לוח משרות דרושים AI Engineer משרה מלאה

If youre looking to build something big, solve real problems, and grow fast-wed love to meet you.

You will own AI infrastructure and agentic interaction layer on top of our Data Platform.

The data layer is the product.
The AI layer is the multiplier.
The interaction model between them is the future.

Your responsibility is to design and build:

The AI infrastructure that enables safe, scalable, production-grade AI features

The ability to interact with Data Layer through LLMs and agentic workflows

Guardrails, governance, and system boundaries for AI-driven data access

The foundations that allow AI to be powerful without compromising correctness or trust

our company, a software development company specializing in sophisticated e-commerce solutions, is looking for a motivated, talented, and skilled AI Officer. Our clients include leading brands such as McDonald's, Azrieli, Aroma Israel, Shlomo Group, Meshulam, Htzone, NewDeli, and more. This is a unique opportunity to showcase your talent, work with advanced technologies, collaborate with amazing colleagues, and support major customers.
Responsibilities:

* Monitor AI tools usage across the organization on an ongoing basis
* Ensure compliance with internal policies, procedures, and applicable AI regulations
* Review and approve requests for AI tool usage according to defined criteria
* Identify deviations, risks, and compliance gaps, and recommend corrective actions

As the Product Manager for the AI models of core product offering, you will be responsible for defining and driving its product strategy, requirements, roadmap and delivery.

The product focuses on addressing real-world challenges in drug development by leveraging AI foundation models and multi-omic data to map and predict human immune response.

You will be working closely with our team of Data Scientists, Computational Biologists, Deep Learning Researchers and Engineers.

Location: Ramat Gan, Israel (Hybrid model)

What will you do?

Set the long-term vision and strategy for AI models, ensuring alignment with company goals.
Define product requirements and build a clear, prioritized roadmap for model development and delivery.
Lead benchmarking efforts to evaluate model performance against internal baselines and external best-in-class models.
Collaborate with AI research, data science, engineering, and biologists to translate scientific advances into scalable product capabilities.
Oversee the end-to-end lifecycle of AI models, including data strategy, training priorities, evaluation criteria, releases, and post-deployment monitoring.
Identify, validate, and prioritize high-impact use cases where improved model capabilities create meaningful business or scientific value.
Communicate strategy, progress, and key decisions to leadership and cross-functional stakeholders to drive alignment.

We are looking for a driven and experienced leader to manage a growing interdisciplinary team of LLM Agentic AI Researchers, Computational Biologists, and Immunologists. This teams mission is to build a cutting-edge agentic reasoning system powered by Large Language Models (LLMs), capable of generating structured, biologically grounded sequential explanations based on predictions from proprietary foundation model-trained on hundreds of millions of immune cells. The product the team builds is a pillar of AI strategy, with the potential to redefine the way a drugs mode of action is understood.

Location: Ramat Gan, Israel (hybrid model)

What You'll Do:

Set the Vision - Collaborate with product leadership to transform bold ideas into AI capabilities that impact real-world medical decisions.
Build and Lead the Team - Coach, build and inspire a high-caliber team across LLMs, data science, and Immunology. Cultivate a culture of excellence, curiosity, and execution.
Drive Innovation - Lead from the front-design architectures, write prototypes, and guide technical direction. Lead the team in building agents that reason about biological systems at scale.
Ship Transformative Products - Deliver AI products & solutions that move the needle and its partners - from static biological associations to dynamic, explanatory models of causality.
Showcase Leadership - Represent the team in top-tier scientific conferences and publications, communicating groundbreaking research to the world.

We are looking for an experienced AI Automation Expert who will design, build, and maintain advanced AI driven workflows, internal agents, and process automations across the organization. The ideal candidate has hands on experience with automation platforms such as n8n, Zapier or Make, strong technical understanding of modern AI models and APIs, and a proven record of translating business needs into scalable automated solutions.

This position plays a central role in our digital transformation efforts. You will be a partner with operations, support, engineering, and business leadership to streamline processes, reduce manual workload, and accelerate delivery through smart automation.

Responsibilities

AI and Automation Architecture

Design and implement AI powered automations, including conversational agents, workflow orchestrations, and custom business logic.

Build and maintain automations using n8n, Flowgrammers, and similar workflow tools.

Create structured agent architectures using LLMs, vector databases, and contextual memory.

Develop and maintain reusable automation components and templates.

Process Design and Optimization

Map and analyze existing processes together with relevant stakeholders.

Identify opportunities for automation and propose clear technical solutions.

Implement end to end workflows from data ingestion to final output and quality control.

Ensure security, reliability, and compliance in all automated processes.

Systems Integration:

Connect internal systems such as CRM, ERP, customer support tools, databases, and cloud platforms to automation workflows.

Integrate external APIs including OpenAI, Azure OpenAI, Google Cloud, or vendor specific APIs.

Build bridges between systems that were not originally designed to work together.

AI Agent Development:

Design and deploy specialized agents for operations, sales, customer support, and engineering teams.

Implement context awareness, memory persistence, and custom tool calling for agents.

Optimize agent performance, latency, and accuracy.

Monitoring and Maintenance

Create dashboards and alerting for workflow health and performance.

Troubleshoot failures, scalability issues, and data inconsistencies.

Continuously improve existing automations based on usage and feedback.

It starts with you - an AI Engineering Team Lead responsible for leading a team building production-grade agentic systems. This role combines hands-on technical leadership with people management, ownership of architecture, delivery, and quality across agents, MCP tools, agentic workflows, RAG systems, and evaluation.
If you want to grow your skills building AI products for mission-critical AI, join our companys mission - this role is for you.
The Responsibilities
Lead and mentor a team of AI Engineers building agentic systems and MCP tools.
Own technical direction for agent architectures, workflows, and LLM evals.
Review designs and code; ensure production readiness, reliability, and security.
Drive adoption of frameworks such as LangChain, LangGraph, or equivalent.
Set standards for RAG pipelines, vector databases, and retrieval quality.
Partner with product and platform teams on roadmap, scope, and delivery.
Balance hands-on contribution with people management and execution.
Build a culture of strong engineering practices, measurement, and iteration.

It starts with you - a senior AI engineer focused on building production-grade agentic systems: autonomous agents, MCP tools, agentic workflows, and rigorous evaluation.
If you want to grow your skills building AI products for mission-critical AI, join our companys mission - this role is for you.
The Responsibilities
Design and build single- and multi-agent systems with planning, memory, and tool use.
Implement and operate MCP tools and servers with secure schemas and permissions.
Build agentic workflows using LangChain, LangGraph, or equivalent frameworks.
Integrate LLMs via SDKs; manage prompts, structured outputs, and tool calling.
Define and run LLM evals (quality, correctness, latency, cost, regressions).
Add observability and reliability (logging, tracing, retries, state management).
Optimize performance and cost; take systems to production.
Mentor engineers and establish agentic best practices.

Were growing and looking for someone to own our AI infrastructure-the CI/CD pipelines, cloud environments, and AI automations that keep us shipping fast and reliably.
This is a hands-on software engineering role: youll build internal infrastructure and be involved in product development (real features, not just tooling).
Responsibilities
Own and improve our CI/CD and build/test/release workflows
Own our AWS cloud infrastructure with a strong focus on reliability, security, and cost awareness
Build and maintain internal AI automations that boost developer productivity and reduce manual work
Contribute to product development as part of the core engineering team.

Were looking for a hands-on, entrepreneurial Team Lead to take full ownership of Ollys knowledge systems and build one of the most critical pillars of the product.
Responsibilities:
Technical and managerial leadership of the Knowledge team
Designing and building production-grade knowledge systems at scale
Making architectural decisions and tradeoffs
(LLMs vs embeddings vs heuristics, online vs offline computation, cost vs latency)
Driving research, experimentation, and innovation around what knowledge means for AI Agents
Hiring, interviewing, mentoring, and growing the team
Working closely with Agent, Platform, and Product teams

We are seeking a visionary AI Product Manager to orchestrate the convergence of our diverse AI stack into a cohesive, real-time product.

You will not just manage a feature; you will own the fusion of these technologies. From Generative Video models that render lifelike avatars, to Speech AI engines (ASR/TTS) that handle nuanced voice interaction, to the LLM & RAG layers that provide the brain and context-you will lead the strategy that turns these individual components into a unified, low-latency Face-to-Face conversational engine for the enterprise.



The day-to-day

Strategic Collaboration: Partner closely with the Head of AI and Head of Product to align the generative media roadmap with technical constraints.
Orchestrate the Multi-Model Stack: Define the product vision for a complex architecture-integrating Latent Diffusion for visuals, Transformer-based Speech AI, and LLMs-into a seamless real-time loop optimized for minimal Time-to-First-Token (TTFT).
Advance Video Generation Tech: Spearhead the deployment of diffusion-based video synthesis and neural rendering.
Establish Benchmarks: Set standards for temporal consistency, high-fidelity lip-sync, and dynamic avatar behaviors that meet enterprise bitrate standards.
Optimize the Brain (LLM & RAG): Lead the strategy for our cognitive layer, overseeing Vector Database selection and embedding models for RAG pipelines.
Ensure Accuracy: Ground AI responses in enterprise data, strictly minimizing hallucination rates and optimizing context window usage.

We are looking for an AI Specialist to explore and implement practical AI solutions that drive smarter decisions, automate workflows, and unlock new opportunities for our business.
Youll be the person who transforms curiosity into impact - testing tools, integrating technologies, and guiding how AI can bring real value to our teams and operations.

In this role, your responsibilities will Include, but wont be limited to:
AI Exploration & Implementation:

- Identify opportunities where AI can improve processes and decision-making.
- Explore, test, and integrate AI tools and technologies into workflows.
- Create proof-of-concepts and small-scale pilots to demonstrate value quickly.

Data & Insights:

- Work with large datasets to uncover patterns, trends, and actionable insights.
- Translate business needs into simple, clear AI solutions that solve real problems.
- Document processes and learnings so teams can build on your work.

Optimization & Support:

- Monitor and maintain AI tools and workflows to ensure they consistently deliver results.
- Troubleshoot issues and refine solutions to improve efficiency and accuracy.
- Stay up to date with emerging AI trends and bring new ideas to the team.

We are looking for a talented AI Applied Researcher to help us develop advanced AI solutions that will empower impactful projects. The Data Science team leads the AI research and innovation efforts of the company, and is focused on pushing AI boundaries to enhance the product and optimize processes.

What Youll Do

Lead an applied research for AI-driven features in the platform
Research and optimization agentic flows to solve complex problems
Collaborate with engineering teams to design, build, and maintain production pipelines
Conduct experiments and evaluate the performance of AI models, algorithms, and techniques
Stay up to date with the latest developments in AI, machine learning, and related fields, focusing on LLMs, exploring how emerging technologies can be applied to improve products and services.

Required Software Engineer - Al Platform
What this role is really about:
You're building our AI platform. The internal system that powers AI capabilities across Product, Customer Success, Sales, Operations, Data, and IT.
This is a full-stack role where you'll own features end-to-end: design React interfaces for AI workflows, build Lambda functions that orchestrate multi-agent processes, integrate with enterprise systems (Salesforce, Workato, Snowflake), and optimize costs and performance at scale. You'll work with cutting-edge AI while building production-grade systems that handle real business operations.
If you want to build something that directly enables business growth, work across the full stack with modern tech, and have ownership over a platform that the entire company depends on, this is your opportunity.
Job responsibilities:
Build core AI platform services - Design and implement agent orchestration, prompt management, RAG, Connectors, and evaluation pipelines that power AI experiences across the company.
Develop complex agentic process - Develop a multi-step workflow that coordinates tools and services with proper observability, guardrails, and cost controls (using OpenAI Agent SDK, LangGraph, or a similar framework).
Build LLM evaluation and optimization process -Develop evaluation harnesses, offline/online experiments, prompt-testing frameworks, and dashboards to balance quality, latency, and spend across all AI services.

Were hiring an AI Engineer to join a newly formed AI Engineering group dedicated exclusively to RIVO, our flagship SaaS platform transforming global trade finance.
This is a high-impact role in a lean team with a clear mission: deliver AI-powered product capabilities end-to-end, from idea and prototype to production rollout, monitoring, and iteration. Were not experimenting with AI; were building real product features and laying the AI foundation that will power RIVO for years to come.
If youre a backend engineer who has built AI/LLM solutions in production and wants to shape the AI ecosystem inside a global SaaS product - this role is for you.
Location: Kfar Saba, Israel
Reporting to: AI Team Lead
Roles and Responsibilities:
Own AI features end-to-end: translate product problems into AI solutions, prototype quickly, productionize, and continuously improve based on real usage and metrics.
Build and maintain production-grade AI services using Python and/or Node.js, integrated into RIVOs backend architecture.
Develop the AI foundation for RIVO: shared building blocks, standards, templates, APIs, evaluation tooling, guardrails, and observability.
Design and implement prompting strategies, function/tool calling flows, and structured output patterns to achieve reliable results.
Build and optimize RAG pipelines (retrieval, ranking, chunking, context construction) and integrate with vector databases and hybrid retrieval techniques.
Implement evaluation and monitoring: offline testing, automated regression suites, online metrics, cost monitoring, and quality dashboards.
Work closely with Product, Engineering, and Domain Experts to ensure solutions are scalable, secure, and aligned with business value.
Research and adopt the best-fit models and approaches (OpenAI/Anthropic/open-source), including routing, fallback strategies, and cost/performance optimization.
Write clean, scalable, well-tested, and well-documented code.