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חברה חסויה
Location: Merkaz
Job Type: Full Time
abra’s Data & AI Division is looking for a AI Consultant to join our team! We are looking for a AI Consultant to design and implement end-to-end AI solutions tailored to our customers' business needs. In this role, you will work directly with clients to identify AI opportunities, build intelligent solutions, and drive AI adoption across organizations. Full-time | Central Israel Key Responsibilities
* Understand customer business processes and identify opportunities to create value with AI.
* Design and implement end-to-end AI solutions.
* Develop AI Agents, Skills, Plugins, and MCP integrations.
* Build automations and integrations between AI platforms and enterprise systems.
* Guide customers through AI implementation and adoption.
* Stay up to date with the latest AI technologies and best practices.
Requirements:
* 2+ years of experience in a similar AI-focused role, such as AI Consultant, AI Engineer, or AI Solutions Engineer.
* Experience building AI Agents, MCP Servers, Plugins, and system integrations.
* Experience working with APIs and automation tools.
* Strong analytical and problem-solving skills.
* Excellent communication skills and experience working directly with customers.
* Passion for learning and adopting new AI technologies.
This position is open to all candidates.
 
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משרה בלעדית
לפני 4 שעות
Location: Work At Home
Job Type: Full Time
I'm Hiring: AI Engineer for a High-Tech Company!

Work Model: Fully Hybrid

Join our AI Enablement team and help drive enterprise-wide AI adoption by building innovative AI solutions that improve productivity and business processes.

Key Responsibilities:

Build AI-driven tools and workflows using Copilot Studio, UiPath, and automation platforms.
Integrate AI agents with Microsoft 365, SharePoint, APIs, and enterprise systems.
Develop intelligent automation solutions to optimize business processes.
Collaborate with cross-functional and cybersecurity teams to deliver secure, compliant AI solutions.
Implement secure authentication and identity integrations (OAuth2, OIDC, SAML, Entra ID).
Continuously improve AI solutions through feedback and innovation.
Requirements:
Required Qualifications

B.Sc. or M.Sc. in Computer Science, AI, Machine Learning, data Science, or a related field.
5+ years of software development experience, including 2+ years in AI/ML.
Experience with Copilot Studio, UiPath, SharePoint, and AI automation tools.
Hands-on experience with Azure AI Foundry, AWS Bedrock, or Google Vertex AI.
Knowledge of RAG, prompt engineering, MCP, multi-agent systems, and AI orchestration.
Strong programming skills in Python, C #,.NET, JAVA, APIs, SQL, and scripting.
Experience with cloud platforms, API integrations, and secure authentication (OAuth2, OIDC, SAML, Entra ID).
Excellent communication, collaboration, and problem-solving skills.

Preferred:
Experience with Generative AI, AI governance, security, and enterprise AI solutions.
This position is open to all candidates.
 
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19/08/2026
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We are a fast-paced, technology-driven team where everyone's contribution impacts product success.

We are looking for a hands-on, business-minded AI Engineer to join our Data & AI Team.

This role is for someone who has already built and shipped real AI products in a company environment. You will work as an integral part of the Data & AI Team, partnering directly with business stakeholders to identify high-impact opportunities, translate business needs into technical solutions, and build AI products that automate internal processes and create immediate value.

The ideal candidate is a builder. You should be comfortable working with LLMs, AI agents, automation workflows, APIs, data pipelines, data warehouses, and internal company systems. You should also be comfortable taking ownership, asking sharp business questions, and moving ideas from concept to production.

Our Data Team has already built internal AI products at our company. Now we are looking for someone who can help take us to the next level.

What Were Looking For
The right person has built with AI in a real company environment and knows how to turn business needs into practical internal products. They should be comfortable working with stakeholders, understanding how teams operate, and identifying where AI can create meaningful value.

Because this role sits inside the Data & AI Team, they also need to be strong with data. That means working confidently with company data, data warehouses, pipelines, APIs, and the technical building blocks that make AI products reliable and useful.

This role is for someone hands-on, curious, and hungry to build. Someone who can combine AI, data, and business context to help our company move faster, automate smarter, and turn ideas into measurable business wins.

What Youll Do
Build end-to-end internal AI products, automations, agents, and workflows that solve real business problems across our company.
Work directly with business stakeholders to understand pain points, define requirements, and turn ideas into scalable AI-driven solutions.
Design, prototype, test, deploy, and maintain production AI products using LLMs, AI agents, APIs, automation frameworks, and internal company data.
Work hands-on with data tools and infrastructure, including Snowflake, ETLs, data pipelines, APIs, AI tools, and internal servers.
Identify high-impact manual processes and turn them into automated AI-driven business wins.
Evaluate new AI tools, frameworks, and agentic workflows, and apply them where they can improve productivity, decision-making, or business operations.
Help shape internal AI development best practices around reliability, usability, security, documentation, maintainability, and production readiness.
דרישות:
2-5 years of hands-on experience in AI Engineering, Data Engineering, Software Engineering, Data Science, Analytics Engineering, or a similar technical role.
Proven experience building and deploying AI-powered products, workflows, agents, automations, or business solutions in a real company environment.
Strong hands-on experience with LLMs, AI agents, prompt engineering, RAG, workflow automation, APIs, or AI development frameworks.
Ability to code and build practical solutions using Python, SQL, JavaScript/TypeScript, or similar languages.
Strong data experience, including ETLs, data pipelines, APIs, databases, data warehouses, and Snowflake.
Experience working in a SaaS or B2B technology company.
Strong business acumen, ownership, and communication skills, with the ability to work independently with stakeholders and drive projects from idea to production.
Degree in Engineering, Computer Science, Mathematics, Statistics, Physics, or a related quantitative field - advantage
Advantages
Experience with agent frameworks, RAG systems, vector databases, orchestration tools, Snowflake, Airflow, Rivery, Gitlab, Claude, OpenAI, or similar tools.
Experience working in a cybersecurity or data company.#ENGLISH המשרה מיועדת לנשים ולגברים כאחד.
 
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חברה חסויה
Location: Holon
Job Type: Full Time
DealHub.AI is building the future of agentic revenue technology. Trusted by leading global businesses, we’re redefining what revenue teams can achieve with AI and agentic execution across the deal lifecycle. Our mission is simple: help businesses Own Your Revenue with greater speed, intelligence, and governance. As an AI Solution Expert , you will serve as the technical trusted advisor for our customers, bridging AI capabilities with their specific business goals and revenue workflows. You will embed deeply with customers. Part consultant, part engineer, part strategic advisor: leading AI sessions, configuring AI-driven workflows using DealHub MCP, training users on best practices, and ensuring measurable business outcomes. You'll collaborate closely with Customer Success, Product, Support, and Engineering teams, and will be the go-to expert for any AI-related technical solution. This is an ideal role for someone who thrives at the intersection of cutting-edge AI technology and real-world business challenges. This role is ideal for someone who thrives on ambiguity, moves fast, and finds equal satisfaction in writing clean code and presenting a solution to a CFO. Key Responsibilities
* Embed deeply with customers to understand their technical environment, business processes, and AI workflows and then design and build solutions that fit.
* Build and deploy AI-powered workflows, MCP-based automations, and intelligent features within the DealHub platform tailored to each customer's use case taking into account the integration landscape such as Salesforce, HubSpot, Dynamics, NetSuite, and billing platforms.
* Leverage LLM, AI, APIs, webhooks, data pipelines, automation scripts.
* Lead technical AI sessions — review requirements, demo solutions, help build agents and perform training.
* Translate complex AI and technical concepts into clear, tangible business value; operate as a trusted advisor, not just an implementer.
* Identify and resolve technical blockers proactively; operate with confidence under ambiguity and incomplete information.
* Build reusable engineering assets: integration libraries, prompt templates, and AI workflow scaffolding that scale across the customer base.
* Act as a direct feedback loop from the field to the Product and Engineering teams surfacing patterns, edge cases, and AI feature opportunities discovered during deployments.
* Monitor post-go-live and drive continuous improvement.
Requirements:
3–4+ years of hands-on experience in implementation roles , such as Solution Expert or Implementation Manager, with at least 1 year of hands-on experience implementing and building MCP-based agents and skills
* Strong understanding of MCP architecture and implementation.
* Hands-on experience building AI agents and skills using tools such as Claude and Copilot
* Experience with low-code/no-code automation platforms such as Zapier, Make, and n8n , as well as the ability to develop custom code-based solutions.
* Prior experience in a technical, customer-facing role in SaaS (e.g., forward deployment, solutions engineering, implementation, or technical consulting)
* Proven, in-depth knowledge of CRM systems (Salesforce / HubSpot / Dynamics), ERP and Billing tools
* Strong analytical and systems-thinking skills; comfortable reasoning about data models, integration architecture, and failure modes.
* Excellent communication skills in English — able to present a technical architecture to an engineer and a business case to a VP on the same day.
* Able to juggle multiple complex customer engagements simultaneously without dropping the ball.
* Fluent in English (written and verbal).
* Degree in a relevant field (Computer Science, Information Technology, Industrial Engineering, Information Systems, or equivalent).
This position is open to all candidates.
 
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23/08/2026
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We are a well-funded, early-stage startup building our Founding Solutions Engineering team to help build and own our enterprise customer motion from the ground up. This role is perfect for a hands-on, technically deep builder who thrives in fast-moving environments, enjoys making things work in the real world, and partners closely with founders, Product, and R&D to deploy and scale complex, AI-driven enterprise solutions.

You will own the technical side of the post-sale customer journey, from deployment and integration through adoption, expansion, and ongoing success, while helping define how our delivery function evolves as we grow.

Your Impact
Customer Onboarding & Process Analysis

Engage with customers post-close to understand workflows, operational processes, and deployment requirements.

Translate findings into clear implementation plans for AI-powered solutions.

Data, AI Models & Workflow Development

Partner with customers to assess data readiness and gather inputs for AI workflows.

Configure and integrate AI components into tailored, AI-driven workflows.

Collaborate with R&D to close data gaps and extend product capabilities when needed.

Deployment & Proof of Value

Own end-to-end solution deployment and ensure models meet performance and business value expectations.

Define success metrics and drive adoption post-launch.

Integration, Security & Rollout

Lead integrations with enterprise systems (e.g., Finance, ERP, email platforms), ensuring scalability and security.

Guide customers through security, compliance, and IT approval processes.

Plan and execute rollout to drive smooth implementation and adoption.
Requirements:
7+ years of experience in Implementation Engineering, Solutions Engineering, Technical Consulting, Professional Services or a similar post-sale customer-facing role.

Experience in the enterprise segment, specifically within the Israeli market, preferably in traditional industries such as financial services, insurance, and banking.

Strong analytical skills with the ability to translate business needs into technical solutions.

Strong understanding of AI concepts and their enterprise applications.

High adoption of modern AI tools and workflows.

Experience supporting deployments across cloud environments and enterprise system integrations.

Excellent communication and stakeholder management skills.

Demonstrated ability to manage solution delivery across the full post-sale customer lifecycle.
This position is open to all candidates.
 
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חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We are looking for a Hands-On Agentic AI Engineer (Information Systems Team) to join a new team focused on applying AI agents and intelligent workflows to improve business processes across the organization.

The ideal candidate is someone who enjoys building real-world AI-driven solutions end-to-end - writing code, designing architectures, building prototypes, solving implementation challenges, and working directly with business stakeholders to turn process opportunities into working AI solutions.



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)
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 and IS teams 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
Requirements:
2-3 years of proven experience with AI solutions
Strong hands-on software development experience, including writing, maintaining, and delivering production-quality code
Strong GenAI development experience with LLMs, SLMs, prompt engineering, context engineering, and agent-based systems
Strong Python skills and a production-focused engineering mindset
Experience designing and building agentic AI workflows, RAG pipelines, LLM-powered applications, copilots, or intelligent automation solutions
Experience bringing AI agents, GenAI applications, or automation solutions into production
Solid understanding of APIs, integrations, databases, cloud environments, monitoring, logging, security, and deployment practices
Ability to work directly with non-technical stakeholders and translate business needs into technical solutions
Experience with AWS AgentCore, n8n, UiPath, Make, Workato, or similar is an advantage
Experience with enterprise AI governance, security, compliance, and privacy requirements is an advantage
Strong builder mindset: proactive, independent, hands-on, business-oriented, and impact-driven
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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07/09/2026
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We are looking for a Senior Software Engineer to join a strong and dynamic AI Engineering team. We are the focal point for AI initiatives in our company, striving to constantly bring innovation and leverage AI capabilities across all company teams and products.


What you will be doing:
Design, build, and maintain reusable AI capabilities - including models, tools, APIs, and platforms that power both internal and customer-facing solutions.
Develop and maintain our internal MCP server that easily and securely exposes Forters vast data stores to AI agents.
Create and implement robust evaluation frameworks and AI guardrails to safeguard Forters value and ensure model reliability.
Establish deep expertise and sustainable AI engineering practices.
Promote AI readiness and track adoption across the company to build lasting impact.
Build and optimize RAG (Retrieval-Augmented Generation) systems.
Take full ownership of projects: from gathering requirements from non-technical internal users to development, deployment, and operation.
Act as a consultant and advocate for AI engineering, helping other teams leverage the platforms and tools you build.
Partner with teams across us to accelerate AI adoption and productization efforts.
Requirements:
5+ years of strong backend and server-side development experience, building complex, highly scalable systems.
Proven experience with at least one general-purpose language (preferably Python, but not a must).
Strong product management skills, with the ability to gather and refine requirements from non-technical internal users.
A strong sense of ownership, with some DevOps experience and a willingness to develop, deploy, and run projects end-to-end.
Solid understanding of GenAI, LLMs and foundation models.
Strong familiarity with AI coding tools like Claude Code, Github Copilot, Cursor, or similar.
Hands-on experience with building AI-driven workflows, agentic frameworks, evals, RAGs, MCPs, skills, etc.
Experience working with public clouds (AWS / GCP / Azure).
Fluent in written and spoken English.
This position is open to all candidates.
 
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חברה חסויה
Location: Kefar Sava
Job Type: Full Time
The Director of AI Enablement is both a builder and a transformation leader, someone who can identify opportunities, design and implement AI solutions, and drive adoption across the organization to create measurable business value.

Reporting directly to the CEO, this is a highly visible, hands-on leadership role at the intersection of business transformation, technology, and organizational change.

The successful candidate will lead AI roadmap, build practical AI solutions, drive adoption across functions, and help transform how work is performed throughout the organization.

What Will You Do?

Define and execute AI roadmap.

Identify, prioritize, and implement high-impact AI opportunities across the business.

Partner with business, operational, engineering, and corporate functions to understand workflows, pain -points and improvements opportunities.

Translate business challenges into practical AI use cases and measurable outcomes.

Design, build, pilot, and scale AI-powered solutions, including AI agents, copilots, automations, knowledge assistants, and business applications.

Partner with IT, Engineering, Infrastructure, and Security teams to ensure scalable, secure, and sustainable solutions.

Lead the transformation, not just the technology; drive AI adoption across departments and help leaders redesign processes and ways of working to maximize AI value.

Work hand-in-hand with HR and business leaders to lead the organizational transformation required to successfully adopt AI, build internal capabilities, and embed new ways of working across the company.

Establish and lead the core pillars of the AI Enablement program: Adoption, Infrastructure, and Solution Development.

Build and lead a community of AI Builders and Leaders across the organization.

Establish AI governance, Responsible AI practices, and security standards.

Measure and communicate business impact through adoption, productivity gains, efficiency improvements, time savings, and ROI.

Success is measured not only by building AI solutions, but by driving meaningful improvements in productivity, efficiency, quality, decision-making, and business performance across the organization.
Requirements:
4+ years of leadership experience in AI, technology, engineering, digital transformation, or automation initiatives, with a proven track record of driving transformation beyond pilot programs.

Proven experience implementing AI solutions in real business environments.

Strong ability to bridge business needs with technical execution.

Hands-on experience building AI agents, workflows, automations, and AI-powered solutions.

Proven track record of taking AI or Generative AI solutions from proof-of-concept to production with measurable business impact.

Strong understanding of Generative AI, LLMs, AI Agents, workflow automation, cloud-based AI technologies, enterprise data environments, and modern AI development frameworks.

Technically credible with IT, Infrastructure, Security, and Engineering teams.

Experience implementing AI governance and Responsible AI practices in regulated or security-sensitive environments.

Strong understanding of data protection, intellectual property management, cybersecurity, and export-control considerations.

Strong cross-functional leadership experience, driving adoption and change across engineering, operations, and business functions.

Strong commercial judgment and the ability to prioritize initiatives based on business impact and ROI.

Fluent in Hebrew and English. Eligible to operate in a defense and export-controlled environment.
This position is open to all candidates.
 
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02/09/2026
חברה חסויה
Location: Holon
Job Type: Full Time
What will you do:
Design, build, and maintain production-grade AI-powered applications and services.
Develop end-to-end full-stack solutions, including backend services, APIs, and modern React-based frontends.
Build scalable, secure, and highly available distributed systems.
Develop AI agents, copilots, autonomous workflows, and intelligent automation.
Build and deploy RAG (Retrieval-Augmented Generation) solutions and integrate LLMs into production.
Design AI orchestration workflows using frameworks such as LangChain, LangGraph, or similar.
Implement AI evaluation, tracing, and observability pipelines using Langfuse or equivalent tools.
Develop MCP (Model Context Protocol) integrations and AI tooling ecosystems.
Build and maintain cloud infrastructure, CI/CD pipelines, and Infrastructure-as-Code.
Drive engineering productivity through AI-assisted development and automation.
Collaborate closely with Product, Design, and Engineering teams to deliver customer value.
Research and evaluate emerging AI technologies and introduce innovative solutions.
Own features end-to-end-from architecture and development to deployment, monitoring, and continuous improvement.
Requirements:
5+ years of experience building scalable, production-grade full-stack applications.
Strong hands-on experience with TypeScript, Node.js, Python, React, and modern full-stack development.
Experience building AI-powered applications using LLMs (OpenAI, Anthropic, Gemini, etc.).
Hands-on experience with AI Agents, RAG, vector databases, prompt engineering, context engineering, and MCP.
Experience with AI frameworks such as LangChain, LangGraph, Langfuse, LlamaIndex, or similar.
Strong understanding of distributed systems, microservices, APIs, and cloud-native architectures.
Experience with AWS, Docker, Kubernetes, CI/CD, and DevOps best practices.
Ability to quickly learn and adopt emerging AI technologies and AI-assisted development tools.
Strong ownership mindset with the ability to independently deliver solutions from concept to production.
Experience building internal AI platforms or AI developer tools (advantage).
Familiarity with AI coding assistants such as Cursor, Claude Code, Windsurf, or GitHub Copilot (advantage).
Experience with multi-agent systems and autonomous workflows (advantage).
Background in SaaS or cybersecurity environments (advantage).
Experience leading technical initiatives or mentoring engineers (advantage).
Knowledge of AI security, model safety, and governance best practices (advantage).
Excellent communication skills, a collaborative mindset, and the ability to thrive in a fast-paced startup environment.
Passion for AI, curiosity, and a strong focus on innovation, execution, and business impact.
This position is open to all candidates.
 
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31/08/2026
חברה חסויה
Location: Tel Aviv-Yafo and Netanya
Job Type: Full Time
We're seeking a hands-on AI Solutions Specialist to lead the development and implementation of enterprise-wide AI applications. In this pivotal role, you'll evaluate and deliver cutting-edge AI solutions to employees and teams across the organization. You'll spearhead AI solution projects from initial concept and gathering requirements through execution and widespread adoption, serving as the central point of contact between business, IT, and data teams. You'll also be at the forefront of the latest AI technologies.

As an AI Solutions Specialist you will
Partner directly with cross-functional and non-R&D teams to understand workflows, pain points, decision-making processes, manual tasks, and operational bottlenecks - diagnosing where GenAI and AI Agents can provide real, measurable value.
Translate ambiguous business problems into clear AI use cases, MVP definitions, solution designs, success metrics, and rollout plans.
Lead the lifecycle of GenAI-driven applications and Agents, transitioning rapidly from initial concept and technical feasibility to full enterprise-grade production rollouts.
Build and configure AI-powered solutions, including agentic workflows, workflow automations, RAG-based tools, decision-support tools, and integrations with internal systems.
Conduct technical audits of emerging AI technologies, leading "Build vs. Buy" analyses to ensure global scalability, security, and measurable value to the organization.
Run training and enablement sessions for both technical and non-technical teams, fostering a culture of AI literacy and ensuring the organization can leverage new tools effectively.
Build and evolve the Enterprise AI technology stack, continuously scouting and integrating next-generation platforms, LLM orchestration tools, and agentic frameworks.
Serve as the primary technical liaison between IS, IT, Legal, and Data teams to ensure AI solutions are securely integrated and compliant with enterprise standards.
Be a product owner of enterprise AI platforms, driving continuous solution adoption, impact measurement, and performance optimization across the organization.
דרישות:
5+ years in a technical role such as software engineering, solutions engineering, automation engineering, AI engineering, business application implementation, or a similar hands-on role, including 1+ years delivering AI, GenAI, agentic, or automation solutions for business or operational users.
A clear builder track record: you have shipped tools, automations, workflows, internal products, or prototypes that people actually used.
Deep, hands-on understanding of the LLM lifecycle, including Prompt Engineering, Retrieval-Augmented Generation (RAG), fine-tuning strategies, AI agents, tool use, human-in-the-loop workflows, evaluations, and responsible AI patterns.
Proven experience in implementing Enterprise GenAI platforms (e.g., Gemini Enterprise, Claude Chat).
Hands-on experience developing agentic workflows on top of agentic framework tools like Google ADK, AgentCore, and low-code platforms (Workato)
Proven experience developing GTM-related projects, mainly around sales and marketing.
Proven knowledge of GTM best practices and technology.
Proven project management skills and a demonstrated product management mindset, including the ability to define MVPs, prioritize, separate nice-to-have ideas from high-value use cases, and measure outcomes.
Strong discovery skills with non-technical stakeholders: you can map how work happens today and redesign it around AI, automation, and human accountability.
Excellent communication skills: able to explain technical tradeoffs to business stakeholders and business context to technical teams, and to run training and enablement sessions.
Strong ownership and execution, with creative, out-of-the-box thinking: comfortable moving from ambiguous problems to working solutions, with a focus on business impact and the ability to run and react fast.
Full-stack Web development experienc המשרה מיועדת לנשים ולגברים כאחד.
 
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הגשת מועמדותהגש מועמדות
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07/09/2026
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We are looking for a Senior Software Engineer to join the AI Engineering team in a role focused on embedding directly with business teams to drive AI transformation. Be at the forefront of Applied AI. This role is outward-facing: you will engage with GTM and G&A functions - Sales, Marketing, Finance, HR, Legal, Customer Success - and fundamentally alter how these teams operate with AI.

What you will be doing:
Embed with GTM and G&A teams (Sales, Marketing, Finance, HR, Legal, Procurement, Customer Success) to identify, scope, and prioritize the highest-impact AI opportunities within each function, and act as both product manager and engineer for these initiatives.
Own the full lifecycle of each solution, from requirements gathering through deployment to adoption measurement and iteration, with a focus on business outcomes.
Serve as the primary technical partner and AI advisor for business function leaders, translating their needs into engineering plans and helping them develop their own AI fluency.
Develop and deliver hands-on AI enablement and training for non-R&D teams, building their ability to use AI tools independently and effectively.
Collaborate with the team to leverage shared infrastructure (MCP servers, RAG systems, evaluation frameworks, guardrails) while feeding back requirements from the field.
Measure and report on AI adoption impact - unlocking new opportunities, process improvements, and capability gains - to build the case for continued investment and to guide prioritization.
Requirements:
Who are you?
7+ years of software engineering experience, with a strong track record of shipping production systems.
Demonstrated experience working directly with non-technical teams to deliver technology-driven transformation.
Exceptional communication skills: you can run a discovery session with a VP of Sales, write a clear project brief, present results to an executive audience, and pair with a junior analyst on prompt engineering, all in the same week.
Strong product instincts and critical thinking. You naturally think in terms of user problems, adoption, and measurable outcomes rather than technical elegance for its own sake.
Comfortable with ambiguity and self-direction. You won't have a detailed backlog handed to you; you'll build it by understanding the business.
Passionate about LLMs, prompt engineering, and AI application patterns (agentic and autonomous workflows, RAG, agents, tool use).
Solid understanding of GenAI, LLMs and foundation models.
Solid familiarity with AI coding tools like Claude Code, Github Copilot, Cursor, or similar.
Hands-on experience building internal/external AI-driven workflows, agentic frameworks, evals, RAGs, MCPs, skills, etc.
Fluent in written and spoken English.

Itd be really cool if you also:
Have led or played a central role in an AI or digital transformation initiative, with measurable results you can speak to.
Have experience in product management, solutions engineering, or technical consulting roles in addition to software engineering.
Are familiar with GTM/G&A tooling ecosystems (CRM, BI platforms, marketing automation) and understand how AI can augment them.
Have experience designing and delivering technical training or enablement programs.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8812932
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