לוח משרות דרושים AI Engineer ברעננה

We are looking for a Champion and operationalize AI‑assisted development across our global R&D organization. Your mandate is to help accelerate delivery by on boarding teams to effectively use AI tools during the development and testing, support the teams in building production level code and how to best leverage the AI coding agents to meet the production level standards.
How will you make an impact?
Upskill engineers  run concise workshops and pair‑programming sessions with developers and teams to help them become more proficient and productive in adopting AI coding tools for their SDLC
Prototype & demo reference AI agents that illustrate best‑practice patterns teams can reuse
Proactively suggest tools and processes to improve developer experience and productivity.

Required AI Automation & Prompt Optimization Engineer
Job Summary
As an AI Automation & Prompt Optimization Engineer on the AI Testing & Workflow Validation team, you will design, test, and refine prompts that enable AI models to generate code and execute automated workflows. Youll work closely with engineering, QA, and product teams to ensure AI-driven features are accurate, reliable, and aligned with user and technical requirements. This role combines creativity in prompt design with rigorous testing and validation practices.
Our commitment to open source innovation extends beyond our products - its embedded in how we work and grow. Our employees embrace change especially in our fast-moving technological landscape and have a strong growth mindset. That's why we encourage our teams to proactively, thoughtfully, and ethically use AI to simplify their workflows, cut complexity, and boost efficiency. This empowers our associates to focus on higher-impact work, creating smart, more innovative solutions that solve our customers' most pressing challenges.
We are seeking highly experienced professionals with at least 7 years of hands-on expertise in the areas described.
What you will do:
Design, iterate, and optimize prompts for AI-assisted code generation and workflow execution.
Collaborate with product owners, developers, and QA to translate feature requirements into effective prompting strategies and evaluation benchmarks.
Validate AI-generated outputs through structured test cases, regression testing, and performance evaluation.
Build or adapt internal tooling to streamline prompt testing, versioning, and deployment.
Capture insights from prompt performance, including failure modes, and iterate toward more consistent, high-quality results.
Document prompt patterns, metrics, and best practices to support knowledge sharing across the team.

Required Senior Performance and Scale Engineer - AI Engineering Tools
What you will do:
Define measurable KPIs / SLOs for throughput, latency, footprint, and cost across all AI Engineering Tools components.
Own and iterate on the performance roadmapfrom micro‑benchmarks to multi‑cluster scale tests.
Champion a performance‑first engineering culture
Formulate performance test plans and execute performance benchmarks to characterize performance, drive improvements, and detect performance issues through data analysis and visualization
Develop and maintain tools, scripts, and automated solutions that streamline performance benchmarking tasks.
Work closely with cross-functional engineering teams to identify and address performance issues. For eg.
RAG: profile vector DBs (PGVector, Milvus) and embedding models, tune ANN indexes and cache paths.
Agentic/MCP: stress‑test agent orchestration graphs, reduce tail latency of multi‑step chains.
Llama Stack: Performance and Capacity Measurement
Partner with DevOps to bake performance gates into GitHub Actions/OpenShift Pipelines.
Explore and experiment with emerging AI technologies relevant to software development, proactively identifying opportunities to incorporate new AI capabilities into existing workflows and tooling.
Triage field and customer escalations related to performance; distill findings into upstream issues and product backlog items.
Publish results, recommendations, and best practices through internal reports, presentations, external blogs, and official documentation.
Represent the team at internal and external conferences, presenting key findings and strategies.