לוח משרות דרושים AI Engineer, לחיפוש זה נמצאו 154 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.

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

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.

We are looking for an AI & Data Consultant to join our growing practice
About the job
In this role, you will work with leading Israeli and global organizations, helping them define and implement AI-driven business and technology strategies. You will combine consulting, innovation, and technology expertise to drive AI adoption, digital transformation, and data-driven decision-making.
What you'll do:
Lead and support AI transformation and digital strategy projects.
Translate business needs and AI opportunities into clear functional and technical requirements, solution concepts, and actionable implementation plans.
Analyze business challenges and identify AI, GenAI, and data-driven opportunities.
Develop AI roadmaps, business cases, and strategic recommendations.
Conduct AI maturity assessments and technology evaluations.
Facilitate workshops and collaborate with business and technology stakeholders.
Stay up to date with emerging AI technologies, trends, and best practices.

What will you do:
Develop and refine machine learning models and generative AI systems to automatically understand and categorize risks in Application Lifecycle Management systems.
Collaborate with product and engineering teams to integrate AI tools seamlessly into existing workflows, enhancing the proactive identification of security risks.
Analyze data from a variety of sources, ensuring that the AI systems adapt to new patterns and insights dynamically.
Participate in the ongoing development of our AI capabilities, pushing the boundaries of automated security risk assessments.
Communicate complex AI concepts and the benefits of proposed solutions to non-technical stakeholders.

We're looking for a Senior AI Engineer to design, build, and ship production-grade LLM agents that reason over workforce and skills data on top of Loomra's semantic layer. You won't just prototype - you'll own agent workflows end to end, from design through evaluation, deployment into the tools employees use daily (Teams, Slack, Copilot), and iteration in front of enterprise customers. You'll work alongside product, data, and platform engineers to turn powerful capabilities into reliable, safe, and fast product experiences.
If you've built agents that actually made it to production - and you care as much about evaluation, guardrails, and reliability as you do about capability - we want to talk to you.
Responsibilities
Design and build multi-agent systems and orchestration - intent routing, planning, tool use, and coordination across specialized agents.
Implement retrieval and RAG pipelines over structured and unstructured workforce data, grounded in our knowledge graph connecting people, jobs, and skills.
Integrate LLMs with tool/function calling and protocols such as MCP to give agents controlled access to HCM systems, business logic, and workflows.
Build evaluation harnesses, guardrails, and safety/bias checks, and work within the governance engine so agents behave reliably, respect customer policies, and produce a full audit trail.
Ship agents in a model-agnostic way across providers (Anthropic, Google, IBM watsonx) and deploy them into Teams, Slack, and Copilot.
Optimize agents for latency, cost, and reliability at enterprise scale.
Take agents from prototype to production - with monitoring, observability, and a fast iteration loop.
Partner closely with product, data, and platform teams to translate customer needs into agent capabilities.