לוח משרות דרושים AI Engineer

we are in search of a top-tier ai agents solution architect to work closely with hardware architects, Verification engineers, gpu performance experts, and software developers to develop end-to-end agent flows that drive significant enhancements in simulation analysis, Kernel optimization, and Developer efficiency.
what you'll be doing:
develop innovative ai flows to improve hardware and software through collaboration with various engineering roles.
facilitate co-creation workshops to transform sme rules of thumb into specific assignments, resources, cues, and guidelines. define success measures, evaluation data, and feedback loops for agents to make a measurable difference in nvidia's hw simulation analysis and gpu- Kernel optimization workflows.
rapidly prototype and thoughtfully productize; integrate with internal services, utilize gpu capabilities, remove bottlenecks, and deliver fitting solutions.
set up evaluation backbone using offline golden sets and online telemetry for confident iterations, cost control, and safe improvements.
mentor and improve teams through insights in agent orchestration, prompting, rag, observability, crafting documentation and playbooks for teams.

you will work at the intersection of Machine Learning and software engineering - selecting the right models, feedback strategies, and evaluation frameworks to make ai-generated code reliable, high-quality, and trustworthy.
what you'll be doing:
design and build ai-powered development pipelines - from code generation and automated review to feedback loops and evaluation systems.
evaluate and select ml approaches for specific problems: when to use llm prompting vs. fine-tuning (qlora), classical ml (random forest, linear regression) vs. reinforcement learning, rag vs. structured extraction.
architect feedback and evaluation systems that measure and improve ai output quality over time.
review and refine ai solution architectures - evaluate design decisions, identify weaknesses, propose alternatives with reasoning.
lead proof-of-concept development to validate new ai/ml approaches for development tooling.
collaborate with the core team to define risk-based development levels and calibrate ai review depth per level.

our company has been transforming computer graphics, pc gaming, and accelerated computing for more than 25 years. its a unique legacy of innovation thats fueled by great technology-and amazing people.
today, were tapping into the unlimited potential of ai to define the next era of computing. an era in which our gpu acts as the brains of computers, robots, and self-driving cars that can understand the world. doing whats never been done before takes vision, innovation, and the worlds best talent. as an our employee, youll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. come join the team that is building ai platform for operating ai factories to make a lasting impact on resilient operations of ai clusters.
what will you be doing:
you will bring together and understand internal and external customer requirements to improve ai cluster resiliency and design aiops-based solutions that address these needs.
develop automated workflows for issue detection and root cause analysis and closely collaborate with operators to debug sophisticated, Full-Stack ai cluster problems. we will bring to bear the findings for product improvements!
deliver compelling technical presentations and lead hands-on demos or training. you'll also handle evaluation deployments (poc/pov) and ensure smooth, reliable installations by staying engaged and encouraging throughout the customer journey.

were currently seeking a senior Developer technology engineer, artificial intelligence. would you enjoy researching parallel algorithms to accelerate ai workloads on advanced computer architectures? do you find it rewarding to identify and eliminate system bottlenecks to achieve the best possible performance on pioneering computer hardware? could you be thrilled about an opportunity to partner with the Developer community, working at the forefront of technology breakthroughs that contribute to the success of an industry leader like nvidia? if so, the Developer technology team invites you to consider this role. 
what you will be doing:
in this position, you will research and develop techniques to gpu accelerate workloads in deep learning, Machine Learning or other ai domains.
work directly with other technical experts in their fields (industry and academia) to perform in-depth analysis and optimization of complex ai and hpc algorithms to ensure optimal ai solutions on modern cpu and gpu architectures.
publish and/or present discovered optimization techniques in Developer blogs or relevant conferences to engage and educate the Developer community.
influence the design of next-generation hardware architectures, software, and programming models in collaboration with research, hardware, system software, libraries, and tools teams at nvidia.

we're building the financial infrastructure that powers global innovation. With our cutting-edge suite of Embedded payments, cards, and lending solutions, we enable millions of businesses and consumers to transact seamlessly and securely. With 900+ employees worldwide and an R&D center of over 160 employees in Jerusalem - were reshaping how financial technology is developed and delivered..
The Role:
As AI capabilities accelerate across the bank, we need an engineer to design and enforce safe AI usage-protecting customer data, preserving model integrity, and meeting our regulatory obligations. You'll be the architect of guardrails, tooling, and policies that make AI both secure and useful for product and internal teams. This isn't about slowing things down; it's about building the trust layer that lets innovation move fast without breaking things.
Who You Are:
You're a security engineer who's excited about the AI wave-someone who sees GenAI and LLMs as fascinating puzzles to secure, not just threats to mitigate. You've spent 5+ years in Security Engineering, AppSec, or Cloud Security, and at least 1-2 of those years have been spent getting your hands dirty with AI/ML or data -intensive systems. You're equally comfortable dissecting a prompt injection attack as you are writing a Terraform module or shipping a Python library. You know your way around AWS and/or Azure, modern app stacks ( Python /TypeScript, REST/gRPC, containers/Kubernetes), and can translate security requirements into Developer -friendly tooling-not just PDF policies that gather dust. You communicate clearly in English and Hebrew, thrive in regulated environments, and understand that security in financial services means mapping controls to frameworks like FFIEC, SOC 2, and PCI DSS-and actually having the evidence to prove it.
What Youll Actually Be Doing:

* Design enterprise AI guardrails across Azure and AWS (e.g., Azure AI Studio/Azure OpenAI, Amazon Bedrock/SageMaker): content filtering, PII redaction, prompt/response validation, and policy enforcement services.
* Implement data minimization controls for GenAI/RAG workloads: context filtering, leastprivileged retrieval, document-level ACL enforcement, vector store hardening, and secure token/secret handling.
* Threat model AI systems (apps, agents, RAG, fine-tuning pipelines) using frameworks like STRIDE and the OWASP Top 10 for LLM Apps; define misuse scenarios (prompt injection/jailbreaks/ data exfiltration) and build mitigations.
* Build monitoring and telemetry: privacy-preserving prompt/response logging, sensitive- data detection, safety/eval dashboards, drift/abuse signals, and incident hooks into our SIEM.
* Integrate AI security into the SDLC: reusable libraries, pre-commit checks, CI/CD gates, policy-as-code, and secure-by-default reference architectures for product teams.
* Evaluate thirdparty AI vendors and internal apps: security reviews, data residency and retention requirements, SSO/SCIM integrations, DPA/TPRM inputs, and continuous control testing.
* Partner across Security, data, Privacy, and Engineering to map AI controls to FFIEC, SOC 2, and PCI DSS; document control evidence for audits.
* Lead/participate in AI redteaming: automated jailbreak/promptinjection tests, safety benchmarks, purpleteam exercises, and response playbooks for AI incidents.
* Enable the org with concise guidelines, examples, and training on safe AI development and usage.

Why Youll Love Working Here:

* Flexible hybrid work model: three days a week at our Jerusalem office
* Monthly wellness reimbursement - from therapy to gel manicure, it's up to you
* Full Keren Hishtalmut, private health and dental insurance
* Volunteer days, donation matching, Yoga and Pilates
* A supportive, collaborative culture that puts our people first
Next Step:
Hit Apply!

Were looking for a Creative AI Solutions Specialist to join our AI Lab - a cross-functional group driving innovation, experimentation, and advanced AI capabilities across .

This role sits at the intersection of creative technology, product, and applied AI. Youll work on cutting-edge LTX-2 workflows, prototype new capabilities, help bring AI solutions to market, and act as a domain expert supporting teams across the company - from Product and Design to Sales and Business Development.

Success in this role requires strong ownership, curiosity, technical depth, and a passion for pushing creative AI forward.

What you will be doing
Build AI-driven creative workflows, PoCs, and production-ready pipelines (with a strong focus on LTX-2)
Experiment with generative AI to unlock new creative capabilities and solve high-end production challenges
Create workflows and custom LoRAs to showcase capabilities to clients and design partners
Partner with Business Development and major studios, providing technical demos and pipeline integration guidance
Act as a trusted technical advisor for clients and internal teams
Collaborate with Product, Research, Design, and Creative teams to turn innovation into impactful features
Own the ideation and exploration of new creative and AI-driven capabilities, driving initiatives from concept and research to tangible prototypes and production impact

The team focuses on art direction, prompt architecture, and technical experimentation, bridging the gap between creative design and AI tool development inside LTX Studio platform.

Its responsibilities include feature development, testing generative models, building LLM-driven systems for visual generation, and defining visual presets, using the team creative background to bring out-of-the-box thinking and artistic perspective to technical features and innovation.

What you will be doing
Own visual quality and creative evaluation across image or video domains within LTX Studio
Lead AI Evaluation & AI Creation efforts - testing new generative models, benchmarking outputs, identifying strengths and limitations
Build POCs using AI coding tools and vibe coding methodologies
Translate innovation ideas into demos, workflows, and product features (0→1 ownership)
Develop and refine prompt engineering systems, including prompt enhancement logic and structured generation rules
Improve and iterate on existing product features related to visual generation
Collaborate closely with PMs, developers, researchers, and cross-functional teams
Participate in feature ideation and bring creative-first thinking into technical product discussions
Help define visual presets, output standards, and quality benchmarks
Continuously explore emerging tools, models, and techniques in the AI creator ecosystem

We are seeking a researcher to join the LTX Model Applications team, focusing on advancing and extending the capabilities of our LTX-Video models. You will design and explore new use cases, train novel ways to control the generation process, and push the boundaries of generative video technology. Your work will directly influence millions of users through our apps and contribute to the broader research and open-source communities, shaping the next generation of creative tools.

What you will be doing
Advance and extend the capabilities of our LTX-Video models through new controls, features, and use cases.
Design and implement machine learning models for video, image, and audio generation, as well as multimodal applications.
Conduct experiments, prototype concepts, and validate ideas to expand generative video technology.
Collaborate with engineers, designers, and product managers to translate research into impactful product features.
Regularly open-source code, models, and research insights, contributing to the academic and open-source communities.
Stay at the forefront of generative AI research in video, image, and audio, and bring relevant advances into our products.
Write high-quality, efficient code and maintain best practices in research workflows.
Mentor other researchers and lead collaborative projects.

This role is designed for individuals who are not only technically proficient but also deeply passionate about pushing the boundaries of AI and machine learning through innovative engineering and collaborative research.

Key Responsibilities
Profile and optimize the training process to ensure efficiency and effectiveness, including optimizing multimodal data pipelines and data storage methods.
Develop high-performance TPU/GPU/CPU kernels and integrate advanced techniques into our training framework to maximize hardware efficiency.
Utilize knowledge of hardware features to make aggressive optimizations and advise on hardware/software co-designs.
Collaboratively develop model architectures with researchers that facilitate efficient training and inference.
Design, maintain, and evolve a high-quality, shared codebase that emphasizes correctness, readability, extensibility, testing, and long-term maintainability, while balancing performance requirements.

This role focuses on pioneering model architecture and pre-training algorithms, shaping the next generation of our foundational generative AI models.

What you will be doing
Pre-train and fine-tune video, audio, and image generative models to pursue state-of-the-art results.
Publish papers and open source models to benefit the research community and advance the field.
Design and implement machine learning models for text-to-audio and text-to-video generation.
Collaborate with data engineers to curate and preprocess text and video data.
Optimize models for high performance, ensuring efficient training and inference.
Build new controls and capabilities into generative text-to-audio and text-to-video models.
Stay updated with the latest developments in Generative AI, particularly in the fields of image, video, and audio.
Work closely with product teams to integrate AI models into applications and services.
Conduct experiments and prototype new concepts to advance the capabilities of our AI tools.

We are looking for an AI Builder to design, build, and maintain agentic AI-driven workflows that streamline and automate internal business processes across the company.
This role focuses on initiating and orchestrating AI agents, integrating them with existing systems, and reducing manual effort across Sales, Marketing, Order Management, Finance, HR, and more.
You will work closely with the Information Systems team and business stakeholders to turn repetitive, human-dependent processes into reliable, AI-powered flows.
This is a hands-on builder role, not a research or pure data science position.
Key Responsibilities:
Agentic AI & Automation:
Design and implement agent-based AI workflows to automate internal processes end-to-end
Build multi-step AI agents capable of:
Decision-making
Tool usage (APIs, SaaS tools, internal systems)
Escalation and exception handling
Continuously optimize AI flows to reduce human involvement while maintaining control and auditability
AI Tooling & Platforms:
Implement solutions using Agentic AI platforms, tools and frameworks, such as: OpenAI / Azure OpenAI / Copilot Studio / Gemini Enterprise, AWS bedrock (AgentCore), SFDC Agentforce
Low-code / no-code automation tools with AI capabilities (e.g., Make, Workato, UiPath, n8n)
Select and evaluate new AI tools to support internal automation initiatives
Systems Integration:
Integrate AI agents with internal systems such as: CRM (SFDC), ERP (NetSuite), ticketing systems (Jira)
Identity and access management
Monitoring, logging, and knowledge bases
Build and consume APIs to enable agent actions and data retrieval
Governance, Reliability & Security:
Ensure AI workflows comply with security, privacy, and compliance requirements
Implement guardrails, approvals, logging, and human-in-the-loop mechanisms where needed
Monitor AI performance, errors, hallucinations, and drift
Collaboration & Enablement:
Partner with business owners to identify automation opportunities
Translate business requirements into AI-driven solutions
Document AI flows, decision logic, and operational runbooks
Educate internal teams on AI capabilities and limitations.

This is your opportunity to get on the rocket ship and join a company that is building a cutting-edge enterprise network and secure cloud platform, and is on a fast track to becoming the worldwide market leader - dont miss it!
As part of this exciting journey, our company recently joined forces with Aim Security - a fast-growing innovator redefining how organizations secure and build with AI.
Backed by our companys global reach and powered by Aims startup energy, were building the future of AI Security together.
The mission is to protect how the world adopts and builds with AI - from the worlds biggest enterprises to fast-moving disruptors. We tackle hard, unsolved problems in AI, cloud, and data security - the kind that shape the next decade of technology. Our products already serve Fortune 500 customers and forward-thinking organizations worldwide, and were just getting started.
We are looking for a strong AI Engineer who wants to move into AI and and thrives in an end-to-end environment. You wont be building models in isolation. Youll join a multidisciplinary team that owns the full lifecycle of our AI Engine- from research ideas, through model serving and optimization, to monitoring and production reliability.
If youre a team-oriented engineer with strong communication skills and a passion for becoming a rockstar in the AI security space, we want you.
What youll do
End-to-End Ownership: from shaping research ideas and experimenting with models, to deploying, optimizing, and maintaining them in production.
Solve Real-World Data Problems: Tackle real-world "data-problems" to improve the reliability and accuracy of our production evaluations.
Optimize Runtime & Inference: Improve latency, throughput, and cost efficiency of our model serving stack. Think in terms of real traffic, constraints, and SLAs.
Staying Scientific: Proactively stay updated on the latest developments in NLP and AI technologies, ensuring our approaches remain at the industry's forefront.

We are looking for an experienced AI Engineer & Architect to lead the end-to-end development of a new AI-based platform for risk management. This is a hands-on role with responsibility for system architecture, development, and implementation of complex business logic in the financial and Generative AI domains. The platform will enable customers to build virtual, AI-driven teams based on autonomous agents. Responsibilities Design, build, and develop the platform from scratch, end-to-end ( backend, infrastructure, and user-facing components). Develop and orchestrate multi-agent systems capable of collaboration, analysis, simulations, and insight generation. Integrate leading LLMs (e.g. OpenAI, Anthropic), including RAG-based connections to Real-Time financial data. Perform prompt engineering and fine-tuning to ensure accurate and reliable outputs in financial use cases. Select the technology stack, design cloud infrastructure (AWS / GCP / Azure), and manage deployment.