דרושים » תוכנה » LLM Applications Developer

Required Backend Engineer
Description
About the team:
The team ensures that all our customers operate on a modern, scalable, and reliable platform. We build both backend and frontend capabilities that bring established product functionality into our modern experience, while also developing new, high-impact features based on customer needs. Our work improves stability, reduces friction, and elevates the overall experience for both existing and new customers. By owning critical systems, integrations, and UI components, we drive our continuous product evolution and support AI-enhanced service delivery at global scale.
Key Responsibilities
Develop and maintain backend services using Java, Spring, and modern frameworks.
Design, build, and optimize RESTful APIs for seamless integration with frontend applications and external services.
Develop and integrate AI agents and backend services leveraging Large Language Models (LLMs) where relevant.
Work with SQL databases (MySQL) and implement efficient data access and optimization patterns.
Collaborate closely with Product, Frontend, and DevOps teams to deliver secure, robust, and scalable solutions.
Deploy, monitor, and maintain Java services in cloud environments such as AWS, including usage of Docker/Kubernetes where applicable.
Ensure high code quality through automated testing, peer reviews, and adherence to secure coding best practices.
Participate in system architecture design and contribute to ongoing process and technology improvements.

As our company continues to grow, an exciting opportunity awaits for a dynamic individual to join our R&D team as a Senior Full Stack Engineer. We are looking for a highly experienced Python developer to take end-to-end ownership of our entire stack. This role requires deep expertise in architecting scalable, modular, and distributed systems, a proven ability to craft modern frontend experiences, and a strong background in integrating AI-driven capabilities. The ideal candidate will be responsible for everything from data pipelines and architecture to user-facing features and the implementation of LLM-powered intelligence.

Responsibilities
Design, build, and scale backend services, APIs, MCPs, and data pipelines to support high performance, reliability, and growth
Architect and implement distributed, event-driven solutions using technologies like Kafka, RabbitMQ, or similar brokers.
Design robust systems and database models to ensure efficient data flow, maintainability, and support for AI-driven features across the stack.
Integrate Large Language Models (LLMs) into core systems, applying prompt engineering techniques to power intelligent, high-performance capabilities.
Build frontend features using modern frameworks and deliver intuitive, user-centric interfaces aligned with business and product goals.
Write clean, maintainable, and testable code with strong attention to quality, observability, and scalability.
Collaborate with product, design, and engineering teams to align technical solutions with business priorities.
Drive technical design discussions, mentor other developers, and contribute to overall architectural strategy.
Take ownership of development tasks from design and implementation through deployment, monitoring, and iteration.

We are seeking a skilled Backend Engineer to join our team and help us build Cognition, a multi-agent AI platform. The ideal candidate will have strong backend engineering expertise and enthusiasm for working with cutting-edge AI technologies.
About the Role:
You'll be responsible for designing and implementing backend services that integrate AI capabilities including large language models (LLMs), retrieval-augmented generation (RAG), and conversational interfaces into our consumer-facing products. This is an opportunity to expand your expertise into AI while leveraging your strong engineering foundation.
What Youll Do:
Design and develop scalable, high-performance backend services and APIs.
Implement integrations with AI platforms and services.
Work with AI specialists to translate AI capabilities into production-ready features.
Assist in the entire GenAI project lifecycle, from ideation and data strategy to prompt engineering and agent evaluation.
Ensure high reliability, performance, and security of AI-powered systems.
Collaborate with product and engineering teams to gather requirements and deliver solutions.

We are looking for Senior Engineers who treat AI as a core part of their workflow - people who experiment, iterate, and know how to get real value out of AI tools. Flexibility, curiosity, and a problem-solving mindset are must-haves. In this role you will have the opportunity to take ownership of the development of groundbreaking, AI-driven products and work on interesting projects inside a smart, fun, and dynamic engineering team.
This position is based out of our Jerusalem or Tel-Aviv offices and reports to the Dev Team Lead.
What you will be responsible for
Write clean, high-quality, high-performance, maintainable code.
Ensure that the projects you work on meet business objectives and coding standards.
Support the deployment and testing of new products and features.
Collaborate with cross-functional teams to gather and analyze requirements, translating them into technical specifications.
Design and implement APIs and integrations with third-party services to enhance system functionality.
Optimize application performance through code profiling, monitoring, and refactoring as necessary.
Implement automated testing frameworks to ensure code robustness and reliability.
Participate in code reviews and provide constructive feedback to peers to foster continuous improvement.
Stay updated with emerging technologies, best practices, and industry trends to drive innovation within the team.
Assist in the establishment and enforcement of development standards and coding conventions.

Were looking for a Full-Stack Engineer who thrives at the intersection of code, data, and AI. Someone whos passionate about building impactful product experiences end-to-end while leveraging the latest AI tools and automation frameworks.

Key Responsibilities
Design, implement, and own full-stack features that improve user experience and drive product adoption.
Collaborate with product managers, UX designers, and data analysts to identify growth opportunities.
Prototype and deliver experiments quickly to validate hypotheses and learn from real users.
Integrate AI engineering (LLMs, AI Agents) into both the product and internal development processes.
Apply MCP concepts to build smarter, context-aware agent workflows.
Contribute to a modern, scalable, and performance-driven architecture across the front and back end.
Join a fast-moving team that values ownership, speed, and measurable impact.

Join our AI Agents Platform team building the future of developer tooling. You'll create the infrastructure that powers AI-driven development across all of our company's engineering teams.
In this role you'll:
Build platform tools and infrastructure for AI Agents that accelerate R&D delivery across the company
Work with cutting-edge GenAI technologies including LLMs, AI Agents, and advanced prompt engineering
Evaluate and experiment with new AI tools and technologies to assess their potential for company-wide adoption
Design and implement systems that improve developer efficiency and experience through intelligent automation
Collaborate cross-functionally with DevOps, senior technical leaders, and engineering managers on high-impact initiatives
Create developer-facing tools and APIs that integrate seamlessly with modern development workflows
Drive technical decisions for a platform that serves as the foundation for company-wide AI adoption
Contribute to our mission of making insurance instant and delightful through AI-powered innovation.

were looking for talented builders who thrive at the intersection of AI, full-stack development, and experimentation.
What youll do:
Design, build, and iterate on AI-driven systems and prototypes that advance how brands are represented in LLMs and AI platforms.
Own projects end-to-end, from concept and architecture to deployment, evaluation, and iteration.
Collaborate cross-functionally with product, data, and research to validate ideas fast and deliver meaningful outcomes.
Explore new tools, APIs, and models to push the boundaries of whats possible with AI and data.

Were seeking a strategic and hands-on Head of Engineering to lead and scale our technical organization.
In this role, you will turn our product vision into a strong, scalable engineering foundation, build efficient processes, and drive technical excellence. You should be passionate about technology, user value, and high-quality execution. Success means challenging assumptions, diving into details, and shaping both the product and the team that builds it.
Responsibilities:
Lead and scale of 20-30 engineering organizations (Frontend + Backend) through two Group Leads.
Own the technical strategy and roadmap, ensuring strong alignment with product goals and long-term company vision.
Design and oversee scalable, reliable system architecture across image processing, AI model serving, and data pipelines.
Remove bottlenecks to improve development velocity and overall engineering efficiency.
Drive hiring, mentoring, career development, and a culture of ownership and excellence.
Roll up your sleeves when needed and set the standard for hands-on technical leadership.
Enforce engineering best practices across code quality, CI/CD, testing, deployment, and observability.
Partner closely with Product, AI/ML, and Design teams to translate business needs into technical solutions.
Make key technology decisions and evaluate new tools, frameworks, and services.
Define and track engineering KPIs to ensure system performance, uptime, and team productivity.

Were looking for a Senior Fullstack Engineer to join our Unified Analytics Team, which builds an AI-driven product that turns raw data into meaningful insights for our customers.
This is a backend-focused role with ownership of system design, data enablement, and end-to-end development. Youll build and automate backend services across a broad tech stack, design scalable data workflows, and deliver clean, reliable UIs in React to support new features. Youll also help maintain our UI infrastructure and work closely with data analysts to turn requirements into production-ready solutions.
Were seeking someone with a strong blend of Fullstack and Data Engineering experience, who can operate independently in a team of mostly data professionals, and who is comfortable driving a product from architecture through implementation to delivery.

What will you do:
Design and build scalable backend services and system architecture for our Unified Analytics platform.
Develop services and APIs across a broad tech stack (Node.js / Java / Python) that power customer-facing analytics.
Create and optimize data workflows, integrating with tools such as Snowflake, MongoDB, and Kafka.
Implement AI-driven features and automation to enhance customer insights.
Build and maintain React-based UIs, including shared components and UI infrastructure.
Collaborate closely with Product, Data, and Engineering teams to translate requirements into robust, production-ready solutions.
Own features end-to-end-architecture, development, deployment, and ongoing reliability in production.