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Senior Product Engineer - AI Platform Jobs

3 Job Offers

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Senior Full-Stack Software Engineer - Product Platform
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Join Make as a Senior Full-Stack Engineer in Prague. Develop core platform services using TypeScript, Docker, and microservices. Enjoy RSUs, bonus, generous vacation, and a strong L&D package in a leading no-code automation company.
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Czech Republic , Praha
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Not provided
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Sport Vision Czechia s.r.o.
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Until further notice
Senior Product Manager - Cloud Platform Engineering
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Lead product strategy for JFrog's Cloud Platform Engineering in Israel. Own the end-to-end lifecycle of critical SaaS services and infrastructure. Requires 5+ years of PM experience with a strong technical background in cloud and scaling large systems. Collaborate cross-functionally in a high-gro...
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Israel , Netanya/Tel Aviv
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Not provided
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JFrog
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Until further notice
Senior Software Engineer, Product Platform
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Join our Product Platform team in San Francisco as a Senior Software Engineer. You will lead initiatives to build scalable IAM and billing systems using Python/Django. We seek an expert with 6+ years' experience in high-scale systems and distributed architecture. This role offers equity, competit...
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United States , San Francisco
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190000.00 - 280000.00 USD / Year
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Sentry
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Until further notice
Explore high-impact Senior Product Engineer - AI Platform jobs and discover a career at the forefront of technological innovation. This senior-level role sits at the critical intersection of software engineering, product strategy, and artificial intelligence, focused on building the robust platforms that power intelligent applications. Professionals in these positions are responsible for the end-to-end development and scalability of core AI infrastructure, transforming cutting-edge research into reliable, user-centric products. A Senior Product Engineer on an AI platform typically owns the design, implementation, and optimization of scalable backend systems, APIs, and services that enable machine learning workflows. Common responsibilities include architecting data pipelines for model training and inference, developing low-latency serving infrastructure, and ensuring platform reliability, security, and observability. They collaborate closely with ML researchers, data scientists, and product managers to translate complex requirements into elegant engineering solutions, making advanced AI capabilities accessible to other developers and end-users. A key part of the role involves making strategic technical decisions that balance innovation with long-term maintainability and performance. To excel in Senior Product Engineer - AI Platform jobs, candidates generally require a strong foundation in distributed systems, cloud computing (AWS, GCP, Azure), and containerization technologies like Kubernetes and Docker. Proficiency in languages such as Python, Go, or Java is essential, alongside deep experience with database design and large-scale data processing frameworks. A solid understanding of machine learning concepts, model lifecycle management (MLOps), and the practical challenges of deploying AI models is a significant advantage. Beyond technical prowess, successful professionals demonstrate strong product sense, the ability to mentor junior engineers, and excellent cross-functional communication skills to align technical execution with business goals. These roles demand a proactive problem-solver who can navigate ambiguity and drive projects from conception to production. If you are passionate about building the foundational technology that will define the next generation of AI applications, exploring Senior Product Engineer - AI Platform jobs is your next strategic career move.

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