לוח משרות דרושים AI Engineer משרה מלאה, לחיפוש זה נמצאו 162 משרות

Were growing fast and looking for an AI Security Team Leader to join our Engineering Team and play a key role in leading the development of our cutting-edge AI security products (VIBESEC).
This is a high-impact, cross-functional role where youll work closely with Product, Design, and other Engineering teams, helping us deliver high-quality, customer-centric security solutions in a fast-evolving domain.
If youre highly accountable, adaptable, and business-value driven, and excited about cybersecurity, cutting-edge AI, and fast-paced startup challenges, wed love to meet you.
What Youll Be Doing:
Lead & Mentor: Lead a high-performing engineering team developing next-gen AI security products in a dynamic, rapidly changing domain.
Drive Value: Work closely with Product and customers to understand business requirements and transform them into robust, high-quality technical solutions.
Cross-Functional Ownership: Collaborate end-to-end with Product, Design, and other R&D teams to execute complex cross-company projects.
Technical Guidance: Provide architectural overview and technical mentorship to your team, stepping in when necessary to guide proper technical decisions and implementations.
Delivery & Quality: Own the execution, quality, and delivery of products running on endpoints and cloud environments in a high-velocity startup environment.

Medison is addressing one of the pharma industry’s most pressing challenges: enabling access to breakthrough therapies for patients with severe and rare diseases in international markets where traditional commercialization models fall short. As the creator and leader of the global partnership category, Medison has built a first-of-its-kind unified commercialization platform that enables biotechs to effectively plan, optimize and launch their therapies on a global scale. With a strong leadership team and a proven track record, Medison is the partner of choice for innovative biotech companies seeking to expand beyond the US, Western Europe and Japan into regions where most of the world’s population resides. Medison’s affiliate-like model integrates commercial, medical and operational capabilities across diverse geographies, accelerating access and delivering life-changing treatments to more patients, faster. Medison is on a mission to ensure that every patient, regardless of where they live, has the opportunity to benefit from breakthrough therapies. We are looking for a professional S enior AI Enablement to drive AI and business transformation initiatives, combining strategic thinking, execution discipline, and strong cross-functional stakeholder management. This role will play a key part in shaping and driving AI-enabled transformation across the organization, working closely with business, product, AI, and IBT teams to translate strategic priorities into clear execution plans, adoption frameworks, and measurable business impact. The role will be responsible for driving transformation execution governance, including initiative prioritization, business process understanding, dependency management, meeting outcomes, follow-up cadence, risk tracking, and cross-functional accountability across strategic initiatives.

Responsibilities:

* Drive AI and business transformation initiatives from strategy into structured execution.
* Work closely with business, product, AI, and IBT stakeholders to shape AI-driven capabilities and adoption processes.
* Lead transformation execution governance, including planning, prioritization, follow-up, dependency management, and execution rhythm.
* Translate business priorities into actionable plans, clear workstreams, and measurable outcomes.
* Define KPIs, ROI models, and cost-related considerations to support decision-making and value realization.
* Identify risks, gaps, dependencies, and blockers, and ensure timely escalation and resolution.
* Build and implement transformation processes, governance structures, and execution frameworks.
* Support senior stakeholders with clear communication, structured updates, and presentation materials.
* Drive cross-functional alignment and accountability across multiple teams and initiatives.

City:
Petah Tikva

CodeValue is looking for a hands-on Senior AI Engineer with real-world experience building and deploying LLM-based and Agentic Systems to production. You will be responsible for taking AI solutions from concept to reliable, scalable production systems, working across AI, backend, cloud, and infrastructure. Responsibilities Design, develop, and deploy LLM-based and Agentic Systems for production environments. Take AI/Agentic solutions from PoC and concept stages to stable, scalable, and reliable production systems Develop backend services and AI solutions using Python Work hands-on with agentic frameworks such as LangGraph, CrewAI , or similar/custom frameworks. Deploy and operate AI systems in cloud environments Troubleshoot complex system issues and improve observability, reliability, and performance Collaborate with development, DevOps, security, and other technical teams.

We're looking for a Sr. DevOps Engineer to help reshape how our infrastructure and delivery pipelines are built - not just automating tasks, but engineering the platforms and AI-assisted tooling that let our engineers ship faster, safer, and with more confidence. You'll report to the DevOps Sr. Manager.

This isn't a "keep the lights on" role. You'll take real ownership of how our CI/CD and infrastructure evolve, with the autonomy to decide where AI-assisted tooling (copilots, LLM-driven diagnostics, intelligent automation) can remove toil and accelerate the software delivery lifecycle for the teams that depend on us. If you like turning messy, manual processes into reliable, self-service platforms, you'll feel at home here.


Location
Working at least 3 days a week from the office in Caesarea


What you will be doing:

Operate and extend our Kubernetes and container-based platforms, orchestrating deployments across AWS.
Own and evolve CI/CD pipelines spanning Debian packaging, container orchestration, and cloud-native deployments - increasingly augmented with AI-assisted testing, anomaly detection, and self-healing automation.
Design and build Python modules, tools, and services that power our CI frameworks, packaging processes, and operational automation - with AI coding assistants (e.g., Claude Code, Copilot) as a standard part of your workflow for scaffolding, refactoring, and code review.
Partner with development teams to diagnose and resolve complex issues across build systems, APIs, and dev environments, leveraging AI-assisted log analysis and root-cause tooling to cut time-to-resolution.
Maintain and improve automated build/test pipelines using Jenkins and Argo Workflows.
Apply infrastructure-as-code practices with Terraform, ArgoCD, and Helm to keep environments reproducible and easy to reason about.
Explore and pilot AI-driven observability and incident-response tooling (e.g., anomaly detection on metrics/logs, automated runbook suggestions) to make our systems more self-diagnosing over time.
Champion the use of AI/LLM tooling to eliminate manual, repetitive DevOps work - and share what works so the whole team levels up.

We're hiring an exceptional Applied AI Scientist to join our team!
In this role, you'll design and deploy enterprise-grade AI agents that drive real business impact across our core functions - Sales, Marketing, Customer Success, Customer Support, Risk, and Finance. You'll be building agentic systems that execute complex, multi-step business workflows end-to-end. The ideal candidate is a hands-on builder with deep AI expertise who thrives on turning complex business problems into reliable, production-grade AI systems.
Why join us?
We are the AI-powered platform for finance automation, elevating how finance teams operate in the global economy. We empower our customers to scale faster and smarter by removing the complexities of doing global business and accelerating their finance operations efficiency. Our platform provides a comprehensive suite of finance automation solutions designed for mid-market businesses across accounts payable, global payouts, procurement, employee expenses, corporate cards, supplier management, tax compliance, and treasury. Our partners with leading financial institutions such as Citi, Wells Fargo, J.P. Morgan, and Visa, enabling over 5,000 global companies to efficiently and securely pay millions of suppliers and payees across 200+ countries and territories, in 120 currencies.
In This Role, You Will Be Responsible For:
Enterprise AI Agent Development: Designing, building, and deploying AI agents that automate and augment high-value workflows across business functions - including lead qualification and outreach (Sales & Marketing), churn reduction(Customer Success), and Ticket deflection (Support).
Agentic Architecture & Orchestration: Owning the end-to-end agent stack - from tool use, memory management, and multi-step planning to human-in-the-loop escalation patterns, guardrails, and audit trails suited for an enterprise fintech environment.
Knowledge Systems: Building and maintaining RAG pipelines that ground agents in our proprietary knowledge - product documentation, customer data, financial records, and internal playbooks - using vector databases, hybrid search, and re-ranking.
Evaluation & Continuous Improvement: Defining agent evaluation frameworks that measure task completion, accuracy, hallucination rates, latency, and business impact - then iterating on agent behavior based on real usage data and stakeholder feedback.
Cross-Functional Collaboration: Partnering with stakeholders across the company to define agentic use cases, translate business requirements into technical features, and deliver products that create measurable ROI - from data preprocessing through product deployment.

were looking for a founding AI Engineer to build and define our research function from zero. this is a rare opportunity to work on some of the hardest unsolved problems in applied ai and agents, with massive ownership, visibility, and room to grow into leadership quickly.
what youll do
lead the ai domain: take ownership of our agent architecture and help define its next phases, standards, and direction.
solve hard, unsolved problems: work on challenges in ai agents, reasoning over complex systems, and autonomous decision-making that dont yet have clear playbooks.
build production ai: design, implement, evaluate, and deploy ai systems used by real customers.
be outward-facing: publish technical blogs, benchmarks, and papers; represent the company in the ai and data community.
move fast with autonomy: own problems end-to-end with minimal guidance, working directly with founders.
deliver real customer value end-to-end: take features from idea to production, see them used by customers, and iterate based on real-world impact.

We're looking for a hands-on Agentic AI Engineer to build practical, high-impact AI solutions for our Product Support organization.
This is not a research role. You'll design and ship real AI systems that improve support workflows and processes - building custom solutions where off-the-shelf tools fall short. The role also requires close collaboration across teams: aligning with different stakeholders' needs and priorities, and building strong, ongoing partnerships across the organization.
Responsibilities:
Partner directly with business teams to identify automation and optimization opportunities
Design and implement agent-based AI workflows to automate internal processes end-to-end
Design and build LLM-powered tools (agents, workflows, copilots) using frameworks like LangGraph / LangChain
Develop RAG pipelines, integrate multiple data sources, and build intelligent automation flows
Deep-dive into company data - validate quality, uncover gaps, and ensure AI solutions are built on solid foundations
Take solutions from idea → prototype → production
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.

we are seeking a software engineer with a passion, knowledge, and experience for taming, training, and controlling LLM and ML models, for diverse use cases and users. In this role, you will take part in all the steps of shipping GenAI, from idea to enterprise-grade solution, across all stages of the product development lifecycle.

Responsibilities:
Get deeply acquainted with a problem domain, investigate and prototype technologies and architectures for an adequate solution
Collaborate with product and engineering teams to translate customer-facing features into detailed product specifications and solution design
Build GenAI-powered applications/agents from the ground up - from data collection and model training to deployment and production monitoring
Conduct experiments and model evaluations, analyze performance metrics, and iterate rapidly to maximize accuracy and effectiveness
Develop and propagate best practices, including reusable tools or frameworks, to ensure robust and maintainable GenAI engineering
Stay updated with emerging trends and advancements in AI - including new models, frameworks, and techniques - and bring forward innovative ideas for their adoption

Alice is a leading platform for Trust & Safety teams worldwide, combining cutting-edge AI with world-class expertise to protect users from the widest spectrum of online harms and keep customers two steps ahead of bad actors. We are looking for a Senior GenAI Data Scientist with strong hands-on experience in GenAI red teaming, adversarial testing, machine learning, and large-scale data analysis. You will develop the data science and ML capabilities behind an automated GenAI red-teaming platform. You will analyze and cluster adversarial prompts, identify emerging attack patterns, build models for automated prompt generation and mutation, and develop data-driven methods for prioritizing and evaluating security risks across different AI models. We are looking for a hands-on technologist with deep expertise in data science: clustering, scaling, machine learning, and statistical analysis. Key Responsibilities
* Build agents that act as data scientists at scale, reasoning, planning, and executing multi-step workflows to generate and analyze adversarial attacks.
* Manage and analyze prompt and response data from multiple sources (red-team campaigns, model evaluations, synthetic attacks); clean, curate, normalize, and label it for analysis.
* Analyze large volumes of structured and unstructured data to uncover trends, clusters, and anomalies, such as attack families, jailbreak techniques, and previously unseen patterns.
* Develop ML models and predictive algorithms to automate red-teaming.
* Build evaluation and monitoring pipelines to measure attack success and track model behavior across models and providers.
* Use statistical techniques and experiments to validate findings and ensure accuracy and reproducibility.
* Take research to production: build reliable, scalable systems optimized for cost and latency, with solid engineering practices (testing, CI/CD, telemetry).


About Alice:
Alice is a trust, safety, and security company built for the AI era. We safeguard the communicative technologies people use to create, collaborate, and interact- whether with each other or with machines. In a world where AI has fundamentally changed the nature of risk, Alice provides end-to-end coverage across the entire AI lifecycle. We support frontier model labs, enterprises, and UGC platforms with a comprehensive suite of solutions: from model hardening evaluations and pre-deployment red-teaming to runtime guardrails and ongoing drift detection. Alice is widely considered a global leader in online safety and AI security. We have some of the most forward-thinking and passionate minds in the world working to safeguard over 3 billion users across the largest AI and tech platforms. If you're creative and driven to secure the future of AI, we want to hear from you!

we are a fast-growing tech company in the automotive space with hubs across the US and Israel. We are disrupting the multi-trillion-dollar transportation industry with our advanced Customer data Platform (CDP). Our work happens in the fast lane as we bring AI-powered, data -driven solutions to a quickly evolving industry. Our team at our company is made up of curious and creative individuals who are always looking to achieve the impossible. We are bold, collaborative, and goal-driven. At our core, we believe every voice has value and can impact our bottom line. We are looking for an AI AppSec Engineer to join our team and make a real impact on our Secure Software Development Lifecycle! As an AI AppSec Engineer your mission will be to be the driving force behind our secure development lifecycle. You wont just find bugs; you will help build the systems that prevent them. You will have the opportunity to help navigate the "Agentic Era" by building autonomous security guardrails, securing LLM-based workflows, and empowering developers to move fast without breaking security. You will also be responsible for working closely under the AppSec Architect. This role is based out of our Tel-Aviv site and will report to the AppSec Architect

What you will be responsible for:

* Build & automate: Develop and maintain internal security tooling, automated workflows, and AI security agents.
* Code integrity: Execute secure code reviews and provide actionable remediation guidance to engineering teams.
* Vulnerability management: Lead the tracking, triaging, and reporting of security flaws across all product lines.
* Best practice advocacy: Drive the adoption of secure coding standards, partnering with R&D and DevOps teams to embed security early and often.
* Extend our D&R capabilities: Build scalable solutions to identify malicious activity, triage alerts, and investigate and remediate incidents.
* Document: Draft requirement documents for security products and innovative technologies.
The top candidate will also have:

* Endless curiosity and passion for emerging technology
* Ability to handle prioritize and execute multiple tasks simultaneously.
* Ability to work collaboratively across multiple departments.
* Fluent in English - ability to lead meetings and present.
* Strong communication and collaboration skills.

Why you should join us:

* Our global team is made up of awesome forward thinking, innovative go-getters.
* Learning and growth opportunities within a fast-paced tech startup environment.
* Clear career advancement path for strong performers.
* We are committed to setting each other up for success. As a member of our team, you will work within an environment that encourages growth, initiative taking and continuous mutual feedback in order to reach your full potential.
* And of course, Wolt+ and lots of yummy treats in the kitchen:-) Does this sound like a perfect position for you or a friend? apply here.

As a AI-Data Engineer, youll take a leading role in building the foundation of our companys Agentic Exposure Management platform: the source of truth that tells a security team what they have, whats actually risky and why, how to fix it, and who is responsible.
Enterprises run their security across a sprawl of cloud and on-prem tools. Making sense of that sprawl is the heart of what we do. Were building a complex data fabric that reconciles data from a hundred different sources, applies sophisticated transformation and enrichment, and turns partial, uncertain signal into one trustworthy model of an organizations real exposure.
Key Responsibilities:
Model the security graph. Design an ontology that spans both the modern cloud and the classical on-prem world, abstract enough to absorb 100+ different integrations under one model, yet rich enough to carry everything needed for decision making. Decide whats an entity, whats an edge, and whats a denormalized attribute, across millions of assets and finding rows.
Own asset identity engineering and reconciliation. Upstream identifiers are uncertain and volatile. Engineer deterministic identity resolution for assets and findings arriving from different vendors.
Build LLM-based and agentic pipelines for data classification, entity extraction, and enrichment, optimizing for cost, latency, and precision in production.
Build the integration factory. Stand up a scalable integration platform that drives down time-to-integration.
Build and maintain complex ETL pipelines handling millions of records: incremental sync, complex correlation, and data quality observability and monitoring.

Build the agent runtime and the LLM application layer that powers our company Agents - the ai-gateway that routes across Anthropic, OpenAI, and our own served models, plus tools, MCP, deep-research orchestration, and the App Builder codegen loop. You will turn frontier and owned models into product features people actually depend on.