לוח משרות דרושים Gen AI Engineer משרה מלאה, לחיפוש זה נמצאו 28 משרות

Requirements:
Hands-on experience generating high-end visual assets, with expertise in building complex workflows across different models within wivi and Midjourney (ComfyUI expertise is a major plus)
Strong background in 3D design, VFX, professional photography, or cinematography with a deep understanding of light and physics in the real world
Intuition for what looks "expensive" and professional. You can spot a bad AI artifact from a mile away and know how to fix it
Proficiency in post-production tools like After Effects, Premiere Pro, or DaVinci Resolve for compositing and finishing
High agency and independence, with the ability to own projects from start to finish and identify the best tools and techniques for the job
Ability to adapt quickly in a fast-moving environment with ever-changing technology, and a passion for learning on the fly.

Requirements:
5+ years of experience as a Research Scientist or Algorithm Developer within world-class AI labs or high-growth GenAI startups
Ph.D. or Masters degree with honors in computer science, data science, statistics, or a highly quantitative field from a top-tier institution
Expert-level proficiency in PyTorch and deep learning training/inference optimization
Hands-on experience training, fine-tuning, or optimizing large-scale LLMs in research or production environments
Advanced programming skills in Python and/or C/C++ with experience in production-grade code and big data infrastructure
A portfolio of peer-reviewed publications in top-tier AI/ML venues or granted patents in advanced machine learning systems.

Requirements:
Required Skills 3+ years of hands-on software development experience, preferably in Python/backend or integration-focused roles, including practical experience with GenAI technologies such as LLMs, RAG, AI agents, and automation workflows. Proven ability to independently design, build, and deploy end-to-end production-grade solutions within complex enterprise environments.
* Strong programming skills (Python preferred)
* Hands-on experience with LLMs, prompt design, and RAG solutions
* Experience integrating AI systems with enterprise data, APIs, and services (e.g., MCP or similar)
* Experience building AI agents and automation workflows
* Proven ability to build and deliver production-grade systems end-to-end
* Understanding of system design, deployment, and production environments
* Experience validating and evaluating AI system outputs for quality and reliability
* Basic project management capabilities to coordinate tasks, timelines, and cross-functional collaboration Preferred Qualifications
* Experience with enterprise platforms (e.g., ERP, CRM, M365)
* Documentation skills for technical solutions, workflows, and integration processes
* Exposure to cloud environments and AI/LLM orchestration frameworks
* Understanding of secure development practices and AI governance considerations Success Criteria
* Delivery of production-ready AI solutions
* Measurable impact on business processes and efficiency
* Adoption and effective use of AI across teams
* Reliability and stability of deployed AI systems in production

Requirements:
M.Sc. or Ph.D. in Computer Science, Electrical Engineering, or a related field.
3+ years of industry experience in Deep Learning and Computer Vision.
Excellent proficiency in Python and PyTorch.
Strong problem-solving, research, and analytical thinking skills.
Experience with Generative AI methods (Diffusion Models, GANs, etc.).
Experience with Vision-Language Models (VLMs) and Multi-modal learning.
Publications in top-tier conferences (CVPR, NeurIPS, ECCV, etc.).
Experience with Linux, AWS, Docker, and virtual environments.
Knowledge of classic computer vision.

Requirements:
Proficiency in SQL and Python, with an eye for efficient and reusable code.
1 year of experience working with cloud data warehouses (e.g., ClickHouse, Snowflake, Redshift, BigQuery, Synapse, Databricks).
Hands-on experience with BI tools such as Tableau, Power BI, Looker, Sigma, ThoughtSpot, or Qlik.
Experience working with both structured and semi-structured data, including NoSQL databases such as MongoDB.
Deep understanding of data modeling, semantic layers, knowledge graphs, and how to design scalable analytical systems.
Excellent communication skills - you know how to simplify complex concepts for business stakeholders and work across functions with ease.
B.Sc. in Industrial Engineering and Management, Information Systems, or a related field
Bonus: Experience working directly with enterprise clients or in a presales / post-sales technical capacity.

Requirements:
What We're Looking For
Must Have:
Strong Python expertise (5+ years) with experience in async programming and FastAPI
Frontend experience (4+ years) with React/TypeScript
3+ years of experience designing, deploying, and operating language model-based solutions in production.
Hands-on experience with AI/LLM integrations (OpenAI, Anthropic, or similar)
Experience building or working with AI agents, agentic workflows, or AI-assisted development tools (e.g., Cursor, GitHub Copilot, Claude Code, similar agent frameworks)
Experience with MCP (Model Context Protocol) or A2A protocols
Solid understanding of API design, authentication patterns, and multi-tenant architectures
Track record of leading technical initiatives and mentoring engineers
Strong testing discipline (unit, integration, E2E)
Great communication skills, both written and verbally.

Requirements:
BSc in Computer Science from a leading Israeli or international university
Outstanding academic record - Deans List, Cum Laude, Magna Cum Laude, or equivalent honors (GPA 92+)
Genuine passion for software engineering and GenAI - you code because you love it, not just because its on the syllabus
Willingness to work fully on-site in our Jerusalem (Talpiyot) office or TLV office
No prior industry experience required - we care about your potential, curiosity, and work ethic. Student role experience is a plus.
The personal competencies you need to have:
Excellent communication skills and the ability to work as a team
Ability to see the big picture, break down a project into milestones and prioritize tasks.
Strong sense of ownership, urgency, and drive
Ability to take the initiative, come up with ideas and solutions and run it with a "getting things done" attitude.
Ability to work with tight deadlines
Ability to work independently.

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:
A proactive builder's mindset: a desire to automate workflows, take end-to-end ownership, and drive continuous improvement
Bachelor's degree or higher in Computer Science, Data Science, Software Engineering, or similar
4+ years of relevant hands-on experience in developing and scaling production-grade GenAI architectures using modern LLM stacks
Proficiency with relevant tools, processes, and frameworks, such as: LangChain, CrewAI, OpenClaw, PyTorch, Keras, NLP, Vector databases, RAG, building MCPs and Skills
Coding fluency in Python and at least one other language (TypeScript/JavaScript, Go or Rust)
Deep understanding of cloud and cloud-native principles, including hands-on experience with major Cloud environments (AWS, GCP, Azure) and containers/Kubernetes
Proven ability to conduct deep technical investigations - analyze complex systems, cloud environments, source code, and documentation, and synthesize the collected data into clear insights
Passion and curiosity to stay current of industry trends and technological advancements
Great communication skills and proven ability to serve as a liaison, coordinating and driving action across diverse org-groups (IS, IT, data science) to ensure effective enterprise-wide systems integration
Excellent English communication (written and verbal)
Comfortable in a dynamic, fast-paced company
Significant Advantages:
Full-stack web development experience
3+ years of relevant hands-on experience in setting up, configuring, and using a broad range of industry DevSecOps technologies (ex. Kubernetes, JFrog Artifactory, GitLab, SonarQube, coding agents, security vulnerability scanners, GitHub Actions).

Requirements:
Backend Specialist with a Passion for AI/GenAI, strong systems skills, and eagerness to grow in AI.
5+ years in Python /Java/Scala/C#/ Go
Familiarity with LLM frameworks (LangChain, LangGraph, Haystack, etc.) or willingness to learn.
Basic understanding of prompt engineering, vector databases, and retrieval-augmented generation (RAG).
Solid knowledge of cloud infrastructure (AWS, GCP, Azure) and containerization (Docker, Kubernetes).
Proven track record in building scalable, distributed systems.
Strong problem-solving, ownership, and collaboration skills.
Nice-to-Have Skills:
Exposure to reinforcement learning, multi-agent systems, or autonomous planning.
Interest in ML Ops, AI model deployment, and scaling AI workloads.
Experience with data engineering for AI (ETL pipelines, feature stores, embeddings).
Any experience building AI-powered platforms or agent-based systems.

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:
Must Have
1+ years of software development experience
Strong proficiency in Python for backend development
Experience building backend systems (APIs, databases, or services)
Solid understanding of data science fundamentals statistics, ML concepts, and working with data pipelines
Familiarity with at least one major cloud platform (GCP, Azure, or AWS)
Understanding of software engineering principles and architecture basics
Familiarity with GenAI / LLM concepts
Bachelor's degree in Computer Science, Data Science, or related field or equivalent practical experience
Advantages
Experience with LLM provider APIs (OpenAI, Anthropic, Google)
Exposure to multi-agent systems or LLM-based workflows
Hands-on experience with ML frameworks (e.g., scikit-learn, PyTorch, TensorFlow)
Academic research or projects in AI, NLP, or data science
Personal or university projects involving multi-agent systems or ML model development
Docker and Kubernetes experience
Experience working on production systems in a client-facing environment.

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:
What Were Looking For
3+ years of experience in software, ML, or data-related roles
Hands-on experience building and shipping GenAI / LLM systems in production
Strong Python skills
Experience with RAG, agents, fine-tuning, or similar implementations
Experience with LLM providers (OpenAI, Anthropic, Cohere, or open-source)
Experience working in cloud environments (AWS / GCP / Azure), with familiarity in MLOps
Experience leading technical decisions, owning systems, or mentoring engineers
Important Note
Were looking for engineers who have built GenAI systems that went live. Experience limited to research, academic work, or POCs is less relevant. No formal Tech Lead title is required - what matters is what youve actually built, shipped, and owned.