לוח משרות דרושים הייטק AI משרה מלאה, לחיפוש זה נמצאו 260 משרות

We are looking for a highly skilled AI Engineer to join an advanced R&D environment within the security sector.
Responsibilities:
Develop advanced Python-based systems and integrate a variety of AI models into software solutions.
Implement and deploy AI models in On-Premise environments, including full integration within existing systems.
Work closely with a multidisciplinary team in a dynamic, innovative technological environment.

Join the group that builds the foundation of our companys perception stack. We are looking for a key member to join our Visual GenAI team, dedicated to advancing state-of-the-art research in visual synthesis and Diffusion Models within a high-impact, real-world AV environment.
You will work on cutting-edge AI research in a real-world environment, backed by massive proprietary datasets and large-scale computing infrastructure. Team up with researchers and engineers from various fields to develop GenAI solutions and develop technology with the potential to impact millions of people and save lives
What will your job look like:
Own the full development lifecycle: from training generative models to adapting existing state-of-the-art architecture for concrete, real-world autonomous driving use cases.
Research, evaluate, and improve GenAI and computer vision models with a focus on scalable and clean Python implementation.
Collaborate with cross-functional teams, including AI researchers and perception teams, to integrate synthetic data into real-world AI applications.
Stay up to date with the latest advancements in AI, Generative Models, and Computer Vision.

We're hiring an exceptional Applied AI Scientist to join our team!

In this role, you'll design and deploy enterprise-grade AI agents that drive real business impact across Tipalti's core functions - Sales, Marketing, Customer Success, Customer Support, Risk, and Finance. You'll be building agentic systems that execute complex, multi-step business workflows end-to-end. The ideal candidate is a hands-on builder with deep AI expertise who thrives on turning complex business problems into reliable, production-grade AI systems.


In This Role, You Will Be Responsible For


Enterprise AI Agent Development: Designing, building, and deploying AI agents that automate and augment high-value workflows across business functions - including lead qualification and outreach (Sales & Marketing), churn reduction(Customer Success), and Ticket deflection (Support).
Agentic Architecture & Orchestration: Owning the end-to-end agent stack - from tool use, memory management, and multi-step planning to human-in-the-loop escalation patterns, guardrails, and audit trails suited for an enterprise fintech environment.
Knowledge Systems: Building and maintaining RAG pipelines that ground agents in proprietary knowledge - product documentation, customer data, financial records, and internal playbooks - using vector databases, hybrid search, and re-ranking.
Evaluation & Continuous Improvement: Defining agent evaluation frameworks that measure task completion, accuracy, hallucination rates, latency, and business impact - then iterating on agent behavior based on real usage data and stakeholder feedback.
Cross-Functional Collaboration: Partnering with stakeholders across the company to define agentic use cases, translate business requirements into technical features, and deliver products that create measurable ROI - from data preprocessing through product deployment.

As a member of our fast-paced group, youll have the unique and rewarding opportunity to shape the future. We are looking for people with excellent applied machine learning, NLP experience and solid engineering skills.

This role will have the following responsibilities:
Developing and integrating AI systems (e.g RAG, agents) into deliverable products.
Developing and evaluating domain specific Large Language Models for various tasks and applications.
Understanding product requirements, translating them into modeling tasks and engineering tasks.
Collaborating with Hardware and Software teams across us.
Translating theoretical ideas into tangible innovations.

We're looking for an AI Engineer to build and maintain the layer that connects us to the agentic AI ecosystem: our own infrastructure tooling (including MCP, CLI, skills), integrations across frameworks, orchestration,and data platforms, and the apps and demos that show the developer community what's possible.
It's a hands-on engineering role with real strategic weight, sitting at the intersection of marketing and product. You'll have autonomy, direct exposure to business leadership and strategic partners, and you'll be working at the actual edge of agentic AI - consistently ahead of where the broader community lands.
Responsibilities
Build and maintain our agentic infrastructure: MCP server, CLI, and skills distribution
Build and maintain integrations across the AI stack, including LangChain, LangGraph, LlamaIndex, CrewAI, Snowflake, Databricks, and more
Own our presence inside coding agents (Claude Code, Codex, Copilot, Cursor) - tracking recommendation rates, producing reports, and aligning with product and leadership
Build apps and agents that show the AI community what's possible with us
Publish technical content, from feature release to newsletters and strategic docs.

Required AI Researcher - World Model
Description
Our breakthrough World Model technology combines aerial imagery with real-time ground views to build an accurate, rich representation of the vehicle's environment. As part of our World Modeling team, you will drive the next generation of AI-powered, cloud-defined vehicle technology-tackling ambitious research and turning cutting-edge deep learning into real-world solutions.
Responsibilities:
Research, design, and implement state-of-the-art deep learning models in computer vision (e.g., detection, segmentation, transformers, self-supervised learning).
Translate research into production-ready algorithms, writing clean, efficient, and scalable code in Pytorch.
Explore creative ideas, experiment with novel architectures, and continuously push beyond current SOTA.
Take ownership of your work end-to-end, from concept through prototyping to deployment in production.

Were looking for a AI Solutions Junior Engineer who thrives at the intersection of data, product, and client impact. In this role, youll take full ownership of delivering and evolving AI based data solutions for our customers - blending deep analytical skills with strong communication and product intuition. If youre excited by semantic models, data analysis, and helping clients leverage data to inform business decisions, this role is for you.
What Youll Do:
Work with AI-generated semantic models, editing them and optimizing them to drive actionable insights.
Work directly with customer stakeholders to deeply understand business needs, use cases, and their data environment.
Own the technical solution end-to-end, including model refinement, tuning and verification, ensuring data accuracy and consistency.
Collaborate with R&D, Sales and Product to surface insights, resolve blockers, and influence product enhancements.
Translate business questions into analytical solutions constantly pursuing optimization, efficiency and automation opportunities.
Work with client stakeholders to provide training and enablement support.

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 us 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.

Required Research Scientist - Audiovisual Generation, Model Foundations
The role
Following the success of LTX-2, our widely adopted open-source text-to-audio+video model, we are expanding our efforts to develop cutting-edge audio+video generation models and are hiring Research Scientists to join our LTX-2 Core team.
Weve been at the forefront of innovation in text-to-image and text-to-audio+video generation, with LTX-2 driving our flagship product, LTX Studio, and gaining significant traction in the research and open-source communities, including integrations with platforms like ComfyUI and Diffusers.
This role focuses on pioneering model architecture and pre-training algorithms, shaping the next generation of our foundational generative AI models.
What you will be doing:
Pre-train and fine-tune video, audio, and image generative models to pursue state-of-the-art results.
Publish papers and open source models to benefit the research community and advance the field.
Design and implement machine learning models for text-to-audio and text-to-video generation.
Collaborate with data engineers to curate and preprocess text and video data.
Optimize models for high performance, ensuring efficient training and inference.
Build new controls and capabilities into generative text-to-audio and text-to-video models.
Stay updated with the latest developments in Generative AI, particularly in the fields of image, video, and audio.
Work closely with product teams to integrate AI models into applications and services.
Conduct experiments and prototype new concepts to advance the capabilities of our AI tools.

Required Research Scientist - LTX Model Evaluation
The Role
As a Research Scientist in Model Evaluation, you are the ultimate authority on model quality and utility. You will design the automated judges, reward models, evaluation datasets, and benchmarking ecosystems that determine the future of LTX. Your mission is to provide the "ground truth" for our pre-training and post-training teams. You will blend the rigor of a researcher with the intuition of a product-thinker, developing metrics that capture both the aesthetic soul of a video and the functional precision required for high-stakes professional use.
Key Responsibilities:
Steer Training & Research: Systematically evaluate model checkpoints to provide actionable insights that guide training experiments and architectural decisions.
Design Benchmark Ecosystems: Develop and run rigorous benchmarks for release candidates against competitive models, ensuring LTX-2 remains world-class.
Build Next-Gen Metrics: Develop robust automatic metrics and Reward Models (e.g., for RL, ITS, auto-research agents) that quantify complex attributes like temporal coherence, physical correctness, spatial accuracy, and foley synchronization.
Diagnose & Analyze: Perform deep root-cause analysis on model failures, providing the diagnostic clarity needed for researchers to implement targeted fixes.
Scale Evaluation: Collaborate with platform engineers to deploy evaluation frameworks across large-scale GPU clusters.

We are seeking a researcher to join the LTX Model Applications team, focusing on advancing and extending the capabilities of our LTX-Video models. You will design and explore new use cases, train novel ways to control the generation process, and push the boundaries of generative video technology. Your work will directly influence millions of users through our apps and contribute to the broader research and open-source communities, shaping the next generation of creative tools.
What you will be doing:
Advance and extend the capabilities of our LTX-Video models through new controls, features, and use cases.
Design and implement machine learning models for video, image, and audio generation, as well as multimodal applications.
Conduct experiments, prototype concepts, and validate ideas to expand generative video technology.
Collaborate with engineers, designers, and product managers to translate research into impactful product features.
Regularly open-source code, models, and research insights, contributing to the academic and open-source communities.
Stay at the forefront of generative AI research in video, image, and audio, and bring relevant advances into our products.
Write high-quality, efficient code and maintain best practices in research workflows.
Mentor other researchers and lead collaborative projects.

abra is hiring for our Data & AI Division! We are looking for a Hands-on AI Developer to join our growing team and lead the development and implementation of cutting-edge AI solutions. What you'll do:
* Design, develop, and deploy AI solutions end-to-end
* Build intelligent AI Agents and AI-driven automations
* Develop RAG pipelines, semantic search capabilities, and information extraction processes
* Integrate AI solutions with enterprise systems through APIs and cloud services
* Work with documents, databases, structured and unstructured data sources
* Develop custom AI components using platforms such as Microsoft Foundry, OpenAI Platform, Claude Platform, Amazon Bedrock, Google Vertex AI Agent Builder, and Microsoft Copilot Studio
* Perform testing, debugging, monitoring, and optimization to ensure production-ready solutions