דרושים » הנדסה » Senior Software Engineer - IDE AI Experiences - LLM Engineer

We are looking for a highly skilled and motivated Senior II Software Engineer to join the Operational Experience engineering team. The team is part of the Customer Experience group, which is responsible for the platform, tools, and customer-facing experiences that power how our customers interact with our ecosystem. This is a high-impact, hands-on role, in which youll be working closely with product managers, designers, customer-facing teams, and engineering partners across the company.

You will operate at the intersection of backend engineering, data-intensive systems, platform development, and customer experience. The ideal candidate brings strong expertise in Node.js and TypeScript, along with deep experience working with large-scale data stores, event-driven pipelines, data models, and high-throughput infrastructure. You will work closely with cross-functional partners to design and implement robust backend services, data-access patterns, and operational workflows that power the portal and internal tools. As we invest heavily in Agentic AI, you will also play a central role in shaping and implementing AI-driven capabilities across the platform. While the role is primarily backend, you will occasionally contribute across the full stack when it supports end-to-end delivery.

If you enjoy owning complex problems end to end, improving systems at scale, and building experiences that bring real value to customers, we would love to meet you.

What you'll be doing:
Drive technical direction and architecture within the OX team and across the broader CX organization. You will proactively identify opportunities to improve performance, resilience, cost, scalability, and developer experience, primarily in backend systems but with influence across the stack.
Lead the development of AI-driven and Agentic AI capabilities. Define how LLMs integrate into our platform, build AI-powered workflows, and establish strong engineering patterns for safe and reliable adoption.
Own and evolve the data foundations behind the portal. Optimize pipelines, improve data quality and freshness, and design resilient data-access patterns across Snowflake, Elasticsearch, Kafka, Redis, MySQL, and related systems.
Work closely with product, design, customer-facing teams, and partner engineering groups. Turn ambiguous problems into clear execution plans and ensure alignment with customer and business goals.
Shape shared standards and platform best practices. Guide other teams on backend services, data integration patterns, portal development approaches, and AI-enabled workflows.
Mentor and elevate engineers across the CX group. Promote engineering excellence, share knowledge openly, and help teams adopt effective modern development practices.
Own delivery of high-impact initiatives. Contribute hands-on when needed, remove blockers, maintain execution momentum, and drive projects from concept to production.

our company's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to manage information at a massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to our companys needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
In this role, the Migration and Modernization TL (Team Lead) will be responsible for the architecture, technology and implementation of migration and modernization solutions to production.
Your work will include leading the technological side of multiple solutions that are developed in multiple engineering teams and TL should be able to fully understand customers migration and modernization issues (working with customers and the field team) and translate these into a viable technical solution leveraging our own first-party solutions as well as third-party/partners solutions. You will be working with the various stakeholders: customers, partners, sales, delivery, product and engineering teams.our company Cloud accelerates every organizations ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage our companys technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to our company Cloud as their trusted partner to enable growth and solve their most critical business problems.
Responsibilities
Be part of the core team responsible for the architecture, technology, and implementation of the AI code modernization solutions.
Work closely with customers to understand legacy/mainframe modernization challenges (working with customers and the field team) and translate these into a viable technical solution leveraging to be then driven to implementation.
Facilitate alignment and clarity across teams on goals, outcomes, and timelines. Influence and coach a distributed team of engineers, and work closely with the various stakeholders such as customers, partners, sales, delivery, and product.

our company's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to our companys needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.
our company Cloud Storage provides a suite of services like the scalable our company Cloud Storage (GCS) for unstructured data, high-performance managed lustre for AI/HPC workloads, and the managed Network File System (NFS) service filestore. These offerings are fundamental to our companyCloud's infrastructure, serving as the backbone for storing and accessing the vast datasets required for training and deploying AI models. In the AI era, this storage portfolio is crucial for enabling innovation, supporting compute-intensive tasks, and driving significant value for our company Cloud customers. The performance, scalability, and flexibility of these storage solutions are key to unlocking the potential of AI.
our company Cloud accelerates every organizations ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage our companys cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to our company Cloud as their trusted partner to enable growth and solve their most critical business problems.
Responsibilities
Help us figure out a strong roadmap to make Cloud Storage the best for AI/ML workloads.
Lead a team of Engineers to design, develop, and deploy new storage enhancements. Provide technical guidance, mentorship, and code reviews.
Architect and design scalable, reliable, and performant systems that meet the needs of the growing AI/ML customer base. Make data-driven decisions to optimize system performance and efficiency.
Troubleshoot complex technical issues, analyze performance bottlenecks, and develop innovative solutions to address customer challenges.
Work closely with product managers, customer engineers, and other stakeholders to understand customer requirements and ensure that Cloud Storage meets their needs.

our company's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to our companys needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
our company Cloud Storage provides a suite of services like the scalable our company Cloud Storage (GCS) for unstructured data, high-performance managed lustre for AI High-Performance Computing workloads, and the managed Network File System (NFS) service filestore. These offerings are fundamental to our company Cloud's infrastructure, serving as the backbone for storing and accessing the vast datasets required for training and deploying AI models. In the AI era, this storage portfolio is crucial for enabling innovation, supporting compute-intensive tasks, and driving significant value for our company Cloud customers. The performance, scalability, and flexibility of these storage solutions are key to unlocking the potential of AI.
our company Cloud accelerates every organizations ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage our companys technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to our company Cloud as their trusted partner to enable growth and solve their most critical business problems.
Responsibilities
Design and implementation of high-complexity features. Deliver robust, production-ready code for storage solutions that address the specific demands of AI/ML workloads.
Architect scalable and performant storage solutions. Make data-driven decisions to optimize system efficiency and reliability.
Provide deep-dive code reviews and technical guidance to the team. Set the standard for engineering excellence and help maintain a high quality bar for all deliverables that addresses the expectations of key our company customers.
Identify and resolve performance bottlenecks and intricate system issues. Develop innovative, practical solutions to technical challenges that arise at the intersection of storage and ML.
Partner with product and engineering stakeholders to translate customer requirements into technical specifications, ensuring the incubations output aligns with broader our company Cloud goals.

We're seeking an outstanding and passionate Software Engineering to join our growing R&D team.

You will work in an energetic startup environment following Agile concepts and methodologies. Joining the company at this unique and exciting stage in our growth journey creates an exceptional opportunity to take part in shaping our team and technology at the forefront of Fintech and AI.

If you have more front-end or back-end orientation, don't hesitate to apply.

What you'll do:

Be responsible (together with the team members) for the company`s platform, its up-time, architecture & scale.

Be part of building a high-scale and robust backend platform.

Work closely with company leadership, and iterate over core infrastructure.

Write high-quality and performant code following industry best practices and standards.

Experiment with new technologies, tools, and 3rd party frameworks. Utilize them to deliver state-of-the-art tech.

our company's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to our companys needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
The company Cloud Platform Generative AI Blackbelt team helps customers unlock their potential with AI. As part of an entrepreneurial team in this rapidly growing business, you will help shape the future of businesses of all sizes using AI and ML.
Applied AI builds conversational agents deployed at a large scale that achieve very meaningful results in the real world. Some examples include the customer agent built for large call center environments, to fast food ordering handled by our Food AI agent. The team is transforming how enterprises connect with customers through the power of AI. We also offer unique experiences for team members where you get to work directly with the model builders (our company DeepMind / Vertex), learn and work with brilliant AI leaders, and have access to Global 1000 customers via our existing our company Cloud relationships. The opportunity in this space is tremendous.
Responsibilities
Work with the team to identify and qualify business opportunities, understand key customer technical objections, and develop the strategy to resolve technical blockers.
Provide AI expertise to support the technical relationship with our companys customers, manage product and solution briefings, create demos, proof-of-concept work, and partner directly with product management to prioritize solutions impacting customer adoption to our company Cloud.
Recommend integration strategies, enterprise architectures, platforms, and application infrastructure required to implement a complete solution our companyCloud.
Support developers, creators, and enterprises to leverage our companys Generative Language APIs so they can build their own AI products in the future.
Travel to customer sites, conferences, and other related events as needed.

We are looking for a Senior Engineer with a data engineering background to join our growing ML Platform team. This is a great opportunity, whether you have experience with ML and are looking for a ML focused product or are an experienced Data Engineer looking to enter the world of ML. Together well provide tools to develop more effective models, get them into production faster, and ensure that they continue to perform well over time.

What you will be doing:
Designing, building, and maintaining the ML infrastructure that allows our models to make billions of real-time decisions every year.
Building a platform that enables managing a full ML model lifecycle - from researching to training, deploying, and serving predictions in real-time.
Building distributed data processing pipelines to support model development.
Acting as a consultant to researchers, data scientists, and expert analysts and enabling them to research new models faster and with greater precision by providing cutting-edge tooling.
Expanding our ML infrastructure to make it scalable, quick, and efficient to bring diverse models to production and to monitor their performance and drift over time.
Expanding the pool of internal customers able to use ML at Forter. Work with them to understand their needs and help them make the most of the infrastructure that well provide.
Acting as an advocate for MLOps, continually improving our processes, and raising our standards.

We are seeking a passionate and proactive Intermediate Backend Engineer(or an experienced Junior ready for the next step) to join one of our core development team. This is a high-impact role for a fast learner and natural problem-solver who has mastered the basics, is genuinely excited about technology and building robust, scalable systems and ready to take full ownership of complex features.
We are looking for someone who doesn't just code, but who lives and breathes technology. The ideal candidate is up-to-date with industry trends, has a history of writing substantial code, and has worked on interesting, complex systems-whether in a professional environment, the army, or through significant personal projects. If you are self-motivated, eager to take ownership, and thrive on getting things done, we want to hear from you.
What You'll Do:
Be an active, hands-on member of the software development lifecycle, from product and software design to implementation and testing.
Write high-quality, maintainable, and efficient code, primarily in Python.
Quickly learn and gain a deep understanding of our product architecture, design patterns, and development processes.
Develop, deploy, test and maintain robust RESTful APIs and (mostly)backend services. You will design and implement scalable microservices within an event-based ecosystem..
Collaborate on maintaining our 24/7 live production environment, troubleshooting and resolving issues as they arise.
Collaborate with DevOps and infrastructure teams to ensure smooth deployment and reliability.

Product Analytics aims to help developers, product managers and designers understand their users, take data-oriented product decisions and evaluate the impact of technical issues on their customer base. As a Senior Software Engineer on the Product Analytics Backend team, you'll join a new, fast-growing product area. You will help define our technical vision, influence the product roadmap, and solve complex engineering challenges at scale.

In Product Analytics, we consume and process data from multiple sources: clickstreams, user information, and data from third-party systems. Your work will be central to building a robust and flexible system that can ingest, manipulate, correlate and store all this data to have it efficiently queried by our end users.

What Youll Do:
Design, build, and maintain core backend systems for Product Analytics, ensuring scalability, reliability, and high performance.
Drive technical architecture decisions in alignment with product goals and collaborate closely with frontend and platform teams.
Work with our core platform teams to tailor our storage and query solutions to our needs.
Create a strong team culture aligned with our engineering standards and our customer focus.
Participate in hands-on engineering work including coding, code reviews, and design reviews.

Your Career Get ready to lead the team that is shaping the future of software development at our company! You will manage a pioneering team building our agentic AI tool. This isn't just another product; it's our strategic solution for supercharging developer productivity through advanced vibe coding using state-of-the-art LLM models. We are developing an enterprise-grade, high-scale platform, designed to be used by thousands of engineers. We are looking for an innovative, creative, agile, visionary, and experienced leader who is excited to build and guide the team, defining our next generation of engineering. Your Impact Lead, mentor, and grow a high-performing team of backend and AI developers, fostering a culture of innovation, collaboration, and velocity. Develop and execute a strategic, long-term vision and roadmap for the team, aligning with the broader company goals for developer productivity. Partner closely with key internal stakeholders to define scope, manage priorities, and drive engagement and adoption for your tools. Drive the team's technical direction, leading architectural and design reviews for sophisticated, hyper-scalable AI-powered features. Champion and improve engineering best practices - from agile methodologies and CI/CD to ensuring enterprise-grade quality and reliability for our live production systems. Actively recruit, hire, and onboard the best engineering talent to scale the team and its impact.