דרושים » הנדסה » GTM AI Engineer

As an AI Solution Engineer, youll help shape how AI-driven automations are applied across our internal systems. Youll build and operate AI agents and workflows that connect data, tools, and processes, enabling teams across the organization to work more efficiently at scale.

Youll work closely with IT and platform stakeholders, as well as teams across the company, combining AI capabilities with automation tools, APIs, and code to deliver solutions that move from experimentation to reliable, long-term operation.

What will you actually be doing?
Design and develop AI automations, agents, and agentic workflows that automate and augment internal business processes.
Develop and maintain integrations and workflows using tools like n8n, Workato, and other automation or orchestration platforms.
Write JavaScript-based logic (and Python where relevant) to extend low-code/no-code tools, integrate APIs, and orchestrate AI-driven flows.
Build scalable, secure, and reliable automations, including monitoring, logging, and guardrails for AI behavior.
Implement advanced prompting and agent patterns, such as structured outputs, tool/function calling, and RAG.
Optimize workflows using data, telemetry, and feedback to improve reliability, performance, and business impact.
Collaborate closely with the IT team to ensure solutions align with enterprise architecture, security, and compliance standards.

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.

We're looking for an AI and Automation Engineer to join our Automation team and help build the internal tools, AI agents and automation systems that power how we operate.
This role combines hands-on engineering with impactful product development. The work is split between writing code (TypeScript, React, Python) and designing and implementing automation workflows using low-code platforms.
You'll take part in building intuitive internal web applications that teams enjoy using, developing AI-driven solutions that streamline repetitive processes, creating insightful dashboards to support decision-making, and integrating systems that help the business run smoothly and efficiently.
You'll work alongside our Tech Lead and a US-based IT Automation Engineer, contributing across the full spectrum from designing React-based internal tools to building RAG pipelines to orchestrating multi-step business workflows.
What You'll Do
Design and build internal web applications using TypeScript and React that serve teams across the organization.
Create intuitive interfaces that make AI capabilities and automation outputs accessible to non-technical users.
Build and maintain RAG pipelines - including document processing, embedding, vector storage, retrieval, and evaluation.
Work with LLM APIs (Claude API, OpenAI API, AWS Bedrock, Vertex) and implement prompt engineering patterns (tool/function calling, structured outputs, few-shot) with proBuild connectors, APIs, and data flows that keep systems in sync and processes running smoothly.
Work with data from across the business to support decision-making.
Design and maintain automation workflows using low-code/no-code platforms (Workato).
Integrate AI solutions into core business tools - Slack, Jira, Salesforce etc.

Required xEngineer (ai-native software engineer)
makes it possible for anyone to succeed online. since 2006, weve grown to around 5,500 employees in 22 countries, launched over 40 products, and serve over 243 million users and their visitors worldwide. here, we push you to innovate, evolve in non-traditional ways, and collaborate. we operate in small teams that work closely together at a high level.
although were already industry leaders in web creation and business, our work is nowhere near done. our goal is to become the main engine of the internet so we can create a more open web for all.
we're proud to be an equal opportunity employer. the company was built around the idea that everyone has the right to be successful, online. this same vision defines us as an employer: creating a work environment where everyone is welcome, and anyone has the right to succeed.
as an xEngineer, youll combine deep technical expertise with system -level thinking and product ownership, applying ai across the development lifecycle to build impactful systems, make thoughtful architectural decisions, and drive technical excellence from idea to production. in your day-to-day, you will:
design and own end-to-end systems and features that serve millions of users, taking responsibility across stack boundaries - from product flows and User Experience to apis, data models, and production systems
apply ai-powered tools and workflows across planning, design, implementation, testing, debugging, and refactoring
work with modern technologies and platforms (e.g., typescript, React, Node.js, JAVA, cloud, and ci/cd), continuously evolving your toolkit with ai-powered tools
lead architectural thinking by making thoughtful trade-offs around scalability, reliability, security, performance, and maintainability
collaborate closely with product managers, designers, and engineers to shape solutions while ensuring production quality, observability, and long-term system health
at the company, we believe our best work happens together. our work model is fully in person, with 5 days a week from our office. flexibility remains a core value at the company and special requests are handled thoughtfully at the team level.
we are engineering at the company - a team of ai-native xengineers with deep expertise in frontend, backend, or mobile, who use ai support to take ownership over projects end-to-end. we work in a fast-paced, dynamic development environment with autonomous teams that never compromise high quality standards. as ai increasingly generates production code, we dedicate more and more of our time developing the skills we believe are critical for today and tomorrow: system design, architecture, scalability, reliability, and security.

we are looking for a Senior AI Engineer.
Responsibilities:
Identify high-impact opportunities to leverage AI and AI agents to automate and optimize internal workflows.
Design, architect, and implement end-to-end AI-driven solutions - from problem definition to production deployment and adoption.
Integrate AI systems with internal platforms, services, APIs, and third-party tools.
Collaborate with technical and non-technical stakeholders to translate business needs into practical, scalable solutions.
Take full ownership of solutions, including iteration, performance optimization, monitoring, and long-term maintenance.
Evaluate and adopt new AI tools, frameworks, and methodologies with a pragmatic, business-oriented approach.

We are looking for a Senior AI Engineer to join our Cybersecurity team in Tel Aviv. You will design, build, and productionize LLM-powered applications, multi-agent systems, and MLOps infrastructure that power our company's next-generation cybersecurity capabilities. This is a high-impact, hands-on role at the intersection of applied AI, agentic systems, and network securit
What You'll Do
Design and develop LLM-powered security features and internal AI tools, including RAG pipelines, multi-agent workflows, and prompt-engineered systems tailored for cybersecurity use cases
Architect and operate multi-agent systems in production - including agent orchestration, inter-agent communication, task delegation, and failure handling at scale
Build robust agent monitoring and observability pipelines: tracing agent execution, detecting drift or failure, alerting on anomalous behavior, and maintaining agent reliability SLAs
Build and maintain scalable MLOps infrastructure: model serving, evaluation frameworks, experiment tracking, and CI/CD for ML models
Work with internal datasets (network telemetry, security logs, threat intelligence) to fine-tune and adapt foundation models for domain-specific detection and response tasks
Partner with the Cybersecurity, R&D, and infrastructure teams to define AI-driven security features and deliver them end-to-end
Establish best practices for model observability, safety, and responsible AI deployment within the organization
Stay current with the fast-moving LLM/GenAI and agentic AI ecosystem and evaluate emerging frameworks, models, and tools for adoption.

Our mission is to protect every mobile app in the world and the people who use mobile apps in their lives and at work.
We provide mobile brands with the only patented, centralized, data -driven Mobile Cyber Defense Automation platform, delivering rapid no-code, no-SDK mobile app security, anti-fraud, anti-malware, anti-cheat, anti-bot implementations, configuration as code ease, Threat-Events threat-aware UI / UX control, ThreatScope Mobile XDR, and Certified Secure DevSecOps Certification in one integrated system.
With us , mobile Developers, cyber and fraud teams can accelerate delivery, guarantee compliance, and leverage automation to build, TEST, release, and monitor the full range of cyber, anti-fraud, and other defenses needed in mobile apps from inside mobile DevOps and CI/CD pipeline.
Leading financial, healthcare, m-commerce, consumer, and B2B brands use us to upgrade mobile DevSecOps and protect Android & IOS apps, mobile customers, and mobile businesses globally. Today, our customers use their platform to secure over 50,000+ mobile apps with protection of over 1B mobile end users projected.
We are seeking a driven and results-oriented Account Executive to join our team. In this role, you will focus on acquiring new customers, building trusted relationships, and driving revenue growth by understanding prospects mobile business and security objectives and aligning them with our solutions.
The ideal candidate is a proactive communicator with strong interpersonal skills and a solid technical foundation. You excel at managing complex enterprise sales cycles and thrive in a dynamic environment that demands collaboration across teams and effective engagement with stakeholders via phone, email, and in-person interactions.?About the Role
We are building an AI-driven future, and we need an exceptional AI Engineer to join our new AI Department. This is a unique opportunity to work in a startup environment within a growing company, where youll take ownership of AI and ML initiatives, build cutting-edge solutions, and influence the direction of our AI products. The role has strong leadership potential and is suited for individuals who are passionate about solving complex problems and making a real impact.
?What Youll Do

* Research, design, and implement LLM-based products and infrastructure.
* Collaborate with data scientists, data engineers, product teams, and backend engineers to integrate AI solutions into products.
* Take full ownership of AI engineering pipelines from experimentation to production.
* Utilize cloud-based AI deployment strategies, particularly within AWS.
* Develop and maintain high-quality, scalable, and efficient code.

Were looking for a Staff AI Engineer to join our growing AI and engineering group. This is a highly impactful role for someone who wants to shape how AI is embedded across products, platforms, and business operations-from early experimentation to production-scale systems.As a Staff AI Engineer, youll operate end-to-end: identifying opportunities, designing solutions, and delivering real business value using modern AI and LLM-based systems.

What you'll be doing
Design, build, and deploy AI-powered solutions across Supersonics products and internal platforms
Partner closely with product, data, engineering, and business stakeholders to identify and execute high-impact AI use cases
Architect and implement agentic workflows using frameworks such as LangChain, LangGraph, or equivalent
Integrate and operate LLMs via SDKs, including prompt design, structured outputs, tool/function calling, and guardrails
Lead technical decisions around AI evaluation, monitoring, observability, and quality measurement
Own AI initiatives from concept through production, including iteration, scaling, and long-term maintenance
Stay up to date with emerging AI technologies, models, and best practices, and help bring them into production thoughtfully

Required AI Engineering Team Lead
Tel Aviv-Yafo, Gush Dan, Israel
We offer the industrys only platform that fuses customer identity and anti-fraud solutions - customer identity management, identity verification, and fraud prevention.
We sell to industries with large, consumer-facing businesses such as: banking, financial services, insurance, fintech, gaming, ecommerce/retail, telco / media, utilities, etc.
About the Role:
As the AI Team Lead, you will guide a team of highly skilled machine learning engineers in developing and deploying advanced AI/ML solutions that power our identity and security products. Youll combine technical depth with leadership skills to drive innovation, ensure delivery of high-impact projects, and scale our data-driven capabilities across the organization.
This role requires both strategic thinking and hands-on expertise. Youll be responsible for shaping the data science roadmap, mentoring a growing team, and collaborating with product, engineering, and business stakeholders to translate business challenges into practical machine learning solutions.
What youll do:
Leadership & Team Management:
Lead, mentor, and grow a team of machine learning engineers and data scientists.
Foster a culture of technical excellence, collaboration, and continuous learning.
Define team goals, measure progress, and ensure high-quality deliverables.
Strategy & Roadmap:
Own the data science strategy and align it with company objectives.
Identify opportunities for applying machine learning and generative AI across products and internal systems.
Evaluate emerging technologies, tools, and methodologies to keep the team ahead of the curve.
Hands-On Technical Work;
Design, prototype, and implement ML models, including LLM-powered copilots, retrieval systems, and fraud detection pipelines.
Guide the deployment of models into production environments with scalability and reliability in mind.
Ensure best practices for experimentation, evaluation, and monitoring.
Cross-Functional Collaboration:
Work closely with engineering to integrate ML components into production systems.
Partner with product managers to align solutions with customer needs and business priorities.
Collaborate with security and compliance teams to ensure ethical and secure use of data.

looking for an R&D Operations Manager to be the operational backbone of our Product and Engineering organization. You'll own how we plan, build, and ship designing processes, leading strategic projects, driving automations and AI-powered workflows, and ensuring every team is aligned and moving fast. You'll be the connective glue across Product, Engineering, Design, CS, and GTM - the person who creates order from chaos and measurably increases our velocity.

Responsibilities

Lead Strategic Projects & Planning Own quarterly planning cycles, roadmap governance, and the most critical cross-functional initiatives end-to-end. Ensure 100% traceability between business goals and what we build. You don't just facilitate - you drive outcomes.
Increase Product & Dev Velocity Design and enforce processes that make squads ship faster. Identify bottlenecks, streamline workflows, and measure the impact. If it slows us down, you fix it.
Jira Governance & Dev KPIs Full ownership of Jira - boards, workflows, automations, hygiene, and reporting across all squads. Build and maintain dashboards for velocity, cycle time, throughput, and release predictability. You're self-sufficient - no engineering help needed.
Automations & AI-Powered Workflows Automate manual toil across the product org. Operationalize AI tool adoption. Eliminate repetitive work so PMs and engineers focus on high-value output, not process overhead.
Cross-Functional Alignment & Enablement Be the connective tissue between Product, Engineering, Design, Data, CS, GTM (including PMM, Professional Services, and Pricing), and Finance. Own release coordination and CS enablement - zero surprise launches, ever.
Tooling, Analytics & Knowledge Management Own the product tool stack (Jira, PostHog, Notion, AI tools) and the budget for product tools and operations - drive ROI through smart vendor selection and consolidation. Ensure PMs have self-serve access to data. Maintain a centralized knowledge base as the single source of truth.