AI Engineer - Platform, Warsaw

📋 Description

• • Join hyperexponential (hx) as an AI Engineer on our Platform team in Warsaw, a pivotal role in shaping the future of the $7 trillion insurance industry. You will be instrumental in building the AI-powered platform that underpins critical financial decisions, from space rocket launches to autonomous vehicle development and disaster recovery, by enabling insurers to price and manage risk with unprecedented speed and intelligence. This is an opportunity to move beyond outdated tools and contribute to a cutting-edge solution that integrates data, AI, and human expertise, empowering insurers to operate faster, smarter, and with greater confidence.
• • As an AI Engineer on the AI Platform team, your day-to-day responsibilities will be diverse and impactful. You will be responsible for designing, building, and operating scalable AI infrastructure specifically tailored for Large Language Model (LLM) inference, sophisticated prompt management, and robust evaluation pipelines. These systems will directly support billions in premium flow, ensuring the reliability and efficiency of our AI services. A key aspect of your role will involve building self-service tools, Software Development Kits (SDKs), and Application Programming Interfaces (APIs). These resources are designed to empower our product teams, significantly accelerating their journey from initial prototype to production-ready AI solutions, aiming for a 30% reduction in development time. You will also play a crucial role in instrumenting production AI/ML workloads, implementing standardized logging, tracing, and evaluation metrics. The goal here is to achieve 100% observability coverage for all deployed models, providing deep insights into their performance and behavior. Furthermore, you will focus on optimizing AI compute costs by implementing intelligent routing, caching mechanisms, and provider optimization strategies through our LLM gateway, with a target of reducing these costs by up to 25%. Driving the adoption of shared platform services, such as the LLM gateway, evaluation frameworks, and monitoring tools, will be essential to replace bespoke, less efficient solutions and increase platform utilization across new AI features. Finally, you will champion the developer experience by delivering comprehensive documentation and providing responsive support, aiming to enhance internal customer satisfaction and streamline AI development workflows.
• • The AI Platform team at hx is at the forefront of innovation, making AI central to how we build software and drive decisions across the entire company. We are responsible for the foundational systems that enable the training, deployment, evaluation, and safe operation of AI at scale. This includes everything from model serving and data pipelines to observability and compute orchestration. Our work is highly collaborative, involving close partnerships with product and research teams to translate rapid experimentation into reliable, cost-efficient, and developer-friendly production systems. We pride ourselves on fostering an environment where impact is driven by the challenges you tackle and the discipline you apply, surrounded by peers who will push you to achieve your best work.
• • In this role, you will gain invaluable experience in architecting and managing enterprise-grade AI infrastructure, particularly focusing on LLMs and generative AI applications within a high-stakes industry. You will have the opportunity to learn and implement advanced techniques in MLOps, including scalable model serving, robust monitoring, and efficient cost optimization strategies. By building self-service tools and APIs, you will directly contribute to improving developer productivity and accelerating innovation cycles. This position offers a unique chance to deepen your expertise in AI safety and reliability at scale, ensuring that critical decisions made by our customers are supported by trustworthy AI systems. You will also develop strong cross-functional collaboration skills, working closely with product managers, researchers, and other engineering teams to deliver impactful AI solutions that redefine the insurance landscape.
• • The AI Platform team is dedicated to enabling the broader organization to leverage AI effectively and safely. We are building the foundational technology that allows for rapid iteration and deployment of AI models, ensuring they meet stringent requirements for performance, reliability, and cost-efficiency. Our work directly impacts the company's ability to innovate and deliver cutting-edge solutions to the insurance market. We are a team that values technical excellence, collaborative problem-solving, and a commitment to continuous learning and improvement. We believe in empowering our team members with the tools, resources, and autonomy needed to tackle complex challenges and make a significant impact.
• • You will be instrumental in developing and operating the core infrastructure that powers our AI products, ensuring they are scalable, reliable, and performant. This involves working with state-of-the-art technologies in machine learning, distributed systems, and cloud computing. Your contributions will directly influence the speed at which new AI features are developed and deployed, enabling our customers to gain a competitive edge. The role provides a unique opportunity to work on AI applications that have a tangible impact on multi-billion dollar industries, solving complex problems that have traditionally been managed with legacy systems. You will be part of a fast-growing, well-funded company with a strong engineering culture, offering exceptional opportunities for personal and professional growth as we build something truly remarkable together.
• • The AI Engineer - Platform role is designed for individuals who are passionate about building robust and scalable AI systems. You will be at the heart of our AI strategy, contributing to the development of infrastructure that supports advanced machine learning models and generative AI applications. This includes designing and implementing solutions for model serving, data processing, and performance monitoring. You will collaborate with talented engineers and data scientists to translate research into production-ready systems, ensuring high availability and efficiency. The role demands a proactive approach to problem-solving, a commitment to best practices in software engineering and MLOps, and a desire to continuously learn and adapt in a rapidly evolving field. Your work will directly contribute to the success of our AI products and the overall mission of hyperexponential to transform the insurance industry.
• • You will be responsible for the end-to-end lifecycle of AI platform components, from initial design and development to deployment, monitoring, and ongoing optimization. This includes managing infrastructure as code, implementing CI/CD pipelines for AI models, and ensuring the security and compliance of our AI systems. You will also be involved in evaluating and integrating new technologies and tools to enhance our AI platform capabilities. The role requires a strong understanding of distributed systems, cloud infrastructure (e.g., AWS, GCP, Azure), and containerization technologies (e.g., Docker, Kubernetes). Your ability to troubleshoot complex issues and provide timely solutions will be critical to maintaining the operational integrity of our AI services. This is an opportunity to make a significant impact by building the foundational technology that enables groundbreaking AI applications.
• • The AI Platform team operates at the intersection of cutting-edge AI research and practical, large-scale software engineering. We are building systems that enable the safe and efficient deployment of AI in a highly regulated industry. This involves tackling challenging problems related to model interpretability, bias detection, and performance monitoring. You will have the opportunity to work with a diverse set of AI technologies and contribute to the development of best practices for AI governance and responsible AI deployment. Our team culture emphasizes collaboration, knowledge sharing, and a commitment to continuous improvement. We believe in empowering our engineers with the autonomy to make technical decisions and the support to grow their skills and careers.
• • As an AI Engineer - Platform, you will be a key contributor to the development and maintenance of our AI infrastructure. This includes designing and implementing scalable solutions for training, deploying, and monitoring machine learning models. You will work closely with data scientists and product managers to understand their needs and translate them into robust technical solutions. Your responsibilities will encompass managing cloud resources, automating deployment processes, and ensuring the reliability and performance of our AI services. This role offers a unique opportunity to gain hands-on experience with a wide range of AI technologies and contribute to a product that is revolutionizing a major global industry. You will be part of a dynamic and innovative team, where your contributions will be highly valued and recognized.
• • The AI Platform team is responsible for the underlying technology that enables hyperexponential to deliver advanced AI solutions to its clients. We focus on building scalable, reliable, and efficient systems for managing the entire AI lifecycle, from data ingestion and model training to deployment and monitoring. Our work is critical to ensuring that our AI products can handle the demands of enterprise-level applications and deliver consistent value. We are a team of passionate engineers who are dedicated to pushing the boundaries of what's possible with AI and cloud technologies. We foster a culture of innovation, collaboration, and continuous learning, providing our team members with opportunities to grow their expertise and make a significant impact.
• • In this role, you will be instrumental in designing, building, and operating the scalable AI infrastructure that powers our LLM inference, prompt management, and evaluation pipelines. You will develop self-service tools, SDKs, and APIs to accelerate AI/ML development cycles for product teams, aiming to reduce time-to-production by 30%. You will implement comprehensive logging, tracing, and evaluation metrics for AI/ML workloads, achieving 100% observability coverage. Additionally, you will optimize AI compute costs through intelligent routing and caching via the LLM gateway, targeting up to a 25% reduction. You will also drive the adoption of shared platform services and champion developer experience through documentation and support, ensuring internal customer satisfaction and increasing platform adoption across new AI features.
• • The AI Platform team at hx is the engine behind our AI innovation. We build and maintain the shared systems that allow teams across the company to train, deploy, evaluate, and monitor AI safely and at scale. This includes model serving, data pipelines, observability tools, and compute orchestration. We work closely with product and research teams to turn cutting-edge experimentation into reliable, cost-efficient, and developer-friendly production systems. Our success is measured by faster releases, improved model performance, and AI products that customers can trust with their most critical decisions. We are a team that values technical excellence, collaboration, and a drive for measurable impact.
• • You will gain hands-on experience with cutting-edge AI technologies and MLOps practices, working on systems that handle billions in premium flow. This role offers the chance to significantly improve developer productivity by building self-service tools and APIs, and to directly impact cost efficiency by optimizing AI compute resources. You will develop deep expertise in observability and monitoring for AI/ML workloads, ensuring the reliability and performance of production systems. Furthermore, you will contribute to the strategic adoption of platform services, shaping the future of AI development at hx. This position provides exceptional opportunities for personal development and growth within a rapidly scaling, well-funded company at the forefront of AI in the insurance industry.