
Must:
BSc in Computer Science or related degree, or equivalent practical experience.
4+ years of hands-on experience as a software Engineer
Strong proficiency in Python and experience with AI/ML libraries (e.g., PyTorch, TensorFlow, Hugging Face).
Experience with AI APIs (OpenAI, Anthropic, Google AI, Microsoft AI) and integrating them into engineering workflows
Hands-on experience with developer productivity tools, AI-enhanced automation, and knowledge management systems
Strong problem-solving skills and ability to build AI-powered solutions that engineers love to use.
Nice to Have:
Deep understanding of LLMs, RAG (Retrieval-Augmented Generation), fine-tuning, and prompt engineering.
Experience with data pipelines, embeddings, and vector databases for AI-powered search and automation.
Experience working with cloud-based AI platforms and scalable AI architectures
Knowledge of containerization (Docker, Kubernetes) and CI/CD pipelines for deploying AI applications.
Experience with AI Ops, observability tools, and monitoring AI applications in production.
Familiarity with LangChain, AutoML, MLOps frameworks, and workflow automation tools.
A background in software engineering, DevOps, or developer tooling.
Strong entrepreneurial mindset, able to identify opportunities, move fast, and drive AI adoption in a high-impact environment.
Published research, open-source contributions, or side projects demonstrating innovative AI applications.
Why Join Us?
This role is for builders, problem-solvers, and AI enthusiasts who want to push the boundaries of engineering productivity with AI. Youll be at the forefront of AI-powered platform engineering, shaping how our company leverages AI to supercharge innovation, efficiency, and automation.
If youre looking to build game-changing AI platforms, experiment with cutting-edge tech, and make a real impactjoin us!

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:
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:
MSc in Computer Science, Engineering, or a related field
Focus on AI, ML, or DS.
5+ years of experience in DS roles, with a strong emphasis on building and deploying machine learning models in production environments.
Expertise in Python and SQL.
Experience with machine learning frameworks such as TensorFlow or PyTorch.
Familiarity with cloud platforms (e.g., AWS, GCP) and containerization tools (e.g., Docker, Kubernetes).
Proven experience in developing, fine-tuning, and deploying ML models, particularly in NLP.
Ability to translate complex business problems into data-driven solutions.
Excellent verbal and written communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.

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
Advantages:
Familiarity with distributed ML tools
Experience with real-time machine learning model deployment.
Familiarity with cybersecurity applications of machine learning
Advanced skills in performance optimization for high throughput systems
Tech Stack:
AWS (SageMaker, Lambda), PyTorch, vLLM, Ray, Hugging Face, Docker, Kubernetes, FastAPI, Flask.

Requirements:
35 years of experience in automation, ops engineering, internal tooling, or technical enablement roles
Strong Python and SQL skills
Proficiency with no-code/low-code tools (e.g., Zapier, Make, Airtable)
Experience working with LLMs and frameworks such as OpenAI, Claude, LangChain, or similar
Ability to work cross-functionally and translate business needs into practical technical solutions.
Bonus if you have:
Experience with REST APIs, webhooks, and system integrations
Familiarity with internal tooling needs of engineering and product teams (e.g., Jira workflows, GitHub automations)
Understanding of AI governance, data privacy, and fallback/responsibility frameworks
Strong written and verbal communication skills with both technical and non-technical stakeholders
Experience developing internal documentation and onboarding materials