לוח משרות דרושים הייטק AI עבודה היברידית

We are seeking an experienced AI Development Expert with deep technical expertise, strong system-level thinking, and a proven ability to define and implement AI-based solutions across an organization. This role involves shaping AI system architecture, selecting appropriate technologies, establishing standards, building infrastructure, and advancing innovation in areas such as Machine Learning, Natural Language Processing, and other intelligent applications.
How will you make an impact?
Write high-quality, efficient Python code, including model development, data processing scripts, and MLOps infrastructure.
Guide and advise technical teams on architecture selection, development methodologies, and MLOps practices.
Partner in defining end-to-end AI solution architecture from infrastructure to product.
Support selection and implementation of models, platforms, and advanced AI/ML tools.
Manage risks and address scalability, security, and regulatory aspects of AI solutions.
Write architecture documents, conduct technology reviews, and contribute to strategic projects.
Research and support new technologies (Generative AI, LLMs, CV, and more) according to organizational needs.
Collaborate with development, product, and data teams to optimally integrate AI solutions into existing and new products.

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.

Join our AI & Innovation group as an AI Software Developer and play a key role in shaping the future of AI-driven security solutions. You'll work with a team of open-minded, ambitious individuals who thrive on collaboration, continuous learning, and delivering real-world impact.
Our group is building an ambitious, AI-powered product at the heart of our companys strategic vision combining cutting-edge AI technologies with world-class cybersecurity expertise. This role offers a unique blend of deep technical challenges, hands-on development, and meaningful product impact. Youll have access to some of the best cybersecurity data sources available, working in a fast-paced, innovation-driven environment that combines the agility of a startup with the stability of a global leader.
If you're passionate about building state-of-the-art systems, solving complex engineering problems, and working with a great team to deliver real impact wed love to hear from you.
Key Responsibilities
Design, architect, and implement a complex AI-powered security product
Develop and optimize scalable, reliable, and high-performance data pipelines, APIs, and cloud services
Integrate AI models and in-house agents into a robust production systems
Collaborate closely with cross-functional teams, including data scientists, software engineers, and product teams, to drive innovation from concept to deployment.

We are looking for a passionate and experienced AI Agentic Developer to join our SCA Department .
In this role, you will drive the evolution of our Software Composition Analysis (SCA) platform into the era of autonomous AI agents.
Youll lead the integration of our security capabilities into modern AI workflows and toolchains, leveraging technologies such as LangChain, AI code assistants, agentic frameworks, and large language models (LLMs).
Youll work on building robust, scalable backend services in Go and Python, supporting high-throughput, enterprise-grade systems. Youll also collaborate with AI researchers, DevOps, and product managers to define and deliver intelligent, secure solutions for the developers of tomorrow.
**Working in a hybrid model! ( two days from the office, three days from home**
Responsibilities:
Design and implement high-performance, fault-tolerant backend systems using Go and Python.
Build and maintain integration layers between SCA platform and AI agents, LLM-based systems, and developer tools.
Collaborate with AI research and platform teams to build secure, intelligent agentic workflows.
Architect scalable services that support real-time decision-making and security insights for autonomous agents.
Lead and participate in design discussions, code reviews, and AI/ML experimentation loops.
Guide junior team members and contribute to a knowledge-sharing culture.

Deloitte is looking for a seasoned Tech Lead.
This role is a fantastic opportunity for professionals eager to steer critical projects over the years and are ready to apply their expertise to drive the success of complex projects.
This role will be involved in development at varying levels of detail, identifying requirements and translating documented user stories and requirements into a technical approach, to spending time hands-on coding building out functionality, overseeing sprint planning and ongoing development and deliverables, maintaining code quality, and meeting deadlines.
Execute multi-tenancy and business configurability patterns to ensure efficient distribution to multiple client

We are seeking a talented Software Development Leader with a strong background in Large Language Models (LLM) and GenAI engineering.
This is a unique opportunity to work with US clients and engage in global projects, leveraging your extensive skills in generative AI tools.
As a pivotal member of our team, you will be responsible for translating complex business problems into data-driven solutions, drafting methodologies, and executing innovative projects. In this role you will:
Lead development of robust, efficient, and scalable Python code, ensuring adherence to best practices in software engineering and optimization for high-performance applications.
Utilize GenAI engineering tools such as LangChain, RAG, Agents, and Vector Database for implementation and optimization.
Stay updated with AI protocols and standards and ensure their correct application in projects.
Collaborate with other teams and team members to understand requirements and develop solutions.
Analyze complex problems, identify and define the computational requirements to solve them.