דרושים » תוכנה » Software Engineer (AI)

we are hiring a Senior Frontend Engineer to help revolutionize the world of observability. Using cutting-edge AI-driven technology, we are redefining how organizations monitor, analyze, and optimize their systemsmaking observability more intelligent, efficient, and accessible than ever before. As we scale, we seek top talent to push the boundaries of innovation and shape the future of AI-powered observability. If youre passionate about solving complex challenges and building game-changing technology, join us in transforming how the world understands and interacts with data.
Responsibilities:
Design and maintain features in scalable and high-performance web applications
Implement and optimize design systems to ensure consistency, usability, and maintainability
Improve build processes and frontend architecture to enhance efficiency and developer experience
Write clean, maintainable, and testable code following best practices
Debug, troubleshoot, and upgrade software to ensure stability and performance
Collaborate with cross-functional teams, including product managers, designers, and backend engineers, to deliver high-quality features
Stay up-to-date with emerging frontend technologies, frameworks, and best practices to drive continuous improvement

We are seeking a backend engineer with a strong foundation in building scalable, high-performance systems and a deep understanding of cloud infrastructure, distributed systems, and data pipelines. This role focuses on designing and optimizing backend services that support our machine learning (ML) operations and real-time personalization capabilities.

We foster a professional environment where experienced engineers collaborate to drive technical excellence, continuously improving our backend architecture and infrastructure. As a Backend Engineer, you will play a key role in building and maintaining the backend services that power our ML infrastructure, ensuring efficiency, scalability, and reliability.

Role & Responsibilities:
- Design, develop, and optimize backend services that support ML pipelines, APIs, and real-time decision-making systems.
- Architect and implement scalable and reliable data processing workflows, integrating ML models into production environments.
- Build and maintain infrastructure for efficient model deployment, monitoring, and versioning.
- Ensure high availability, performance, and security of backend services.
- Lead initiatives to improve system architecture, reduce technical debt, and enhance development processes.
- Stay up to date with the latest advancements in backend technologies, cloud computing, and distributed systems.

R-241031

We are seeking a backend engineer with a strong foundation in building scalable, high-performance systems and a deep understanding of cloud infrastructure, distributed systems, and data pipelines. This role focuses on designing and optimizing backend services that support our machine learning (ML) operations and real-time personalization capabilities.

We foster a professional environment where experienced engineers collaborate to drive technical excellence, continuously improving our backend architecture and infrastructure. As a Backend Engineer, you will play a key role in building and maintaining the backend services that power our ML infrastructure, ensuring efficiency, scalability, and reliability.

Role & Responsibilities:
Design, develop, and optimize backend services that support ML pipelines, APIs, and real-time decision-making systems.
Architect and implement scalable and reliable data processing workflows, integrating ML models into production environments.
Build and maintain infrastructure for efficient model deployment, monitoring, and versioning.
Ensure high availability, performance, and security of backend services.
Lead initiatives to improve system architecture, reduce technical debt, and enhance development processes.
Stay up to date with the latest advancements in backend technologies, cloud computing, and distributed systems.

We are looking for a DevOps Engineer to join our expanding team, responsible for cloud technologies, software development life cycle processes, and 24/7/365 production reliability. You will be promoting DevOps practices and collaborating in an engineering environment, where you will work closely with software architects, developers, and support engineers, to provide solutions to enable innovation and support our customers. What you’ll do: Identify, integrate, and adapt new cloud technologies to meet evolving needs Ensure high availability, reliability, and performance of Earnix’ services Develop and maintain CI/CD pipelines, tools, and processes Build and manage the Earnix platform and automation using Infrastructure as Code (IaC) principles Troubleshoot and resolve issues across development, testing, and production environments Document infrastructure, processes, and configurations for knowledge sharing and future reference

Position Intro:
Earnix is the premier provider of mission-critical, cloud-based intelligent decisioning across pricing, rating, underwriting, and product personalization. These fully-integrated solutions provide ultra-fast ROI and are designed to transform how global insurers and banks are run by unlocking value across all facets of the business. Earnix has been innovating for insurers and banks since 2001 with customers in over 35 countries across six continents and offices in the Americas, Europe, Asia Pacific, and Israel.

We are looking for an experienced Software Developer specializing in generative AI technologies to build scalable, intelligent cloud-native applications. The ideal candidate will have strong expertise in Python programming and PostgreSQL database management, as well as proven experience integrating generative AI models into production systems. You will play a key role in designing AI-powered microservices and ensuring our applications leverage the latest advances in generative AI responsibly and effectively.
What You'll Do: Design and implement cloud-native microservices using Python with integrated AI capabilities. Create and optimize database schemas and queries in PostgreSQL for AI application workloads. Develop and maintain RESTful APIs and microservices with generative AI integration. Build applications leveraging foundation models from various providers in the AWS ecosystem and beyond. Develop effective prompt engineering strategies for consistent, high-quality AI outputs. Create reusable components for AI model integration and management across applications. Implement efficient data processing pipelines between knowledge bases and AI models. Build and maintain CI/CD pipelines for automated testing and deployment of AI systems. Ensure responsible AI practices, including appropriate monitoring, governance, and safety measures.
 
Position Intro:
We are the premier provider of mission-critical, cloud-based intelligent decisioning across pricing, rating, underwriting, and product personalization. These fully-integrated solutions provide ultra-fast ROI and are designed to transform how global insurers and banks are run by unlocking value across all facets of the business. we have been innovating for insurers and banks since 2001 with customers in over 35 countries across six continents and offices in the Americas, Europe, Asia Pacific, and Israel.

We are looking for a highly skilled and experienced Performance Tech Lead to drive our performance engineering strategy and ensure our systems are highly scalable, reliable, and efficient.

This role is a unique opportunity to combine technical leadership, hands-on optimization, and cross-team collaboration, ensuring performance best practices are embedded across the development lifecycle.

As a Performance Tech Lead, you will define and implement performance testing frameworks, analyze system bottlenecks, and work closely with development, DevOps, and architecture teams to optimize application and infrastructure performance.

You will also provide performance as a service infrastructure, developing self-service tools and frameworks that enable development teams to independently run, analyze, and fine-tune performance tests based on their specific needs.

This role requires deep hands-on expertise, strong analytical skills, and a proactive approach to performance optimization.

Your Role & Impact:
Architect, develop, and scale performance testing infrastructure for load, stress, endurance/longevity, and scalability testing.
Provide performance as a service, building self-service performance testing frameworks that allow development teams to execute and analyze tests autonomously.
Establish and enforce performance KPIs, ensuring optimal system behavior under various workloads.
Conduct in-depth performance analysis, identifying and resolving bottlenecks in APIs, databases, agent, caching, and distributed systems.
Lead the adoption of performance best practices, embedding them into the development and CI/CD pipelines.
Provide mentorship, best practices, and technical guidance to engineering teams, ensuring a performance-first mindset.
Enhance observability and monitoring capabilities, implementing APM tools like Prometheus/Grafana.
Analyze customers incidents, proactively identifying trends and areas for performance improvement.
Advocate for a shift-left approach, ensuring performance considerations are addressed early in the SDLC.

We're seeking a Senior Full Stack Engineer with a backend orientation to take the development of high-performance, scalable, and distributed systems powering our analytics platform. You will drive the implementation of backend and frontend systems and contribute to data-driven capabilities at scale. Youll collaborate with product managers and other engineers to bring innovative features to life and deliver high-impact solutions to our customers.



RESPONSIBILITIES

Design and develop backend architecture for scalable, high-performance systems
Build a next-generation analytics web app on React
Build robust APIs and data services to power a next-generation analytics platform
Work with distributed systems, databases, and cloud infrastructure to ensure reliability and speed
Maintain and optimize backend & frontend services, pipelines, and application logic
Participate in code reviews, design discussions, and architectural planning

We are seeking a highly skilled and motivated Machine Learning Engineer to join our Data Science Engineering team. The ideal candidate will have a deep understanding of machine learning infrastructure and solutions, enabling data scientists and engineers to efficiently develop, deploy, and maintain models in production by delivering a scalable and high-quality solution. This role requires a combination of technical expertise, strong problem-solving skills, and the ability to collaborate effectively with cross-functional teams.
Key Responsibilities:
Develop and maintain machine learning infrastructure and solutions to support the efficient development, deployment, and maintenance of models in production.
Collaborate with data scientists, engineers, and subject matter experts to deliver high-quality, production-ready machine learning models.
Design and implement software architecture for machine learning solutions.
Optimize model deployment and serving using industry best practices with CPU, GPU, and external APIs.
Work with containerized environments such as Kubernetes and Docker.
Utilize AWS for cloud-based machine learning solutions.
Conduct unit testing and ensure continuous integration and continuous deployment (CI/CD) practices are followed.
Collaborate with the DevOps team to establish best practices for MLOps.
Work in a production environment and closely with data science teams to ensure seamless model deployment and maintenance.
Stay updated with the latest advancements in machine learning and related technologies.

R-236509

Were looking for someone who is able to think outside the box and come up with solutions to long-standing problems which have been impacting development productivity. Someone who has the customer in mind, be it a peer or a customer. The candidate must be enthusiastic about overcoming common-day pain points.
The main goal of this role is to solve problems and issues at the source, preferably before they even become problems, ensuring they dont roll over to other development teams and require the solutions to be re-applied everywhere.

Role:
Building and maintaining a set of libraries and tools to support infrastructure operations.
Interacting with our AWS cloud infrastructure - EKS/Kubernetes clusters, EC2 instances, CloudFront, Serverless apps & more.
Working with DevSecOps and DevOps to ensure alignment with the organizational requirements and standards.
Design, build, and maintain CI/CD pipelines, using code, configuration, build, deploy, and monitoring tools.
Documentation - everything we do must be accompanied by clear reference guides to ensure that the products are put to good use and that maintenance is easy and effective for anyone wishing to contribute.
Work closely with other developers in designing and supporting new features and services and troubleshooting problems.
Apply, integrate and improve open source tools to extend operations capabilities and efficiency.

We are seeking a skilled and passionate backend engineer to join the Core Technologies Team.

As a part of our dynamic team, you will contribute to the development of the foundation of our SaaS Platform. In this role, you'll immerse yourself in a stimulating, fast-paced environment where creativity and innovation are the driving forces behind your decisions. You will have the opportunity to collaborate with our major clients, significantly influencing our business outcomes. Your primary focus will be on constructing our next-generation cutting-edge data lake, concentrating on the creation of large-scale data pipelines.

Responsibilities:

Design and develop core systems and software infrastructures, collaborating with research, product, and open-source teams.

Engage closely with engineers, researchers, product owners, and designers to identify and solve complex cybersecurity problems and spearhead the development of a new product line.

Take complete ownership of projects, from initial definition and design to development, testing, and post-deployment.

Construct multi-tenant scalable microservices deployed as part of our SaaS product.

Operate within a CI/CD environment alongside experienced and talented engineers, utilizing state-of-the-art technologies.

Plan and execute PoCs to evaluate new technologies and products.

Thrive in an environment that fosters individual growth.