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Experience Level
Entry Level
Qualifications
Proficient in programming languages such as Python, Java, or C++. Experience with machine learning frameworks like TensorFlow or PyTorch. Strong analytical skills and problem-solving abilities. Familiarity with data analysis and visualization tools. Excellent communication and teamwork skills. A degree in Computer Science, Engineering, or a related field is preferred.
About the job
unframe seeks an Applied AI Engineer to join the team in Tel Aviv-Yafo. The role centers on building and deploying artificial intelligence solutions that address practical, real-world challenges. Projects focus on meeting specific client needs through applied AI.
What you will do
Develop and implement AI-driven systems for client projects
Collaborate with a skilled team to design solutions that address concrete problems
Contribute to projects exploring new applications for artificial intelligence
Location
This position is based in Tel Aviv-Yafo, Tel Aviv District, Israel.
About unframe
unframe is a forward-thinking company based in Tel Aviv-Yafo, specializing in the application of artificial intelligence across various industries. Our mission is to harness the power of AI to create innovative solutions that drive efficiency and productivity for our clients. With a culture that fosters creativity and collaboration, we are committed to pushing the limits of technology.
We invite you to submit your CV in English and specify your level of English proficiency.At Mindrift, we specialize in connecting talented professionals with project-based opportunities in artificial intelligence for leading technology firms. Our focus is on the testing, evaluation, and enhancement of AI systems. Please note that this is a project-based role…
Please submit your CV in English and indicate your English proficiency level. Role overview toloka-ai, working with Mindrift, brings together professionals for project-based AI assignments with major technology companies. This freelance optical engineer position centers on evaluating and improving AI systems. The role is not permanent and is structured around specific projects. What you will do Create original optics problems that reflect real-world research workflows in physics. Design computationally demanding problems that cannot be solved manually in a short timeframe. Develop scenarios requiring advanced reasoning across mechanics, electromagnetism, thermodynamics, and quantum mechanics. Base problem sets on authentic research challenges or practical applications in optics and physics. Write clear problem statements and provide verified solutions. Requirements Degree in Physics (Theoretical, Experimental, or Computational) or a closely related field Minimum of 2 years of professional experience (applied, research, or teaching) Experience using numerical simulation methods Ability to design problems modeled on genuine research workflows Creative thinking across multiple physics domains Understanding of physics modeling and approximation techniques Strong written English skills (C1 level or higher) How to apply Apply Pass qualifications Join a project Complete tasks Get paid Project commitment Active project periods typically involve 10–20 hours of work per week. Workload may fluctuate and is not guaranteed outside these phases. Compensation Earnings can reach up to $35 per hour, depending on experience and task completion rate. Compensation may vary by project based on complexity, scope, and required expertise. Other projects on the platform may offer different pay rates as needed.
Join toloka-ai as a Freelance Evaluation Engineer and contribute to the cutting-edge field of AI evaluation. In this dynamic role, you will utilize your expertise to assess and enhance AI models, ensuring they meet the highest quality standards. As a remote position, you will collaborate with a diverse team of professionals from around the globe, engaging in exciting projects that shape the future of technology.
We invite you to submit your CV in English, including your proficiency level in the language.Mindrift is a dynamic platform that bridges skilled professionals with project-based AI opportunities from leading technology firms, focusing on the critical tasks of testing, evaluating, and enhancing AI systems. Please note that participation is on a project basis and does not constitute permanent employment.Project Responsibilities:Each project features unique tasks, and contributors may be involved in:Crafting innovative computational engineering problems that replicate authentic engineering workflows;Formulating challenges that necessitate Python programming for engineering calculations and simulations;Ensuring the tasks are computationally demanding and require numerical methods or iterative solutions;Creating problems centered around system design, optimization, and analytical processes;Developing tasks based on real-world research challenges or practical applications within engineering;Validating solutions using Python and standard engineering libraries;Providing clear documentation for problem statements along with verified correct solutions.Ideal Candidate Profile:This role is suited for engineers with Python expertise who are open to part-time, non-permanent projects. The preferred qualifications include:A degree in Electrical Engineering or a related discipline;Proficiency in Python for numerical validation; familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or other domain-specific libraries will also be considered;A minimum of 2 years of professional experience in applied, research, or teaching contexts;A solid grasp of practical engineering constraints and approximations;Exceptional written English skills (C1+ level);Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects will be advantageous.Project Engagement Process:1. Apply → 2. Pass qualification(s) → 3. Join a project → 4. Complete tasks → 5. Receive compensationTime Commitment:During active phases, tasks are expected to require approximately 10–20 hours per week, based on the project demands. This is an estimated range and may vary according to project activity.Compensation:Contributors can earn up to $37 per hour, depending on their experience level and contribution speed. Compensation may vary across different projects based on their specific scope, complexity, and expertise requirements.
About the RoleJoin us at root as we revolutionize software security with our pioneering autonomous AI platform. Our technology automatically identifies, rectifies, and validates software vulnerabilities, performing these tasks end-to-end and at scale. Imagine AI agents that seamlessly update dependencies, modify Dockerfiles, rebuild Go binaries with patched versions, and validate everything autonomously. This is an intellectually challenging and highly technical role where you will design, implement, and scale AI agent systems for real-world codebases. You will be at the confluence of backend engineering, AI systems, and application security, crafting agents, context pipelines, and evaluation frameworks that enable autonomous reasoning in production environments.What You’ll DoDesign and develop AI agents from the ground up to autonomously detect, repair, and validate vulnerable components.Establish and maintain scalable infrastructure for agent operations [AIOps], focusing on context management, evaluations, and orchestration.Create collaborative workflows that empower multiple agents to work together and reason collectively.Build tools and utilities that enhance agent capabilities (e.g., image inspection, diff generation, static analysis).Implement evaluation and performance metrics to ensure agent reliability and accuracy.Develop hybrid and vector database applications for efficient retrieval and context management.Integrate AI applications such as MCP-based systems, chat interfaces, and standalone utilities.Ensure all experiments are instrumented with tracing, observability, and structured metrics for reproducibility.
We invite you to submit your CV in English, detailing your proficiency in the language.Mindrift is a dynamic platform that connects exceptional professionals with project-based AI opportunities at prestigious technology firms, emphasizing the testing, evaluation, and enhancement of AI systems. Please note that participation is project-based and does not entail permanent employment.Opportunity OverviewEach project presents unique challenges, and contributors may be tasked with:Crafting original computational engineering problems that replicate authentic engineering workflows;Designing problems that necessitate Python programming for engineering calculations and simulations;Ensuring that problems are computationally intensive and require numerical methods or iterative solutions;Creating problems focused on system design, optimization, and analysis;Using real research questions or practical engineering applications as the foundation for problems;Validating solutions through Python using standard engineering libraries;Clearly documenting problem statements with verified accurate answers.Ideal Candidate ProfileThis role is ideal for engineers experienced in Python who are open to part-time, non-permanent projects. Candidates should ideally possess:A degree in Mechanical Engineering or related fields;Proficiency in Python for numerical validation, with knowledge of MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or other relevant programming languages as alternatives;A minimum of 2 years of professional experience, including applied, research, or teaching experience;A solid understanding of practical engineering constraints and approximations;Strong command of written English (C1+ level);Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience with international or applied projects are considered advantageous.How It WorksApplication → Qualification Process → Project Engagement → Task Completion → CompensationProject Time ExpectationsFor this project, tasks are estimated to require approximately 10–20 hours per week during active phases, depending on project needs. This is an estimate and not a guaranteed workload, applicable only during the active project period.CompensationParticipants can earn up to $37 per hour, contingent on their experience and contribution pace. Please note that compensation may vary across different projects based on scope, complexity, and required expertise.
We invite you to submit your CV in English, along with your English proficiency level.Mindrift serves as a bridge between talented specialists and project-based AI opportunities with top technology firms, aimed at testing, assessing, and enhancing AI systems. This is a project-based role, not a permanent position.Key ResponsibilitiesWhile each project features distinct tasks, contributors may:Craft original computational physics challenges that replicate authentic research workflows;Develop Python-based problems (utilizing Numpy, SciPy, Sympy) for problem-solving;Ensure that tasks are computationally demanding and cannot be manually solved in a reasonable timeframe (spanning days or weeks);Formulate problems that require complex reasoning in physics domains such as mechanics, electromagnetism, thermodynamics, and quantum mechanics;Base challenges on genuine research issues or practical applications found in physical sciences;Validate solutions using Python along with standard physics simulation libraries;Thoroughly document problem statements and provide verified solutions.QualificationsThis role is ideal for optical engineers proficient in Python who are open to part-time, non-permanent projects. Preferred candidates will possess:A degree in Physics (Theoretical, Experimental, or Computational) or related disciplines;Strong Python skills for numerical validation; familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or other programming languages is also beneficial;A minimum of 2 years of professional experience in applied work, research, or teaching;Experience with numerical simulation techniques;The capability to design problems that reflect real-world physics research processes;Innovative thinking in problem design spanning various physics fields;Knowledge of physics modeling and approximation strategies;Exceptional written English skills (C1+).Application ProcessApply → Meet qualifications → Join a project → Complete assigned tasks → Receive paymentTime CommitmentFor this project, contributors can expect to dedicate approximately 10–20 hours per week during active project phases. This estimate is subject to project requirements and is not guaranteed.CompensationContributors can earn up to $35 per hour, contingent upon their expertise and contribution pace. Compensation varies among projects based on scope, complexity, and required skills. Be aware that different projects may offer varying compensation levels.
Role overview Toloka AI seeks a freelance AI trainer with expertise in civil engineering and strong Python programming skills. This position is fully remote and available to candidates based in Israel. What you will do Use civil engineering knowledge and Python to contribute to the training and improvement of AI models. Work closely with Toloka AI's team to assist in developing advanced AI systems. Location This is a remote role for candidates residing in Israel.
Who is Nexxen? Nexxen is at the forefront of transforming advertising through innovative and flexible solutions powered by data. Our technology seamlessly integrates a demand-side platform (DSP) and a supply-side platform (SSP), anchored by the Nexxen Data Platform, enabling advertisers, agencies, publishers, and broadcasters globally to harness data and advanced TV capabilities in meaningful ways.Why Nexxen? Join a diverse team dedicated to revolutionizing the advertising landscape with creativity and collaboration at its core. Our employees embody the Nexxen Way, driven by the principles of Customer Centricity, a Curious Mindset, and Collaboration without Ego.Safety NoticeWe prioritize the safety and well-being of our employees. Be cautious of online scams and fraudulent job postings. Nexxen will never ask for payment for employment or promote questionable financial schemes. If you encounter dubious communications or job postings claiming to be from Nexxen, please reach out to us at infosec@nexxen.com to verify their authenticity.Nexxen Fraud Alert and Notice: Protect Yourself from Impersonation and Fraudulent ActivityWe are seeking a Platform AI Engineer to join our AI Engineering Group in Tel Aviv. This pivotal role involves the development of foundational AI infrastructure and agentic frameworks that will enhance next-generation AI capabilities across Nexxen’s suite of products.Key ResponsibilitiesDesign and develop LLM-based capabilities for use across various productsArchitect and implement agentic systems, including multi-agent workflows and orchestration layersCreate and deploy cutting-edge AI-driven solutions to enhance platform functionalitiesTackle complex business challenges using AI systems beyond mere APIsEstablish and uphold best practices, standards, and methodologies for AI implementation
Menlo Security is dedicated to creating a secure environment for global connection, communication, and collaboration without compromise. The challenges brought on by COVID-19 have intensified the importance of our mission. We serve a diverse clientele, which includes Fortune 500 corporations, nine out of ten of the largest global banks, and the Department of Defense.As we transition from 400 employees to the next stage of our growth, we are on the lookout for passionate individuals who embody empathy and flexibility. The ideal candidate is ethical, highly organized, and committed to seeing projects through to completion. They genuinely care about service and are open to receiving as well as providing constructive feedback.Menlo Security is well-capitalized for growth, backed by distinguished investors including Vista Equity Partners, General Catalyst, JPMC, American Express, HSBC, and Ericsson Ventures.We are in search of a Senior AI Security Engineer to tackle the emerging security challenges posed by autonomous AI agents. In this pivotal role, you will conduct research, design, and implement innovative strategies to detect and address prompt poisoning, context manipulation, malicious agent behaviors, and other adversarial threats targeting agentic AI systems.You will collaborate closely with engineering teams to translate advanced security research into effective, deployable security measures that safeguard agents in real-world environments, especially when they interact with untrusted web content.
Join DoubleVerify as a Senior AI Engineer and play a pivotal role in shaping the future of advertising technology.About UsFounded in Israel, DoubleVerify is a leading big data analytics firm (Stock: NYSE: DV). We monitor and analyze billions of ads daily for some of the world's largest brands. With the capacity to process over 100 billion events per day and peak rates exceeding 1 million requests per second, we deliver real-time analytics with minimal latency. Our mission is to ensure that every advertisement is fraud-free, contextually relevant, geographically targeted, and effectively engaging users throughout its lifecycle.Our global presence spans multiple offices including our headquarters in New York City and R&D centers in Tel Aviv, New York, Finland, Berlin, Belgium, and San Diego. We thrive in a dynamic environment filled with challenges that require innovative solutions. If you are passionate about working in a large-scale setting and eager to contribute to products that significantly impact the industry and the web, we would love to have you on our team.Your RoleWe are seeking a dedicated Software Engineer with a keen interest in AI and Generative AI. You will be part of an innovation-driven team focused on developing agentic AI systems—autonomous software agents capable of executing complex tasks across diverse tools, APIs, and data sources.Your responsibilities will include designing and implementing scalable backend systems that seamlessly integrate large language models and other AI technologies into production-level services. This position combines backend engineering, AI integration, and rapid prototyping, offering ample opportunities for learning, experimentation, and delivering impactful solutions.Architect and implement distributed services that drive AI applications.Develop multi-step reasoning pipelines, retrieval-augmented generation (RAG), and specialized AI capabilities.Create robust APIs, plugins, and integrations for AI agents to interact with external systems and data sources.Rapidly develop and refine proof-of-concepts to validate ideas before scaling them to production.Implement monitoring, evaluation, and logging systems to track AI features in a live environment.Collaborate closely with product managers, designers, data scientists, and AI engineers to create user-centric solutions.Stay updated on emerging AI frameworks, tools, and best practices to enhance reasoning, planning, and autonomy in backend services.
About UsOurRitual is an innovative digital platform that is transforming the landscape of relationship guidance. Through expert-led sessions, tailored pathways, and captivating content, we empower individuals and couples to navigate their relationship challenges effectively. As we continue to grow, we are eager to bring passionate individuals onto our exceptional team to enhance the experiences we offer our users.Role OverviewWe are in search of a skilled Generative AI Engineer to spearhead our AI initiatives from the ground up — overseeing everything from infrastructure and production systems to internal adoption and cross-team collaboration.In this pivotal role, you will contribute significantly to developing the world's first Consumer Therapy AI Product (yes, we mean a truly functional one in production).This position is essential in our fast-paced, high-growth B2C startup, requiring a proactive leader who can champion engineering standards, manage technical debt, and implement best practices while fostering a product-oriented mindset that prioritizes our customers.About YouYou embody a strong sense of teamwork and care deeply about the organizational culture, setting high standards for professionalism and maturity.You are a hands-on doer, driven by action rather than advisory roles, with the ability to translate challenges into actionable steps. You can balance individual work while effectively managing multiple priorities and motivating those around you.A fast learner and versatile individual, you thrive in a dynamic and evolving environment. You have the capability to simplify complex problems into manageable tasks while maintaining a clear vision of the bigger picture.You bring extensive experience as a hands-on engineer, particularly in developing products based on LLMs, with a genuine passion for AI and LLM technologies. Your eagerness to stay updated on the latest models and advancements in this field is evident, along with a solid understanding of the AI ecosystem.Key ResponsibilitiesAI Infrastructure & ProductionDesign and own the architecture for Generative AI (LLMs, pipelines, agents).Develop and deploy AI features into production.Integrate enterprise models (OpenAI, Anthropic, Google).Enhance cost efficiency, reduce latency, and ensure reliability (tokens, caching, evaluations).Address real-world constraints (context window, hallucinations).
About Sweet SecuritySweet Security is a rapidly growing cloud security startup driven by innovation, teamwork, and a commitment to excellence. As cloud environments evolve at an unprecedented pace, Sweet Security provides pioneering Cloud Runtime CNAPP and AI Security capabilities that enable organizations to detect and mitigate runtime threats in real-time.We are revolutionizing cloud protection by merging deep engineering expertise with a dynamic, collaborative culture where every team member contributes and thrives. Supported by $120M in funding from top investors including Evolution, Glilot, Greylock, Zscaler, Key1 Capital, and CyberArk, Sweet Security is swiftly scaling to create the next generation of runtime cloud protection and empower talented individuals to make a significant impact from their very first day.Job DescriptionWe are on the lookout for a Senior AI Engineer to join our core team responsible for delivering cutting-edge AI-driven security solutions that safeguard our clients’ AI systems. You will be tasked with designing, developing, and deploying LLM-based capabilities and AI agents to enhance real-time threat detection, investigation, and automated response within cloud infrastructures.
Role overview toloka-ai is hiring a Strategy Consultant to focus on AI training and evaluation. This remote role is available to candidates based in Israel. The position centers on helping organizations shape their approach to artificial intelligence through both strategic planning and hands-on support. What you will do Collaborate with top firms to guide and refine their AI strategies Contribute to the development and assessment of various AI initiatives Use strategic thinking to support clients in reaching their AI objectives Requirements Keen interest in artificial intelligence Background in strategic planning or consulting Ability to work well with diverse stakeholders Location This is a remote position open to candidates living in Israel.
Full-time|On-site|Tel Aviv-Yafo, Tel Aviv District, Israel
Role overview unframe seeks an Applied AI Engineer to join the team in Tel Aviv-Yafo. The role centers on building and deploying artificial intelligence solutions that address practical, real-world challenges. Projects focus on meeting specific client needs through applied AI. What you will do Develop and implement AI-driven systems for client projects Collaborate with a skilled team to design solutions that address concrete problems Contribute to projects exploring new applications for artificial intelligence Location This position is based in Tel Aviv-Yafo, Tel Aviv District, Israel.
Join Our Innovative Team at GuiddeAs a leading AI digital adoption platform, Guidde is revolutionizing how modern organizations create and consume knowledge. Established in 2020 by a team of experienced entrepreneurs, we harness the power of generative AI to convert workflows into rich, multi-format documentation within minutes. Our platform empowers teams to disseminate knowledge seamlessly across employees, customers, and AI systems, transforming ordinary processes into engaging, in-app video guides that exist where work truly happens.
Join our newly formed team at Datadog, where we are focused on empowering developers through innovative AI-driven workflows. We are excited to harness the capabilities of AI agents such as Cursor, Claude code, GitHub Copilot, and Datadog’s own AI solutions to enhance the developer experience.We are searching for product-oriented engineers who are passionate about developer tools and software development life cycle (SDLC) improvements. Your mission will be to rapidly define, develop, and deploy features and tools that transform our Datadog customers into exceptionally productive developers.At Datadog, we cherish our office culture, which fosters relationships, creativity, and collaboration. We embrace a hybrid work model to enable our employees to achieve a work-life balance that suits their needs.
As an AI Revenue Engineer at surglobal, you will play a pivotal role in the creation, implementation, and management of AI-driven agents that enhance sales, marketing, and revenue operations.Key ResponsibilitiesDevelop and manage autonomous agent systems that effectively execute go-to-market strategies, including conducting research, outreach, data enrichment, and comprehensive reporting.Oversee the complete AI operations toolchain — identifying automation opportunities, designing and deploying agents, and continuously fine-tuning their performance.Engage with leadership to tackle significant operational challenges and deliver measurable results.Enhance and maintain agent systems integrated with platforms like HubSpot, Clay, Slack, Notion, and Attention.
Join CyberArk's Generative AI foundation team as a Senior AI Software Engineer. We are pioneering the development of AI agents and shared infrastructure that enhance GenAI capabilities across our organization. This role is critical for enabling our product lines to implement agentic workflows in a safe, reliable, and scalable manner.As a Senior AI Software Engineer, you will engage in the complete software lifecycle, transitioning from rapid prototypes and proofs of concept to production-grade, observable systems. You will collaborate closely with product managers, researchers, and engineers, transforming innovative ideas into robust services with a focus on practical experimentation, iterative development, and achieving operational excellence.Your expertise will be applied hands-on with state-of-the-art large language models (LLMs) and the modern agentic ecosystem, utilizing a diverse array of AWS services. You will leverage advanced frameworks and methodologies to design, develop, and continuously enhance our solutions through effective design principles, adaptable implementations, comprehensive telemetry, and feedback loops from production environments.#LI-Hybrid#LI-OS1
Join the Revolution in Cloud Networking and Security!Cato Networks is leading the charge in merging enterprise networking and security into a singular, comprehensive global service powered by the cloud. Under the visionary leadership of Shlomo Kramer, a trailblazer in networking and security (founder of Check Point, Imperva), we have pioneered a unique technology that birthed a new category recognized by Gartner as 'SASE', projected to soar to a market value of $28.5 billion by 2028.This is your chance to board a rocket ship on its way to becoming the global leader in cutting-edge enterprise networks and secure cloud platforms. Don’t let this opportunity slip away!We are seeking a proactive and innovative AI Engineer to create impactful AI solutions that enhance operational efficiency across Sales, Marketing, HR, and Operations. This role is not about academic research; it's about designing and deploying practical AI systems that address real-world challenges where existing tools fall short.
