לוח משרות דרושים AI Engineer בתל אביב יפו

We are seeking a highly autonomous and exceptionally talented AI & Robotics Research & Exploration Specialist. This role is dedicated to AI driven product exploration and rapid prototyping. Conceptualize and build functional MVPs that push the boundaries of our XOS robotics ecosystem. The ideal candidate is a prolific builder and "tinkerer" with deep expertise in software, AI, and computer vision, capable of translating novel concepts into structured, demonstrable prototypes.

We are seeking an experienced, hands-on Senior AI Engineer to join the Generative AI applications Platform group and lead the backend implementation and architecture of AI/LLM solutions - from agent graphs and tooling to RAG, streaming, and production deployment.
As a Senior ML Engineer you will
Design and own agent architectures - Build and evolve graph-based agent workflows (multi-node LLM flows, tool execution, routing, human-in-the-loop review gates) using LangGraph, with clear state schemas, checkpointing, and streaming to production.
Turn product and user needs into backend AI - Work with Engineers, Product, and Analysts to translate business problems into technical requirements and implementations, including agent types, tools, RAG pipelines, and configuration-driven behavior.
Design, develop, and deploy GenAI capabilities end-to-end - LangChain tools and integrations, RAG (retrievers, vector stores, agentic flows), structured outputs, and APIs for chat, Copilot-style integrations, and MCP.
Raise the bar on quality and reliability - Establish patterns for observability (e.g., LangSmith), error handling, content safety, bounded autonomy (tool schemas, review workflows), and evaluation systems so that AI behavior is predictable and auditable.
Mentor and align the team - Provide technical guidance on LLM backend architecture and LangGraph/LangChain best practices so the team can iterate quickly and safely.

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 our WW AGENTIC product manager, to build the worlds first mission-grade Maritime Intelligence Operating System. This is the role every product manager has been dreaming of since the Generative AI revolution began! We are moving beyond SaaS as a Tool to AI as a Teammate..

Your Mission:

You will take us from Chat (Basics) to Reasoning (Research) to Action (Autonomous Monitors). You will own the architecture, turning elite intelligence expertise into digital workflows that scale. Your success wont be measured by Jira tickets, but by the Speed of Learning and the Accuracy of Reasoning of the agents you bring to life.

If youre tired of Slap-on AI and want to build the future of Agentic Workflows from the ground up, this is your opportunity to join us!

What Youll Do

Architect the Agentic OS: Define how agents reason, use tools, and collaborate to solve maritime puzzles.
Codify Elite Expertise into Playbooks: Collaborate with analysts to translate gut instinct and tradecraft into digital playbooks.
Define the UX of the Future: Shift the paradigm from clicking buttons to an interactive AI Teammate.
Own the Accuracy Flywheel: Establish Eval frameworks to obsessively measure and improve Reasoning Accuracy.
Lead a Startup within a Scale-up: Lead the Internal Startup - Operate with 0-to-1 autonomy, leveraging our data moat to deliver Decision Superiority.
Build the Autonomous Monitor Era: Build the Autonomous Monitor- Evolve the product from reactive answers to proactive, 24/7 global monitoring.

As a Senior Developer, youll join our Product Team and play a key role in architecting and developing AI-driven building operating system. Youll work with the team to plan, shape, and build platform components, AI workflows, and new product features. You should feel comfortable collaborating in a product squad and be excited about the new era of AI-native SDLC, using coding agents to move the needle independently while keeping productivity and simplicity in mind.

About you

An ideal candidate is humble and open-minded, while staying skeptical and willing to challenge assumptions. You have strong full-stack engineering skills and experience reasoning about complex systems, evolving architecture, and the importance of collaboration, communication, and product sense. You excel at working independently and as part of a team, and you feel comfortable asking for help when you get stuck.

Responsibilities

Plan, design, and ship agentic workflows that automate operational processes with human oversight built in.
Work cross-functionally with product, design, operations, and business teams to deliver AI features that solve real problems.
Own feature development end-to-end: from ideation and discovery, through spec writing, development, testing, launch, and iteration.
Push the limits of coding agents to increase developer velocity and democratize development for non-coders.

We're looking for a AI Research Scientist to join us in spreading the power of our company and push the boundaries of AI in cybersecurity. You'll be at the forefront of developing novel AI models - focusing transformers and LLMs - that advance how cybersecurity operates. Contribute to the wider AI and cyber communities through publications and conference presentations, establishing our company as a thought leader at the intersection of AI and cybersecurity.
WHAT YOULL DO
Develop and research novel AI models, focusing on transformers and deep learning. Lead mid- to long-term projects aimed at advancing AI-driven features in the cybersecurity domain for our company products.
Conduct experiments and evaluate the performance of AI models, algorithms, and techniques using real-world datasets and simulated environments.
Stay informed about cutting-edge AI methodologies, frameworks, and tools and apply them to improve security solutions accuracy, efficiency, and scalability.
Collaborate with engineering teams to design, build, and maintain production pipelines. Work closely with the Security Research and Product teams to define research goals.
Publish research findings and AI thought leadership content and present at leading conferences such as NeurIPS, ICML, or CVPR.

We are currently seeking an experienced Full-Stack Engineer to join our team.
Role & Responsibilities:
You will be delivering scalable web applications from idea to production , while taking care of all aspects of software development-from technologies and security to scalability and reliability processes.
End-to-End Ownership: You will have full ownership of your features from the architecture level, through design, and finally implementation.
Cloud Infrastructure: Be part of the design, maintenance, monitoring, and troubleshooting of our cloud applications and infrastructure.
Technical Excellence: Drive technical excellence, high product quality, innovation, and timely delivery in an agile, production-critical environment.

we are looking for a AI Team Lead.
As our AI Team Lead, you will sit at the intersection of cutting-edge research and production engineering, guiding a high-performing team of Data Scientists and Engineers. This is a deeply hands-on leadership role where you will drive the end-to-end lifecycle-from initial research and PyTorch training to deploying sophisticated multi-modal AI (Text, Image, Audio, and Video) in high-throughput environments. Join us in building the future of responsible AI adoption and digital integrity.
Responsibilities:
Manage and grow a high-performing team of AI researchers and engineers, fostering technical excellence.
Drive the design and training of multimodal models applications (Text, Image, Audio, Video) using PyTorch.
Own the AI roadmap from initial concept to scalable, high-throughput production.
Partner with Product, Backend, and Security teams to integrate AI solutions globally.
Stay at the forefront of GenAI/LLM research to continuously improve our detection engines.

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.

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.

The Vision
We believe that Software Engineering is the highest-leverage human workflow in the company. In an AI-native world, the bottleneck is no longer how fast we can type, but how quickly we can validate, iterate, and deploy. Engineering excellence is our ultimate competitive advantage. As a Senior Software Engineer for AI Assisted Engineering Support, you will build the "intelligence layer" for our development teams. You aren't just building tools; you are building agents that understand our codebase, our standards, and our intent. Your goal is to move the company toward a "Demo to Prod" reality where AI handles the boilerplate, the testing, and the initial PR generation, leaving humans to focus on architecture and high-level logic.
The Mission: Agentic Engineering
Consistent with our "Human Centric Workflows" philosophy, you will treat LLMs as programmable functions grounded in our specific codebase. You will build the specialized assistants that integrate into our IDEs and CI/CD pipelines to unblock developers, automate reviews, and ensure that "gold-standard" code is the default, not the exception.
What Youll Do:
Build AI Engineering Assistants: Develop and scale the internal agents that assist with code generation, automated refactoring, and documentation.
Enable the "Demo to Prod" Pipeline: Work on the technical implementation of tools that allow for one-shot workflows-moving from a prototype or a spec directly to a production-ready Pull Request.
Deterministic Engineering Evals: Drive quality by prioritizing determinism. You will build the serialization formats and retrieval systems (RAG) that give engineering agents the exact context they need from our repositories to be precise and useful.
Automated Code Stewardship: Create agents that help maintain our "Immune System"-automated drift detection, visual regression testing, and security scanning for AI-assisted contributions.
Systemic Optimization: Implement a culture of rigour. You will run experiments across different models and tools, using engineering-specific benchmarks to ensure our assistants are actually increasing velocity and quality.
Global Collaboration: Partner with the US and Israel-based teams to integrate your assistants into our global developer platform and telemetry frameworks.

We're looking for a senior AI Engineer with a strong backend background and deep experience building agentic AI systems to join our growing team.
Responsibilities:
Own the development of end-to-end AI agents, including both customer-facing agents and deep background agents. This includes designing agent architectures, building and maintaining agent tools, constructing and iterating on prompts, and continuously evaluating, operating, and improving the agent infrastructure in production.
Integrate large language models (LLMs) into production environments to enable autonomous task handling and decision-making.
Collaborate closely with engineering, product, and security teams to turn ambiguous problems and AI research into reliable, production-grade capabilities.

We're looking for a talented Software Engineer with enthusiasm for AI/GenAI to join our innovation-focused team building agentic AI systems autonomous, reasoning-driven software agents capable of orchestrating complex tasks across tools, APIs, and data sources.
You'll design and build scalable backend systems that integrate large language models (LLMs) and other AI technologies into production-grade services. This role blends backend engineering, AI integration, and rapid prototyping, with room to learn, experiment, and deliver impactful, scalable solutions.
Architect and implement distributed services that power AI-driven applications.
Implement multi-step reasoning pipelines, retrieval-augmented generation (RAG), and domain-specific AI capabilities.
Build robust APIs, plugins, and integrations enabling AI agents to interact with external systems and data sources.
Create and refine proof-of-concepts, validating ideas quickly before scaling to production.
Implement monitoring, evaluation, and logging systems to track AI-powered features in production.
Work closely with product managers, designers, data scientists, and AI engineers to deliver user-focused solutions.
Stay curious about emerging AI frameworks, tools, and best practices to improve reasoning, planning, and autonomy in backend services.

As a Senior AI Engineer on the Guardian Agents team, you will develop both our autonomous "digital employees" that execute security programs and the Control Plane that governs them. You will build a platform that allows customers to calibrate agents through conversation, ensuring human feedback is transformed into persistent organizational knowledge. By engineering these closed-loop systems, you enable agents to learn, evolve, and deliver accurate, goal-driven security outcomes at scale.
What Youll Do:
Architect Autonomous Agents: Build goal-driven agents for complex security tasks like false-positive reduction and automated triage.
Build the Control Plane: Develop the infrastructure for Human-in-the-Loop (HITL) feedback, natural language calibration, and stateful memory systems.
Engineer for Growth: Implement evaluation frameworks and "organizational memory" to ensure agents stay accurate and follow historical security precedents.
Bridge AI & Engineering: Collaborate in a "Core Pod" with Security Researchers and Data Scientists to turn raw security signals into scalable, productized agent behaviors.
Scale Data Pipelines: Integrate agents with Big Data foundation to ensure real-time context and tenant-safe execution.

An AI startup is looking for a Software Engineer / Architect for a senior role focused on leading backend architecture and designing complex systems at a critical pre-launch stage.

This position includes broad ownership over infrastructure, scalability, and implementing an AI-first engineering mindset across the product and organization.



Responsibilities:

Lead backend architecture and system design
Design services, APIs, and data flows for an AI product
Build scalable, reliable, production-ready systems
Lead AI-first development best practices
Work closely with the founders on the technical roadmap
Improve engineering processes, performance, and system design
Own product infrastructure in preparation for significant scale