לוח משרות דרושים מהנדסים משרה מלאה, לחיפוש זה נמצאו 3,672 משרות

We're building AI to tackle one of the hardest operational challenges in business: getting workforce management right across many markets, each with its own tax rules, labor laws, payment rails, and constantly shifting policies.
In this role on our AI team, you'll build and scale core AI systems that power products. You'll work across agentic document intelligence, autonomous agents, compliance AI, and ML-powered insights, prototyping quickly, building robust evaluations, and shipping production-grade AI with real business impact.
What You'll Do:
Build and ship AI/ML solutions using LLMs, agents, RAG, and document understanding models, alongside classic ML
Prototype quickly, validate feasibility, and turn strong POCs into production systems
Evaluate models and architectures, apply testing and guardrails to improve agent and service reliability
Research and apply emerging techniques: multimodal/document AI, agentic frameworks, synthetic data generation, and new architectural approaches
Work cross-functionally with product, R&D, and compliance teams to deliver end-to-end solutions
Contribute to scalable, secure architecture and engineering best practices for AI delivery

We are seeking a Product Manager with deep expertise in the payments industry. You will integrate AI to address challenges in process automation, streamline billing and invoicing processes, and develop flexible pricing models. Your goal will be to enhance the efficiency, accuracy, and scalability of our financial processes, ensuring they meet customer needs and support business growth. You will collaborate closely with stakeholders from legal, finance, compliance, sales, and finance operations to ensure alignment and success.

we are looking for a Mobile SDK Engineer.
The Core SDK team operates across Android and iOS platforms, with a long-term vision of a unified mobile SDK engineering team. Engineers collaborate across platform boundaries while maintaining deep expertise in their primary mobile ecosystem.
Operating at the intersection of mobile platforms and large-scale distributed systems, the team tackles complex challenges such as performance optimization, platform compatibility across thousands of devices, and maintaining highly reliable code that runs on billions of devices.
As the team evolves, we are also expanding beyond traditional mobile development and scaling engineering capabilities with AI. This includes building and using AI-powered tooling, MCP-based systems, and agent-driven automation to improve developer productivity, testing, and SDK innovation.
Engineers in the team therefore have the opportunity to work not only on mobile platform challenges, but also on emerging areas where mobile infrastructure, AI systems, and developer platforms intersect.
What youll do
Develop and maintain mobile SDK features used by developers worldwide
Design and implement reliable and performant SDK components across multiple mobile platforms and operating system versions
Take ownership of end-to-end quality, including design, implementation, testing, and production reliability
Debug and resolve complex issues across different devices, OS versions, and runtime environments
Improve SDK performance, stability, and reliability at scale
Develop and maintain SDK wrappers and integrations for cross-platform frameworks such as Unity, React Native, Flutter, and other mobile environments
Work with modern AI-driven engineering tools, automation systems, and internal developer platforms
Collaborate with engineers across mobile, backend, frontend, and platform teams
Participate in code reviews and contribute to engineering best practices

We are looking for talented, motivated graduates to join our intensive training program. Program Highlights: Duration: 3-month intensive bootcamp. Cost: 100% Free. Location: abras offices in Ra'anana The Big Opportunity: Top graduates will be offered a full-time position at a leading defense company immediately upon completion!

We are looking for an R&D Group Lead to take ownership of the SaasLab group - leading multiple engineering teams responsible for the core platform services that every product depends on. You will drive the technical vision and execution or architectural transformation while ensuring the reliability and scalability of SaaS foundation.
The position requires a strong architectural mindset, experience leading platform and infrastructure-level work, and the ability to balance long-term technical strategy with continuous delivery of business value.
What youll do
Lead and mentor a group of engineers and team leads across multiple domains (core entities, access & API gateway, billing & integrations), fostering growth in design, architecture, and people leadership
Own the SaaS platform end to end - ensuring high availability, security, and operational excellence of the systems that underpin every product
Drive and execute an architectural transformation: decoupling from legacy data stores, building a resilient domain model, and adopting modern patterns like GraphQL Federation
Work closely with product managers and cross-functional stakeholders, taking accountability for group deliveries and ensuring teams ship on time with excellent quality
Lead technical initiatives, processes, methodologies, and architectural decisions across the group
Drive AI Products development, SDLC and process improvements via cutting edge tools and methodologies
Be a meaningful and major member of AFOS leadership team and influence the units engineering vision, processes, and culture

We are seeking a Senior AI Engineer to join our core product organization, where you will design, build, and scale next-generation AI systems powering real-world cybersecurity use cases across our diverse product portfolio (Posture, Detection, and CTI). This role focuses on developing production-grade systems leveraging LLMs, advanced machine learning, and agent-based architectures.
You will join a team within our Cyber R&D organization-leading the companys core product portfolio- while driving AI innovation and establishing engineering best practices across the domain. The team focuses on building and optimizing large-scale AI systems, including LLM-based solutions and advanced multi-agent workflows, working closely with data scientists and researchers to bring ideas into production.
Responsibilities
Design, build, and own end-to-end AI solutions- from data collection and preprocessing to model training, evaluation, and production deployment.
Optimize systems for performance, scalability, and reliability in production environments.
Collaborate closely with product, design, and engineering teams to identify and deliver AI-driven capabilities that address real customer needs.
Stay up to date with emerging AI/ML technologies, frameworks, and best practices, and apply them where they create real impact.
Work across the stack, contributing to backend systems and data pipelines that support large-scale AI applications.
Troubleshoot and resolve complex system issues, including performance bottlenecks, race conditions, and memory-related challenges.
Approach problems with a strong analytical mindset, delivering robust solutions while contributing to a high-performing, collaborative team environment.

Required Senior AI Platform Engineer - Sovereign AI Engineering
The Dream Job
It starts with you - an engineer driven to build the agentic AI platform that turns LLMs into reliable, production-grade capabilities. You care about clean APIs, well-defined service boundaries, and systems that teams can build on with confidence. We are AI-first across the board - every team builds and operates agents. You'll architect and ship the platform that makes this possible: agent orchestration frameworks, LLM gateways, evaluation pipelines, tool-calling infrastructure, and retrieval systems. Without this platform, agents don't ship - you own the layer that turns AI research into Sovereign AI products, deployed across cloud and on-prem environments.
If you want to make a meaningful impact, join our mission and build the agentic AI platform that drives Sovereign AI products - this role is for you.
Responsibilities
Design and build agentic systems - single and multi-agent workflows with planning, memory, context engineering, and tool use - for both internal automation and product-facing autonomous capabilities operating over long time horizons.
Build and operate the AI platform layer - LLM gateways, prompt management, structured output handling, tool-calling infrastructure, and cost/latency optimization - deployed on Kubernetes, consumed by every team for their agentic work.
Own the agent framework layer - orchestration primitives, execution environments, state management, and sandboxed tool execution - giving every team the building blocks to create and operate their own agents.
Build evaluation infrastructure that gives teams confidence in agent behavior - automated LLM and agent evals for quality, correctness, safety, latency, cost, and regressions, including human-in-the-loop oversight for mission-critical workflows.
Productionize and harden backend services (APIs, gRPC, async workers) that integrate LLMs - with proper error handling, retries, circuit breakers, and high-availability patterns.
Own RAG pipelines and retrieval systems - indexing, chunking, embedding, vector database management, filtering, and relevance tuning for production retrieval.
Optimize performance and cost across the AI stack - model routing, caching, batching, and inference cost management.
Ship shared tooling - libraries, SDKs, agent templates, and documentation - while working closely with ML Platform, Data Platform, DevOps, and other teams across the Applied AI Engineering group. Own architecture, documentation, and operations end-to-end.

we are looking for a SW Team Leader.
As the team leader, you will manage a multidisciplinary engineering team and help shape the future of audience building and activation. You will work closely with product, architecture, data, and other engineering teams to deliver scalable, reliable, and user-centric solutions. This role requires a strong engineering leader who is passionate about building excellent teams, solving complex data and backend challenges, and driving execution in a fast-moving environment.
What Youll Do
Lead and grow a high-performing engineering team responsible for end-to-end ownership of audience-related products and capabilities
Drive the design and delivery of scalable backend systems and data flows that power audience creation, enrichment, segmentation, and activation
Partner closely with Product, Design, Architecture, and cross-functional engineering teams to define and execute the team roadmap
Translate product and business goals into clear technical plans and ensure predictable, iterative delivery
Stay hands-on and involved in architecture discussions, design reviews, and code reviews
Foster a strong engineering culture of ownership, collaboration, quality, and continuous improvement
Mentor and develop engineers, supporting their professional growth and helping them reach their full potential
Recruit top talent and build a healthy, balanced, and effective team
Ensure high production standards, operational excellence, and system reliability
Promote curiosity and technical excellence by evaluating new tools, technologies, and approaches where relevant
Take an active role in shaping the broader engineering direction of the Collab Unit together with fellow team leaders

Create and modify CAD models for parts/assemblies supporting design iteration. Run structural simulations (static, dynamic, vibration, fatigue, nonlinear). Drive simulation-based improvements in weight, cost, reliability. Collaborate with mechanical, thermal, electrical and system engineers. Build and validate high-fidelity models (materials, contacts, boundary conditions). Correlate simulation with TEST data and refine models/designs. Support product development from concept through prototyping, DVT/PVT and production. Apply DFM/DFA. Produce drawings, GD T and release documentation.

Develop and execute TEST plans for battery cells, modules, and packs (performance, lifecycle, safety, environmental). Support prototype builds and validation. Operate TEST equipment (cyclers, thermal chambers, power supplies, load banks, DAQ). Analyze data for capacity, efficiency, degradation, thermal behavior, and failures. Define procedures, acceptance criteria, and reports per requirements and standards. Perform abuse and safety testing. Investigate anomalies and root cause issues. Collaborate with engineering teams to correlate results with design. Maintain documentation, lab records, and calibration status.