Top Python Jobs in Dublin

The AI Architect will design and implement multi-agent systems, optimizing for business logic execution and performance, while integrating advanced technologies for AI operations.

The AI Engineer will develop multi-agent workflows and production RAG systems, managing deployment and monitoring of AI solutions leveraging various tools and frameworks.

Technical Account Managers support Stripe's complex users by providing customized consultations, fostering relationships, implementing operational solutions, and creating user-facing content.

The Staff Software Engineer, Infrastructure will design and maintain core systems for AeroVect's autonomous driving platform, building robust infrastructure and CI/CD pipelines while mentoring engineers and ensuring software reliability in a cross-functional role.

The Senior Data Scientist will partner with web teams to enhance visitor journeys and lead volumes using data insights and A/B testing.

Design and implement AI-powered internal tools for GTM use cases, managing full lifecycle from data modeling to production. Collaborate closely with GTM teams to translate data into actionable insights with a focus on measurable business impact.

The Site Reliability/Core Operations Engineer manages deployment and maintenance of electronic trading systems, providing support for trading connections and optimizing functionalities under high-pressure situations.

As a Senior Privacy Engineer at DuckDuckGo, you'll lead complex privacy projects, collaborate with teams, and ensure alignment with privacy principles while mentoring other engineers.

As a Product Support Engineer, you will provide technical support for enterprise customers, troubleshoot platform issues, and enhance customer experience with the Cytora platform.

The Software Developer will create applications and solutions, focusing on data processing, visualization, and working closely with cross-functional teams to ensure high-quality data pipelines.

Work on the EOS Layer 2 and Infrastructure team developing scalable software solutions for Layer 2 protocols and EOS infrastructure, leveraging communication and teamwork skills.

Join Arista's Platform team to develop and integrate new Linux Kernel and BIOS features, troubleshoot issues, and work with CPU vendors. Take ownership of projects from definition to deployment, ensuring quality delivery.

As a Network Automation Engineer, you will develop automated test suites, maintain test cases, and ensure quality for Arista's network operating system.

The role involves training large-language models by evaluating and refining code snippets, providing feedback, and maintaining an RLHF pipeline. Candidates need strong Python skills and code review expertise.

As a Software Engineer, you'll develop backend solutions, collaborate on feature development, optimize performance, and improve software processes.

Responsible for building and scaling the platform, providing infrastructure support, managing existing services, and running experiments in a fast-paced environment.

As a Senior DevOps Engineer, you'll provide infrastructure support, manage and scale services, and utilize Infrastructure-as-Code to improve platform efficiency and reliability. Work closely with engineers to enhance product features and user experience.

The Platform Engineer will build and enhance a technology platform, focusing on DevOps and SRE principles, incident response, tooling, and automation to ensure high reliability and performance across engineering services.

As a Senior Data Engineer, you'll design scalable data pipelines, collaborate with engineers and product teams, and evolve the architecture to support growth in users and data.

Define and scale the AI platform infrastructure at Connectly to optimize conversational AI agents. Collaborate with technical teams for platform services, integration, and analytics.

Build and optimize Alpaca's algo trading platform, focusing on high-performance brokerage services while leveraging frontend and backend engineering skills.

The Finance Systems Data Analyst supports the Finance organization by ensuring data accuracy across SAP and Snowflake, optimizes data flows, automates reporting, and enhances financial decision-making.

The Finance Systems Data Analyst ensures accuracy and accessibility of financial data across SAP and Snowflake, optimizing data flows and reporting.

The role involves leading security reviews, vulnerability management, and response operations in cloud environments, collaborating with engineering teams to enhance product security.

As a Senior AI Engineer, you will architect, develop, and scale AI-powered services for our SaaS platform, collaborating with teams and ensuring quality and reliability of AI features.