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We are looking for an experienced Software Engineer (4+ years) to join the team as an AI Integration Engineer, supporting one of our enterprise clients as part of their AI-Native Development program.
In this role, you will act as an AI Champion and Technical Mentor within the clients R&D organization. Your mission is to help development teams effectively integrate AI tools, agentic coding workflows, and best practices into their daily software development lifecycle (SDLC). You will help guide teams through AI adoption, help overcome resistance, and ensure AI delivers real value.
This is not a feature-delivery or coding-focused role, especially in the early stages, the position is centered on enablement, training, and integration, working closely with teams to embed AI development tools into real workflows and support the organizations AI transformation.
This is a high-impact role focused on technical enablement, AI expertise, and effective collaboration with development teams, and intended for experienced engineers who actively use AI in their day-to-day development work and are looking to influence how teams work, rather than for junior profiles or engineers seeking a purely coding-focused position
What Youll Do:
Help drive adoption and optimization of Claude Code and/or similar Agentic coding tools
Support software and QA engineers, answer technical questions and help unblock teams
Stay on the cutting edge of AI releases and best practices, turn your learnings into shareable assets (custom rules, agents, skills, demos, playbooks, etc.)
Measure impact, identify gaps and improvement opportunities across the SDLC
Help defuse resistance to change with patience and empathy
Partner with DevOps, architects and management to track and optimize AI utilization.

Were expanding a fast-growing practice that helps engineering teams leverage AI in their SW development lifecycle and transform into AI-native teams. Weve served dozens of satisfied customers in Israel and abroad and are now hiring a hands-on engineer to lead and drive R&D AI transformation programs, AI tooling adoption & tracking, create resources and run training at scale.
Key Responsibilities:
Own the AI R&D transformation and Agentic SDLC agenda across multiple clients: assessments, KPIs, rollout plans, training, champions programs, skills/agent developments, etc.
Lead AI Coding Tooling optimization end-to-end, plus evaluate/compare adjacent tools (e.g. Claude Code, Cursor, GitHub Copilot, Kiro, etc).
Create training materials (slides, exercises, demos) and deliver workshops; Train teams yourself and mentor trainer bench.
Develop AI infra & tooling, dashboards, frameworks, playbooks and AI resources (skills, agents, hooks, MCPs, etc) for clients to enable transformation, automation and governance
Partner with Sales/Delivery on pre-sales to attract new customers.
Stay on the cutting edge of releases and best practices, turn learnings into repeatable packages.

We are looking for Software Project Manager in Petah Tikva (on-site). You will plan and run software delivery projects end-to-end - timelines, resources, budget and risk - working directly with customers and with internal R&D, DevOps and architecture teams.
What You'll Do:
Plan and manage software development projects: scope, timelines, resources and dependencies.
Work with R&D, DevOps, product and architecture teams to keep execution moving.
Track and report progress in JIRA and adjacent project management tools.
Own risks, budgets and stakeholder reporting.
Improve project management processes and Agile practice across teams.
Keep delivery aligned to both business goals and technical requirements.

our company builds software products for clients across embedded, IoT, SaaS, AI/ML, e-commerce, mobile, banking and web. Were looking for an Automation QA Team Lead to own quality engineering for a product team and lead our shift to AI-first QA. Youll set the test strategy, lead a team of QA engineers, and stay hands-on building automation - with AI woven into how tests are designed, authored, and maintained. This is a role for someone who pairs deep automation craft with modern AI tooling and can translate requirements into test documentation that both people and AI agents can execute.
What youll do
Own the QA strategy and test architecture for full stack web applications, end to end.
Lead and mentor a team of QA engineers - reviews, standards, and delivery quality.
Stay hands-on: design and build automated E2E and regression suites with Playwright.
Drive AI-first QA practices - AI-assisted test authoring, self-healing suites, and AI-driven test generation from requirements.
Author Software Test Documents (STDs), test plans, and test cases structured for AI-driven execution.
Partner with developers and clients (including large enterprise and banking environments) to embed quality across the delivery lifecycle.