דרושים » AI » Backend Engineer - GenAI Team

We are looking for an experienced Senior Backend Engineer to join our SaaS platform team.
As part of our platform team, youll design and implement high-impact backend services, collaborate with frontend, DevOps, and product teams, and play a key role in shaping the next generation of our companys SaaS security architecture.
Youll help build and evolve the backend infrastructure that powers our cloud-native security platform, delivering advanced protection, observability, and scalability at global scale.
If youre passionate about solving complex backend challenges, scaling distributed systems, and driving innovation in cybersecurity, this is the place for you.
Key Responsibilities
Design, develop, and maintain cloud-native backend services supporting a large-scale SaaS security platform.
Build scalable, secure, and resilient architectures using modern AWS services (EKS, ECS, EC2, RDS, SQS, CloudFront, IAM).
Develop and optimize RESTful and event-driven APIs, backend integrations, and data flows.
Work in a microservices-based environment, ensuring high availability, observability, and performance.
Collaborate closely with frontend, DevOps, and product teams to deliver end-to-end solutions.
Implement monitoring, alerting, and reliability best practices for production environments.
Write clean, maintainable, and testable code, contributing to best practices and design standards.
Participate in architecture and design reviews, influencing the technical direction of the platform.

What Youll Do:
Youll be part of the group responsible for our companys main products. You will impact the work of developers in the group by designing, building and maintaining the core infrastructure of our solution and leading the research and development of new technologies as well as maintaining code standards and practices.
What does the day to day of Infrastructure Engineer at our company look like:
You will be working on our companys core B2B platform that serves tens of thousands of customers, serving hundreds of terabytes in production. Our backend engineers are responsible for the entire data lifecycle - from our endless datatlakes, through choosing the right serving methods and databases, all the way to our api services.
Your role will include:
Design and implement scalable backend services and libraries that are reusable and maintainable, serving as the foundation for various applications across the company.
Build and maintain tools that streamline development workflows, enabling product teams to focus on delivering business value.
Define and promote best practices for code quality, performance, and reliability, ensuring healthy production environments and rapid development cycles.
Lead the adoption and integration of AI tools to assist in code generation, testing, documentation, and debugging, thereby accelerating development processes.
Perform proof-of-concepts (POCs) on emerging technologies, including AI agents and platforms, to assess their applicability and benefits to our development ecosystem.
Drive cross-team technical projects aimed at improving infrastructure scalability, reliability, and developer experience.
Analyze and resolve complex production issues, ensuring minimal downtime and optimal performance.
Contribute to the evolution of our system architecture, ensuring it supports rapid development and scaling needs.

What Youll Do:
Youll be part of the group responsible for our companys main products. You will impact the work of developers in the group by designing, building and maintaining the core infrastructure of our solution and leading the research and development of new technologies as well as maintaining code standards and practices.
What does the day to day of Infrastructure Engineer at our company look like:
You will be working on our companys core B2B platform that serves tens of thousands of customers, serving hundreds of terabytes in production. Our backend engineers are responsible for the entire data lifecycle - from our endless datatlakes, through choosing the right serving methods and databases, all the way to our api services.
Your role will include:
Design and implement scalable backend services and libraries that are reusable and maintainable, serving as the foundation for various applications across the company.
Build and maintain tools that streamline development workflows, enabling product teams to focus on delivering business value.
Define and promote best practices for code quality, performance, and reliability, ensuring healthy production environments and rapid development cycles.
Lead the adoption and integration of AI tools to assist in code generation, testing, documentation, and debugging, thereby accelerating development processes.
Perform proof-of-concepts (POCs) on emerging technologies, including AI agents and platforms, to assess their applicability and benefits to our development ecosystem.
Drive cross-team technical projects aimed at improving infrastructure scalability, reliability, and developer experience.
Analyze and resolve complex production issues, ensuring minimal downtime and optimal performance.
Contribute to the evolution of our system architecture, ensuring it supports rapid development and scaling needs.

Required Fullstack Engineer- Backend Oriented
As part of the role you will have the opportunity to:
Design and implement new backend features that are at the heart of our product's roadmap.
Help develop & maintain our BFF (Backend-For-Frontend) layer - a suite of services responsible for streamlining the process of exposing new backend features to our client-side code in a secure, scalable and cost-efficient manner.
Help develop & maintain our SSO solution for both OnPrem & Cloud based deployments. provide on-going maintenance to keep it secure and up-to-date according to industry's best standards.
Research & develop integrations with external 3rd party systems in a cloud-to-cloud formation, such as external ticketing systems, external device-registries / CMDBs etc'
Be part of a team responsible for designing and implementing our next-gen -API - our publicly available Rest-API solution, that enables our customers to easily integrate our solution with external on-prem & cloud-based systems and/or integrating our solution in various automated flows.
Develop new backend services in micro-service architecture and cloud-native best practices
Optimize performance and maintain system reliability at scale
Troubleshoot and resolve technical issues, ensuring seamless operation of our services & integrations.

We are looking for an experienced Backend Engineer to join our R&D team to build out our products and services to support new initiatives.

Our stack is based on TypeScript, Node.js, React, React Native, Kubernetes, AWS.

You Will:

Design and build reliable distributed systems, with a focus on performance, security, data integrity and compliance.

Implement core business logic and workflows that power financial transactions.

Take ownership of the development lifecycle, from design to deployment and monitoring.

Collaborate closely with product, security, and infrastructure teams to deliver high-quality solutions.

Play a key role in evolving our engineering standards and development processes.

We are looking for an experienced AI Backend Engineer to join our fast-growing company during an exciting stage of innovation. In this role, you'll design and develop Agent and LLM-based features, engineer and optimize context and high-quality prompts, implement agentic architectures in production and evaluate and monitor applications effectively. If you're passionate about staying at the forefront of Large Language Model AI applications and collaborating with a team of experts, wed love to hear from you!
What Will You Do?
Take part in all development aspects, from design to production, of Agent and LLM-based features and applications.
Take part in all the development and planning aspects of a backend application, understanding scale, performance, observability.
Craft and optimize high-quality prompts to enhance application functionality and output quality.
Develop datasets and benchmarks to evaluate and monitor LLM-based applications effectively.
Stay up to date with state-of-the-art research in the field of Large Language Models and apply relevant advancements to improve our applications.
Collaborate closely with other team members and contribute to a culture of innovation and continuous improvement.
Mentor new team members and share your expertise to strengthen the team's collective knowledge.

Come and be you with us
Being a worker is all about being you. We want you to bring all parts of yourself to work. giving you the freedom and confidence to be the best you and do your best work.
were waiting with open arms. Come join us.
About the Team
The AI team at our company is at the forefront of integrating cutting-edge AI technologies into our product, delivering features that enhance user experience, empower decision-making, and drive business insights.
We work in a true continuous delivery environment, with fully automated QA processes and a modern microservices architecture deploying to
Design, build, and maintain backend infrastructure and microservices supporting AI-driven features.
Collaborate closely with the infra and data groups to ensure smooth integration of AI models and services into our companys core systems.
Develop and optimize APIs, data pipelines, and background processing workflows.
Ensure performance, scalability, and resilience of production systems handling real-time AI interactions.
Drive engineering excellence through code reviews, architecture discussions, and automation.
Mentor other backend developers and promote best practices in software design, testing, and deployment.

we are a world-leading online trading platform with hundreds of thousands of active users placing millions of trades a month.
Our mission is to disrupt the age-old trade markets by building digital technologies that make trading around the world accessible and more efficient.
What to Expect - The Role
We are looking for a highly motivated backend software engineer specializing in creating high-scale, distributed backend systems.
You must demonstrate strong software engineering skills, excellent interpersonal communication, extreme ownership, and the ability to accept and give meaningful technical feedback.
You will be responsible for designing architecture, writing correct, robust code, maintaining and improving existing functionality, and shipping new features.
You will work as part of a Scrum-Agile cross-functional team and collaborate with front-end engineers, quality engineers, product managers, and more.
The platform you help us build will scale novel functionality to millions of Plus users worldwide.
Our team strives to set the bar for real-time, high-scale, mission-critical trading systems. We want to work with people who are excited by this goal and have the talent to deliver on it.
What Youll Do - Responsibilities
Design and build scalable, high-availability mission-critical systems and APIs
Drive the migration of large-scale, distributed trading services towards cloud-native microservices
Solve problems using distributed, asynchronous messaging
Tackle technical challenges - performance, fault-tolerance, security, and live production issues
Work closely with product, DevOps\SRE, and infrastructure teams - we practice full-cycle development where developers own and operate what they build.
Mentor Jr engineers as a Senior member of the team.

we are a fast-growing digital health SaaS company thats on a mission to transform the way physicians interact with patient data. Thousands of clinicians across the United States already use our companys AI-powered solution that transforms complex and fragmented patient data into concise patient portraits" and actionable clinical insights at the point of care. With our company, physicians experience less burnout, reduce missed diagnoses, and can devote more time giving better care to their patients.
our company has been named one of the Top 100 AI companies globally by CB Insights and made the list of the Top 50 Digital Health startups. We are already working with industry-leading value-based organizations including Privia Health and Agilon.
we are looking for a talented and experienced Senior Software Engineer to join our data group.
The team is responsible for processing structure and unstructured medical data from multiple external sources while building and maintaining an internal serving platform. Our key challenges include operating at scale, integrating with diverse external interfaces, and ensuring the data is served in a consistent and reliable manner.
Responsibilities
Lead development processes from ideation to production
Collaborate with product, medical, and software teams across the organization.
Own the design and evolution of the data ingestion and serving platform.
Mentor and guide junior and mid-level engineers.
Define best practices for system reliability, scalability, and observability.
Lead technical decisions around distributed systems, APIs, and integrations.
Build a customer-centric product with a deep understanding of the complex healthcare industry.

About the role:
As an AI Backend Engineer at our company, you will be a key player in building our new AI platform, AI Studio. This platform aims to provide users with instant answers to complex market research questions, generate world-class reports, and create live, interactive, and powerful dashboards. Our goal is to reduce the complexity and time-to-insight for our users, helping them streamline their market tasks and achieve automation that drives real value.
Responsibilities:
Design and develop LLM-based intelligent agents that can handle complex market research queries.
Utilize LangGraph and other frameworks to create state of the art AI agents that integrate various tools and data sources.
Implement integrations that allow agents to take automated actions on behalf of users, streamlining workflows and reducing overhead.
Collaborate with product, data, and UX teams to ensure that AI solutions are aligned with user needs and business goals.
Continuously evaluate and improve the performance of AI models to ensure high-quality and data-driven results.