דרושים » AI » Staff Software Engineer, AI

Come join the team as a Staff Machine Learning Engineer. We are seeking a highly skilled ML engineer passionate about building a world-class platform at a high scale, specifically focused on delivering AI capabilities. You will be part of a vibrant team of AI Scientists and ML Engineers, helping to build the next generation of awesome products and experiences using cutting-edge Generative AI technology. If you love having stretch goals, challenges, and making customers incredibly happy while fostering your obsessive need for perfect code and user experience, this is the job for you.
Responsibilities
Design, implement, and enhance services at large scale, specifically focusing on improving Generative AI inference, quantization, optimization, finetuning, and evaluation.
Use your coding expertise to design and implement scalable, modular, and secure services.
Develop backend systems that support serving of LLMs and AI Agents at scale, utilizing the latest industry tools and techniques.
Work cross-functionally with product managers, AI scientists, business units, and other engineers to understand, implement, refine, and design Generative AI models.
Help automate, deliver, monitor, and improve GenAI solutions while taking end-to-end responsibilities including technical documentation and automation tests.
Interact with a variety of data sources, working closely with peers to refine features from the underlying data and build end-to-end pipelines.
Resolve defects and bugs during testing, production, and post-release patches, and participate in peer code reviews.
Explore the state-of-the-art technologies and apply them to deliver customer benefits.

Join our companys Content Safety team as a Staff AI Scientist, where youll build the intelligent infrastructure that keeps our global platform secure. We're looking for a specialist to design and deploy production-grade GenAI solutions that moderate content at scale. From pioneering automated labeling workflows to securing AI-generated outputs, your work will define the safety standards for every product in the company portfolio.
Responsibilities
Architect Robust Moderation Systems: Lead the design and deployment of sophisticated, multi-modal content moderation engines to detect and mitigate abusive content across our companys diverse product ecosystem.
Drive LLM Strategy: Direct the fine-tuning and optimization of state-of-the-art Transformers and Large Language Models (LLMs), balancing high-precision accuracy with production-scale efficiency.
Pioneer Agentic Workflows: Research and integrate advanced GenAI patterns-including Retrieval-Augmented Generation (RAG) and Agentic AI-to revolutionize automated data labeling and complex classification taxonomies.
Cross-Functional Leadership: Partner closely with ML Engineers, Product Leads, and Policy Experts, to help ensure AI systems aren't only technically superior - but also ethically grounded and compliant with global safety standards.
Technical Evangelism and Research: Act as the teams North Star by staying at the bleeding edge of AI research, translating academic breakthroughs into practical, "production-first" content safety strategies.
Communication and Governance: Standardize high-quality documentation and model governance. You will translate complex technical architectures into clear, actionable insights for both executive stakeholders and technical peers.
Team Upskilling and Mentorship: Serve as a force multiplier by mentoring junior and senior scientists, conducting rigorous code/design reviews, and fostering a culture of technical excellence.

- Drive technical decisions around AI evaluation frameworks, monitoring, and observability tools
- Design, build, and deploy AI-powered solutions across yad2s products and platforms
- Work hands-on with Large Language Models (LLMs), retrieval-augmented generation (RAG), embeddings, vector databases, and prompt engineering
- Develop scalable backend services that integrate AI capabilities into production
- Collaborate closely with product, data, and engineering teams to identify high-impact AI opportunities
- Lead by example: write clean, high-quality code, set best practices, and help shape the foundation of the AI team

We are seeking a skilled versatile software engineer with a vast experience in enterprise business applications development (like: Salesforce, NetSuite etc.) that will be part of the business applications development team and will also have a deep understanding of enterprise grade AI development and implementation, specifically, but not limited to, Microsoft 365 AI tools , Microsoft applications building tools, Claude tools and working with various AI models.
The ideal candidate will design, implement, and optimize business solutions and AI solutions that enhance Cellebrite business processes, productivity and collaboration across our organization.
Key Responsibilities:
Design, develop, and deploy business applications solutions and AI-driven solutions integrated with enterprise business systems.
Partner with IT analysts and business stakeholders to understand requirements, and translate them into scalable technical solutions, that deliver measurable business impact.
Build and integrate LLM-based solutions (e.g., OpenAI, Anthropic, AWS Bedrock), including coding, orchestration workflows using tools such as LangChain, n8n, or similar frameworks.
Own the end-to-end lifecycle of business applications and AI solutions -from prototyping and experimentation to production deployment, monitoring, maintenance & support and continuous optimization.
Integrate and enhance enterprise platforms (e.g., Salesforce, NetSuite, iPaaS services) with AI capabilities to improve business processes.
Evaluate, adopt, and standardize AI tools, frameworks, and best practices, while staying current with emerging technologies and proactively being part of a continuous innovation.
Maintenance and support - handling relevant tickets and bugs within defined SLA and customer satisfaction targets.

Responsibilities
Take full end-to-end ownership of features - from product thinking and design through development, testing, deployment, and post-production monitoring.
Collaborate with cross-functional teams to design, develop, and deploy high-quality web applications and services.
Champion and apply agentic development practices, leveraging AI-assisted tooling and automation to accelerate R&D velocity.
Develop robust and scalable systems using Node.js,C#,React, TypeScript and related frameworks.
Own the full DevOps lifecycle - CI/CD pipelines, containerization, release management, and production observability.
Optimize web applications for performance, scalability, and security across both microservice and monolithic architectures.
Write and maintain automated tests (unit, integration, end-to-end) to ensure code quality and reliability.
Utilize version control systems, particularly Git, for code management and collaboration.
Stay current with emerging technologies, AI tooling, and modern engineering trend.

We are looking for a Staff Software Engineer to join our elite team which is building one of our strategic products for Cloud Security.
In this role, you will take part in building a new innovative product, and have a huge influence on its design, capabilities, and technology. You will have to demonstrate high professional skills, fast technology adoption, and the ability to work on AWS. You will practice all software development life cycle in an agile oriented environment while exploring new technologies and tools to keep us using cutting edge solutions.
As a Staff Engineer, you will also lead and own various activities in the team while ensure high standers of quality and architecture best practices.

We are seeking an experienced Software Engineer Team Leader for our companys core R&D department.
At our company, teams are cross-functional and have full ownership of their domain. We aim for continuous delivery, a smooth developer experience, top-tier code, high-quality processes, and an excellent, outcome-driven engineering culture. Looking for a Team Lead to own the technical roadmap and execution of our Finance Domain.
You will lead a high-performing distributed team in a fast-paced e-commerce environment.
You are the bridge between complex financial logic, product aspirations, and engineering excellence.
Responsibilities:
Drive Execution: Lead a distributed team of 6-10 engineers (distributed team) to deliver high-quality, scalable financial services.
Strategic Collaboration: Work daily with Product Managers to translate business requirements into technical specs, and with other Team Leads to ensure cross-domain architectural alignment.
Mentorship & Culture: Build a culture of accountability and high performance. Conduct deep code reviews and drive the adoption of best practices in distributed systems.
Take full ownership of processes and features, including architectural design, software design, implementation, Testing and observability.
Develop and implement software development best practices.
Conduct code reviews to ensure we deliver high-quality, maintainable code
Mentor Junior and Mid-level engineers and play a significant role in their growth.
Help to adopt the DevOps culture, own your code approach, and improve observability.

We are looking for a senior software engineer to join our elite team which is building one of our strategic products.
In this role, you will take part in building a new innovative product, and have a huge influence on its design, flows, and technology.
In this role, you must demonstrate high professional skills, fast technology adoption, and the ability to work on AWS.
Responsibilities:
Practice all software development life cycle in an agile oriented environment.
Explore new technologies and tools to keep us using cutting edge solutions.
Participate in continuous and iterative engineering cycles with an emphasis on code quality, supportability, scalability, and performance.
Collaborate closely with the product team to align on design and functionality.