דרושים » הנדסה » AI Specialist

Were looking for a sharp, creative, and impact-driven GTM AI Developer to join us on a mission to transform how we scale revenue using AI.
If you're a fast learner, deeply familiar with AI tools and automation platforms, and excited by the opportunity to drive sales growth, streamline business operations, and eliminate manual work, this role is for you. Youll create AI-powered solutions across our GTM and Revenue teams (Sales, Marketing, Customer Success, Support) and play a central role in shaping how we work and win.
Responsibilities:
Design and deliver end-to-end AI-driven workflows that increase sales efficiency, automate recurring tasks, and elevate customer management.
Leverage AI Tools and platforms like n8n, LLMs, LangChain, Python and more to ship intelligent, scalable automations.
Design, build, and work with MCPs across multiple systems, including developing custom MCPs to securely connect AI agents with internal and external data sources and business systems
Own, maintain, and continuously improve existing AI agents (e.g., SDR agents, enrichment agents), optimizing their performance, accuracy, and business impact over time
Independently drive projects from discovery through execution, including designing, building, and deploying
Partner with business stakeholders across Sales, Marketing, RevOps, Customer success and support to deeply understand operational pain points and business needs and opportunities, and craft practical AI solutions.
Drive AI adoption, including onboarding teams to new AI tools, iterating based on feedback, and continuously improving usage and outcomes
Collaborate with peers from the business applications and data teams to provide impactful, data-driven operational solutions
Explore and test new AI capabilities and translate them into valuable use cases for the business.

we are looking for a AI Engineer.
As an AI Engineer, you will be a key player in building our new AI platform, AI Studio. This platform aims to provide users with instant answers to complex market research questions, generate world-class reports, and create live, interactive, and powerful dashboards. Our goal is to reduce the complexity and time-to-insight for our users, helping them streamline their market tasks and achieve automation that drives real value.
So, what will you be doing all day?
Design and develop LLM-based intelligent agents that can handle complex market research queries.
Utilize LangGraph and other frameworks to create state of the art AI agents that integrate various tools and data sources.
Implement integrations that allow agents to take automated actions on behalf of users, streamlining workflows and reducing overhead.
Collaborate with product, data, and UX teams to ensure that AI solutions are aligned with user needs and business goals.
Continuously evaluate and improve the performance of AI models to ensure high-quality and data-driven results.

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 are growing and we want you to join us! Have you ever wanted to work with an industry leader? Well, how about an industry creator?! were not just the leader in digital adoption, we started the digital adoption revolution - enabling organizations to measure, drive, and act to ultimately maximize the impact of their digital transformation and accelerate the return on their software investment. And with over 2,000 clients, including more than a third of Fortune 500 companies, working with us on a daily basis, were changing how enterprises interact with their technology.
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.
**Engagement will initially be via an employment agency for the first few months, with the possibility of transitioning to direct company employment at a later stage

Were looking for a visionary, technically grounded, hands-on practitioner to help us explore, shape, and represent the future of AI agent trust. You will develop a deep understanding of how autonomous and agentic systems are built and used in the real world, and help internal teams and the broader ecosystem reason about how agents can be trusted, governed, and safely deployed.

You will report to the CPO, work closely with the CTO, and partner across product, engineering, research and data teams. This role sits at the intersection of emerging agent technologies, product strategy, hands-on technical exploration, and external thought leadership.

What Youll Do:

Research & Ecosystem Insight

Stay current on agentic systems and autonomous architectures, with a focus on how agentic interactions are enabled across the open web.
Analyze how AI agents are designed, deployed, and integrated across industries and use cases.
Track trends, standards, and shifts in agent architectures, behaviors, and interaction patterns.
Develop models and approaches to profile, classify, and assess agentic interactions.
Technical Exploration & Prototyping

Build lightweight prototypes or proofs-of-concept to validate ideas and assumptions.
Evaluate third-party frameworks, tools, and integration approaches.
Translate emerging concepts into clear technical direction, architectures, or requirements.
Product Enablement

Advise product teams as they explore and productize agent-trust solutions.
Help reason about agent behavior, system boundaries, reliability, and safe operation.
Act as a bridge between research, product, engineering, and data.
Thought Leadership

Represent the company on topics related to AI agents, autonomy, and trust.
Contribute to blogs, whitepapers, talks, or industry discussions that shape how the market thinks about agentic systems.
Engage with partners, customers, and the broader ecosystem to share insights and learn from real-world feedback.
Help position the company as a credible, forward-looking voice in AI-agent trust.
Communication & Collaboration

Communicate complex ideas clearly through documentation, presentations, and discussions.
Build shared language and understanding around agentic systems across the organization.
Collaborate effectively in a fast-moving, cross-functional environment.

we are a fast-growing AI powered mobile games publishing company by Unity. We work with game studios worldwide to help them build, scale, and operate successful mobile games using cutting-edge technology.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

we are looking for an experienced, skilled, and innovative Head of Business & AI Applications to lead our team of BA managers. As our head of BAA, you will be the owner of our companys multitude of business applications and processes, working with all our business units, including Sales, Marketing, CS, Support and Finance. You will also be working with the Product and R&D departments as our business applications are strongly coupled with our product.
You will drive innovation, efficiency, and new value by exploring and initiating new software solutions (build & buy) and leveraging AI tools and capabilities to build and scale.
This is a unique opportunity to join a fast-growing SaaS B2B company in a key position and make a significant impact on all our business flows.
Responsibilities:
Own all aspects of business applications (exploration, initiation, setup, enablement, support) across all of our companys business units.
Set the vision and roadmap for our companys operational workflows' future landscape
Lead, mentor, and scale our companys team of proficient business application managers.
Partner with senior business stakeholders (from TLs to VPs and C-level) as well as operational teams, understanding their needs and translating them into scalable system solutions.
Drive integration of a variety of tools and systems, using various tools such as Workato and N8N, ensuring data flows and customer journeys are seamless and measurable
Work closely with the Finance department, integrating the sales and financial processes and systems (e.g., CPQ, NetSuite, Billing systems)
Drive AI adoption across the company by both building & buying AI solutions, promoting AI workflows, and enabling teams to use them effectively.
Some of the main systems in use today:
Salesforce, Hubspot, Zendesk, Gong, Chilipiper, ZoomInfo.

Shape the Future of Cybersecurity with Us Are you driven by deep curiosity, bold innovation, and the desire to transform cutting-edge AI research into real-world cybersecurity impact? Join Cynet, an established yet rapidly growing cybersecurity startup, where you’ll help build next-generation AI-powered security products from the ground up. You’ll be part of a small, elite, cross-disciplinary team working closely with security researchers, R&D engineers, data engineers, and product leaders.
Here, you’re not just joining a company, you’re stepping into a place where you can envision, build, and deploy foundational AI technologies that protect organizations worldwide. You will have the rare opportunity to drive innovation end-to-end, shape our future technology, and create AI systems that make a real difference in defending against modern cyber threats.
This is a role for someone who wants to put their soul into their craft, someone hungry to learn fast, experiment boldly, and turn ambitious ideas into production-ready AI solutions.

What will you do:

* Drive innovation by combining deep security research with modern AI techniques to build impactful, customer-facing security capabilities.
* Build and refine intelligent generative AI agents that drive automated cybersecurity reasoning, investigation workflows, and threat analysis.
* Extend and enhance our next-generation AI antivirus engine by designing new feature representations, building file parsers, and developing ML models end-to-end.
* Engineer and implement core parser and model components in C++ and Python to seamlessly integrate into the Cynet Endpoint Agent and platform infrastructure.
* Use Cynet’s ML experimentation pipelines to run experiments, optimize performance, and deliver production-ready detection models.
* Serve as the cybersecurity expert within the Data Science team, guiding threat modeling, malware understanding, and security-driven AI design decisions.

About Us:
Cynet is a leader in threat detection and response, designed to simplify security for organizations of all sizes. Our mission is to empower lean security teams and their partners with an AI-powered, unified platform that autonomously detects, protects, and responds to threats - backed by 24×7 security experts. With a Partner First mindset , we focus on helping customers and partners stay protected, operate confidently, and achieve their goals. Our vision is to give every organization true cybersecurity peace of mind, providing fast, accurate protection without the noise or complexity.

As an AI Engineer at our company, you will be a key player in building our new AI platform, AI Studio. This platform aims to provide users with instant answers to complex market research questions, generate world-class reports, and create live, interactive, and powerful dashboards. Our goal is to reduce the complexity and time-to-insight for our users, helping them streamline their market tasks and achieve automation that drives real value.
So, what will you be doing all day?
Design and develop LLM-based intelligent agents that can handle complex market research queries.
Utilize LangGraph and other frameworks to create state of the art AI agents that integrate various tools and data sources.
Implement integrations that allow agents to take automated actions on behalf of users, streamlining workflows and reducing overhead.
Collaborate with product, data, and UX teams to ensure that AI solutions are aligned with user needs and business goals.
Continuously evaluate and improve the performance of AI models to ensure high-quality and data-driven results.

As a member of the company Cloud team, you inspire leading companies, schools, and government agencies to work smarter with our companytools like our company Workspace, Search, and Chrome. You advocate for the innovative power of our products to make organizations more productive, collaborative, and mobile. Your guiding light is doing whats right for the customer, you will meet customers exactly where they are at and provide them the best solutions for innovation. Using your passion for our company products, you help spread the magic of our company to organizations around the world.
As an AI Sales Specialist Specialist, you will be responsible for growing our AI business by building and expanding relationships with new and existing customers. You will develop relationships with external customer stakeholders, identifying innovative ways to multiply the impact of the team. You will partner with the internal company Cloud Platform (GCP) sales teams to grow their AI businesses and drive overall value for GCP.
our company Cloud accelerates every organizations ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage our companys cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to our company Cloud as their trusted partner to enable growth and solve their most critical business problems.
Responsibilities
Calibrate the business against the objectives and key results. Forecast and report the state of the business for the territory.
Build and maintain executive relationships with customers as the AI Subject Matter Expert, influence long-term strategic direction for the new and existing customers as well as the company Cloud Field Sales Representatives (FSRs) and Customer Engineers (CEs).
Assist customers in identifying AI use cases suitable for our company Cloud AI products and solutions. Articulate key solution differentiators and the measurable business impact.
Develop and execute strategic account plans, including a broader enterprise plan across key verticals.
Work with our company Account and Technical teams to develop and drive pipelines, and provide expertise. Execute Go-To-Market (GTM) business plays and related efforts with the cloud teams and GCP partners.