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Required Data Engineer Position
I-Next Data Center, the AI Center is a pioneering data and research hub leading various initiatives to enhance medical diagnosis, prevention and treatment. Our projects encompass diverse areas, including decision-support applications for clinicians, predictive models, image processing, NLP and more.
We are seeking a highly motivated full-time data engineer who is enthusiastic about working with extensive clinical big data sources. The ideal candidate will be dedicated to creating and enhancing data processes to support our dynamic team.
Responsibilities
Conduct data extraction, validation and profiling to maximize the value of data
Design, implement, monitor and maintain data pipelines & ETLs for multiple data sources
Collaborate with researchers, experts and data scientists to comprehend data requirements as well as product design and deliver high-quality outcomes
Manage data development process, including methodology, QA and maintenance.

Required MDClone Engineer 
I-Next Data Center, the AI Center is a pioneering data and research hub leading various initiatives to enhance medical diagnosis, prevention and treatment. Our projects encompass diverse areas, including decision-support applications for clinicians, predictive models, image processing, NLP and more.
We are looking for a highly motivated full-time team member who is eager to work with clinical data. This individual will assist and guide clinicians and researchers in using a clinical data platform. In the future, they will also help improve data processes to enhance the platform further.
Responsibilities
Provide data-related services, support and guide clinicians ensuring their needs are met effectively
Collaborate closely with team members, fostering a cooperative and productive work environment.
Continuously learn and develop new skills independently to stay up to date in the data platform field.
Participate in team discussions and projects to enhance overall team performance and share knowledge.
Proactively identify opportunities for improvement and contribute to data platform development initiatives tailored to the healthcare member's sector.

Join our company's growing Travel Product Strategy & Analysis team as an Analytics engineer focused on driving strategic product decisions through data-driven insights. You'll be at the center of product investment strategy, working directly with Product Managers, Engineering, Design, Leadership and Data Teams to harness data insights and empower teams to optimize our marketplace and user journey on our company Travel.
As a key member of our small, high-impact team, you'll own business understanding for our travel platforms and serve as the analytical backbone. You will focus on execution by delivering insights, building dashboards, track metrics, develop models and analyze results. This role combines deep data fundamentals and thorough analytical rigor with strategic product thinking to influence investment decisions.
What Youll Do:
Work cross-functionally with Product, Engineering, Leadership and Design teams to deeply understand business needs and translate them into data requirements, well-defined metrics, and analytical tools to enable KPI tracking
Design, build, and maintain scalable, reliable data models and infrastructure to support analytics, operations, and product use cases
Champion data quality, documentation, and execution to ensure observability and trust across the organization
Own all data aspects of the flights team line of business
Spearhead AB testing development and implementation to increase deployment trust.
Support ongoing and adhoc analyses to ensure business goals are met and to uncover areas of opportunity.

We are seeking a skilled Backend Engineer to join our team and implement advanced AI solutions in our travel and expense management products. The ideal candidate will have strong backend engineering expertise and enthusiasm for working with cutting-edge AI technologies.
You'll be responsible for designing and implementing backend services that integrate AI capabilities including large language models (LLMs), retrieval-augmented generation (RAG), and conversational interfaces into our consumer-facing products. This is an opportunity to expand your expertise into AI while leveraging your strong engineering foundation.
What Youll Do
Design and develop scalable, high-performance backend services and APIs.
Implement integrations with AI platforms and services.
Work with AI specialists to translate AI capabilities into production-ready features.
Ensure high reliability, performance, and security of AI-powered systems.
Collaborate with product and engineering teams to gather requirements and deliver solutions.

Are you an A to Z video master? Can you take a brief and turn it to a high performing, well crafted ad, youll be proud to share with your friends? we are searching for an Experienced Video Creator to join our talented team in Tel Aviv. In this role, you'll be the driving force behind our video content for our new Traveler AI product, responsible for planning and executing videos for our paid advertising channel, as well as our social organic. Youll work both in-house and in collaboration with external agencies.
What you will do:
Develop and execute innovative & compelling video concepts that perform and learn fast from what doesnt.
Create high-quality videos from end to end, including storyboards, scripting (in collaboration with our creative team), filming, editing, and supporting post-production.
Collaborate with internal teams and external agencies to ensure outstanding video output.
Take ownership of filming and editing tasks, showcasing your technical skills and creativity.
Stay up-to-date with the latest trends and best practices in video production, generative AI, and online marketing.

Were looking for a data-driven SEM specialist to drive user acquisition across our companys travel and expense products. Youll be a key member of the Growth team, contributing to our search-first strategy across Google, Bing, and emerging LLM-based channels to capture high-intent demand, with a focus on scalable structure, smart automation, and full-funnel impact.
What youll do
Search-first growth
Drive end-to-end planning and optimization of SEM campaigns across Google, Bing, Apple and LLM-driven surfaces
Build and maintain scalable keyword and account architecture across multiple products, go-to-market motions (PLG, SLG), and regions
Align SEM execution with business priorities and revenue goals
Localize strategy and messaging while maintaining a coherent global structure
Test new markets, formats, and betas to unlock incremental growth
Automation, testing, and analytics
Run a structured testing roadmap across keywords, audiences,
and landing experiences
Analyze performance across the full funnel and surface clear, actionable insights
Partner with Analytics and Web/CRO teams to improve conversion rates and ROI
AI first approach - using and researching AI tools & features to drive performance and improve day2day efficiency.

At our company, we aren't building a single, generic chatbot. We are building a Composable AI Microservice Architecture, a swarm of hundreds of hyper-specialized AI services, each meticulously "programmed" to solve small, focused tasks with high precision. This fleet powers Ava, our AI support engine, and a suite of cutting-edge generative tools for travel and expense management.
As a Senior AI Ops / MLOps Engineer, you are the architect of the platform that makes this scale possible. You will move beyond traditional MLOps to manage a "factory" of Language Models. Your challenge is one of orchestration and standardization, ensuring that every service in the swarm meets a rigorous bar for quality, reliability, and cost-efficiency.
What You'll Do
Orchestrate the AI Fleet: Build and own the runtime environment for 100+ specialized AI services. Manage model routing, context versioning, and standardized memory/history stores.
High-Density Inference Optimization: Design and implement SageMaker Multi-Model Endpoints (MME) and Inference Components to serve multiple tuned SLMs per GPU, maximizing hardware utilization while minimizing latency.
Deterministic Service Excellence: Treat reliability as a layered engineering problem. Build deterministic "shells" around probabilistic LM outputs, prioritizing data-layer validation and strict serialization.
Automated Evaluation & Observability: Implement "LLM-as-a-judge" patterns and automated benchmarking to detect semantic drift and hallucinations across the fleet before they impact the user.
Standardize the Workflow: Obsess over building reusable patterns and Terraform-based infrastructure that eliminate "snowflake" configurations, allowing us to deploy new specialized AI tasks in minutes.
Agency Strategy: Partner with AI Researchers to find the "Goldilocks zone" for agentic autonomy-balancing the flexibility of LLM tool-use with the precision required for production stability.

We are looking for a passionate Senior Fullstack Android Engineer to join our growth PLG team in TLV, designing and developing core product features and services that power our app used by thousands of travelers on a daily basis using the latest cutting edge AI technologies . You will work closely with a set of talented engineers, product managers, designers to identify customer needs and build innovative solutions to solve them.
This is a very unique role which combines the small team feeling of a startup launching a brand new product, with the perks, opportunity size and impact of an established company.
What Youll Do:
Building out and leading the development of new impactful product features
Ensure the quality of the features you built, follow-up on usage/issues post release
Work closely with product and design team to deliver new features that align with the needs of the business
Provide technical leadership and mentoring to other engineers on the team
Contribute and drive frameworks that lead to significant user experience improvements
Assist the team in understanding and adopting new technologies.

We are looking for a passionate Senior Fullstack IOS Engineer to join our growth PLG team in TLV, designing and developing core product features and services that power our app used by thousands of travelers on a daily basis using the latest cutting edge AI technologies . You will work closely with a set of talented engineers, product managers, designers to identify customer needs and build innovative solutions to solve them.
This is a very unique role which combines the small team feeling of a startup launching a brand new product, with the perks, opportunity size and impact of an established company.
What Youll Do:
Building out and leading the development of new impactful product features
Ensure the quality of the features you built, follow-up on usage/issues post release
Work closely with product and design team to deliver new features that align with the needs of the business
Provide technical leadership and mentoring to other engineers on the team
Contribute and drive frameworks that lead to significant user experience improvements
Assist the team in understanding and adopting new technologies.

We are looking for a highly skilled Senior Machine Learning Engineer to lead our transition from on-demand, third-party LLM APIs to a fully self-hosted, scalable model ecosystem.
Our core product is an advanced, agentic support chatbot capable of complex reasoning, API tool calling, database lookups, and orchestrating specialized Small Language Models (SLMs) for targeted NLP tasks. As we scale, our current deployment infrastructure (AWS SageMaker) is becoming unsustainable. You will be responsible for architecting, deploying, and optimizing an infrastructure capable of supporting 50 to 100 distinct models ranging from 100M to 70B parameters.
What Youll Do:
Inference Optimization: Deploy and manage large-scale models using high-performance inference engines (like vLLM) to ensure low latency and high throughput for our agentic chatbot.
Agentic Workflows: Develop and refine the chatbot's agentic capabilities, ensuring reliable tool-use, routing, and interactions between massive LLMs and specialized SLMs.
Model Fine-Tuning: Design and execute fine-tuning strategies to improve model accuracy on specific domain tasks and tool-calling execution.
Rigorous Evaluation: Build comprehensive offline and online evaluation frameworks to constantly measure model performance and business impact through structured A/B testing.