לוח משרות דרושים AI Engineer משרה מלאה

We are looking for a talented and driven developer to join our Research Engineering team and contribute to the development of scalable, cloud-native AI solutions on AWS. This role focuses on building and maintaining infrastructure and services that support advanced machine learning workflows, real-time inference, and robust observability.
You will research and build data-driven applications. Research and develop Machine Learning algorithms to turn forensic data into investigation leads, evidence, and intelligence insights. Be a part of a heterogeneous, multi-disciplinary research team. Take projects end to end, from the inception of the idea, through data and algorithm research and POC development. The work is both analytical and experimental in nature and includes prototyping of new algorithms, investigating data, and evaluating algorithm performance.
Responsibilities
Design and implement features for our AWS-based AI solution, including job orchestration, manifest generation, and API integrations.
Develop and maintain CI/CD pipelines using GitHub Actions, CDK, and AWS infrastructure (e.g., SageMaker, Lambda, Bedrock).
Ensure code quality and reliability through comprehensive unit testing, performance testing, and observability enhancements.
Collaborate with cross-functional teams to integrate AI services into broader investigation workflows and runtime environments.
Troubleshoot deployment issues and contribute to the continuous improvement of dashboards and monitoring tools.

We are seeking a highly skilled AI Engineer to help define the future of intelligent forensic research platforms.In this role, you will lead the design and integration of advanced AI capabilities into a large-scale, production-grade environment, working closely with core engineering and research teams.
You will contribute to unifying internal tools and workflows into a cohesive, AI-driven ecosystem that significantly enhances developer and researcher productivity.You will also drive the evolution of automation and analysis pipelines, replacing brittle processes with robust, scalable, and intelligent solutions.
A key part of the role involves exploring complex datasets, evaluating models, and applying generative AI and heuristic approaches to uncover, structure, and interpret digital artifacts.This position offers the opportunity to work on challenging problems at the intersection of AI, systems engineering, and data analysis, with real influence over architecture, tooling, and research direction.
If you are motivated by building high-impact AI systems, solving non-trivial technical problems, and enabling teams to operate at a higher level, this role provides a unique opportunity to make a lasting impact in a mission-driven domain.
Key Responsibilities:
Develop and implement AI solutions to parse and analyze data from forensic extractions, including mobile devices.
Design, build, test, and maintain efficient, reusable, and reliable C# .NET code with integration to cloud services in AWS.
Utilize heuristic-based methods and GenAI technologies to enhance data identification and classification.
Research, explore data, assess, and implement the best models to solve various forensic research problems.
Collaborate with other professionals across the company, combining AI, Forensic Research, and Engineering expertise.
Translate forensic research methods into AI algorithms and innovation suggestions.
Location - Israel, Petah.

As an AI Engineer on our Search Engine team, youll help build the state-of-the-art, powered-by-AI search. Youll design and operate high-performance services that transform user intent into fast, accurate, and reliable results. Your work sits at the foundation of how customers discover companies and contacts, delivering a seamless, intelligent search experience at scale.

What You'll Actually Do:

Build lightning-fast APIs serving recommendations, contact, and company data to millions of users daily.
Design event-driven systems that sync data across products and data lakes in real-time.
Develop agentic flows and integrate AI solutions that optimize user experience.
Optimize data retrieval, caching, and indexing for sub-second response times at scale.
Create fault-tolerant services with robust monitoring and CI/CD that just work.
Collaborate with Data Scientists and ML engineers to power AI-driven features and pipelines that customers use.

As a Data Architect, youll sit at the intersection of data engineering, ML systems, and platform architecture. Youll own the patterns, guardrails, and data platform capabilities that let teams ship AI-native, low-latency experiences at scale-safely, reliably, and cost-effectively.

What Youll Actually Do:

Design AI-native data systems: LLM/RAG pipelines, embeddings & vector search, and real-time inference- production-grade and observable.
Evolve the data platform: Batch + streaming + lakehouse; CDC, orchestration, lineage/quality, and clear data contracts for ML readiness.
Set org standards: Contract-first APIs & event schemas, ADRs, SLOs (latency/MTTR/cost); lead design reviews and architecture spikes.
Modernize pragmatically: Guide adoption of Databricks, Kafka, Airflow, Kubernetes, Terraform, and modern observability- fit to purpose.
Lead by influence: Mentor Tech Leads, partner with Product/ML/Platform, and turn goals into resilient, measurable systems.

What you will be doing
Pre-train and fine-tune video 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-video generation.
Collaborate with data engineers to curate and preprocess text and video data.
Optimize models for high performance, ensuring efficiency in training and inference phases.
Build new controls and capabilities into generative 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 seeking a highly skilled Senior AI Engineer to design and implement complex, multi-agent systems powered by LLMs.
In this role, you will build and orchestrate AI agents using LangGraph and LangChain, manage stateful conversations, and support scalable RAG pipelines that connect external knowledge sources to reasoning agents. Youll work closely with product and backend teams to deliver real, production-grade AI capabilities.
Responsibilities:
Agent Orchestration: Design, build, and maintain networks of LLM-powered agents that collaborate, share context, and reason together to execute complex workflows.
LangGraph Architecture: Implement and manage LangGraph graphs that handle message memory, context persistence, and multi-step task coordination.
RAG Pipelines: Optimize RAG systems to enrich agent reasoning with relevant, up-to-date information.
Prompt & API Composition: Build modular prompt templates and API calls that agents use for reasoning, retrieval, and action execution.
Integration & Deployment: Work with engineers to integrate the agentic framework into production systems via APIs and backend services.
Evaluation & Iteration: Implement evaluation frameworks to measure performance, reliability, and consistency of AI responses across multi-agent pipelines.
Cross-Team Collaboration: Partner with product and engineering teams to align AI behaviors with real user workflows and KPIs.

We are seeking a top-notch AI Runtime Team Lead to drive forward the development of the full software stack and architecture behind our revolutionary coprocessor. The AI Runtime is the layer responsible for attaching the AI framework and optimizing the accelerator runtime to best execute the AI workload.You will demonstrate creative and critical thinking capabilities and have a genuine passion for tackling complex low-level software issues. In this role, youd be responsible for leading and executing cross-team SW development activities from start to finish.
Responsibilities
Lead the development and execution of the AI runtime software stack, including team building and strategic planning.
Full responsibility for the technical aspects of the solution in the application Runtime flow and guide the team's implementation.
Taking an active role in hands-on implementation and providing technical guidance to team members.
Set a high bar for the software development cycle and code quality, and actively mentor others to achieve it. Guide other developers in the team as part of the joint effort.
Wide system impact through collaboration with the other SW teams.

We are seeking a highly skilled AI Application Team Lead to build and lead a team responsible for developing, running, and optimizing large-scale AI workloads on our AI hardware platform. This role focuses on benchmarking state-of-the-art models (e.g., LLaMA, DeepSeek), executing MLPerf suites, analyzing system-level performance, and driving cross-stack optimizations across hardware, runtime, and software frameworks.
The ideal candidate combines strong technical depth in AI/ML systems, hands-on experience with LLM workloads, and leadership capability to guide a high-performance engineering team.
Responsibilities
Lead and mentor a team of AI application and performance engineers.
Run and optimize AI workloads (LLaMA, DeepSeek, etc.) and execute MLPerf benchmarks.
Analyze end-to-end performance and identify HW/SW bottlenecks.
Develop optimization strategies across models, kernels, frameworks, and runtime.
Build profiling, debugging, and validation tools for large-scale AI workloads.
Collaborate with hardware, compiler, and device software teams to improve performance.

we are looking for a AI/ML/Software Engineer.
Here, you will tackle ever-evolving challenges and leverage the dynamic AI landscape to craft solutions that transform the cybersecurity industry. You'll have the chance to build cutting-edge models and AI systems for cybersecurity. You'll gain deep expertise in the fields of both AI and security, engaging with all facets of Generative AI techniques and their deployment in production environments. You will collaborate with a talented team of researchers, engineers and security experts, and play a pivotal role in developing groundbreaking AI solutions. Shape the future of AI for Security with us and make an enduring impact on AI adoption across the world!
Develop and train cutting-edge AI models for the security domain.
Develop a platform for AI data processing, training, fine tuning, evaluation and other AI related needs.
Develop agentic systems that automate and uplift security operations.
Author blog posts, white papers and research papers related to developments in AI for the security landscape.
Collaborate with cross-functional teams of researchers and engineers to translate research ideas into products.
Contribute to our groups culture as an early member of the team.

We welcome AI Researchers, Applied Scientists, Machine Learning Engineers and Software Engineers with experience in large-scale systems and AI/ML to join Foundation AI, a new group focused on developing open-source LLMs (large language models) and other AI technology for cybersecurity.
Here, you will tackle ever-evolving challenges and leverage the dynamic AI landscape to craft solutions that transform the cybersecurity industry. You'll have the chance to build cutting-edge models and AI systems for cybersecurity. You'll gain deep expertise in the fields of both AI and security, engaging with all facets of Generative AI techniques and their deployment in production environments. You will collaborate with a talented team of researchers, engineers and security experts, and play a pivotal role in developing groundbreaking AI solutions. Shape the future of AI for Security with us and make an enduring impact on AI adoption across the world!
Develop and train cutting-edge AI models for the security domain.
Develop a platform for AI data processing, training, fine tuning, evaluation and other AI related needs.
Develop agentic systems that automate and uplift security operations.
Author blog posts, white papers and research papers related to developments in AI for the security landscape.
Collaborate with cross-functional teams of researchers and engineers to translate research ideas into products.
Contribute to our groups culture as an early member of the team.