Senior AI Engineer
Design, build, and operate agentic AI systems including prompt engineering, tool integration, and evaluation harnesses. Own the full model lifecycle from shipping new AI products to monitoring quality and cost in production.
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Design, build, and operate agentic AI systems including prompt engineering, tool integration, and evaluation harnesses. Own the full model lifecycle from shipping new AI products to monitoring quality and cost in production.
Develop and evolve front-end applications using Angular and TypeScript while implementing Micro Front-end architectures. Collaborate with multidisciplinary teams in Agile and DevOps environments to ensure application quality, performance, and security.
Develop and maintain iOS applications using Swift, implementing responsive interfaces with UIKit and SwiftUI. Responsible for API integrations, technical documentation, and optimizing application performance across Apple devices.
Architect high-performance data models in SAP HANA 2.0 and implement robust ETL/ELT pipelines using SAP Data Services. Orchestrate the migration of enterprise data from S/4HANA to Google BigQuery for scalable real-time analytics.
Design, build, and maintain scalable data pipelines and lake architectures using platforms like Databricks and Snowflake. Ensure data quality, governance, and performance optimization while mentoring junior team members.
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Responsible for designing, implementing, and maintaining secure custodial systems for digital assets, smart contracts, and banking rails. The role involves leading medium-to-large cross-functional projects and mentoring other engineers to ensure high code quality and system resilience.
Design and execute tailored technical solutions and full-scale integrations for strategic partners. Collaborate with customer engineers and executives to optimize the use of ElevenLabs' AI technologies.
Design and execute tailored technical solutions and full-scale integrations for strategic partners. Collaborate with customer engineers and executives to optimize the use of ElevenLabs' AI technologies.
Act as a security architect for public applications on AWS, defining standards for edge security, identity, and resilience. Integrate security into the SDLC and DevOps pipelines while fostering a culture of security champions within development teams.
Organize, collect, and process large volumes of data using ETL tools to translate business objectives into information management strategies. Maintain data pipelines, ensure access security, and create dashboards to expose key metrics.
Develop and maintain scalable full-stack applications and backend services using Node.js and React. Optimize application performance and reliability while mentoring other engineers in a distributed team environment.
The role involves translating customer needs and workflow gaps into structured engineering requirements and validating features through end-to-end inspection workflows. You will coordinate release readiness across teams and document product behavior, risks, and release notes.
Lead the implementation of a comprehensive test automation strategy leveraging AI across the entire testing pyramid. Collaborate with product engineering to build testable systems and integrate automated tests into CI/CD pipelines.
Develop and evolve internal Platform Services products to simplify provisioning and accelerate software delivery. Design and maintain backend APIs and automations using Go, Java, and Python while ensuring scalability and quality.
Lead and inspire software development teams to create innovative backend solutions using Java. Responsible for technical guidance of the squad, software architecture design, and ensuring scalability and code quality.
Ensure system availability, resilience, and scalability by managing cloud architecture and microservices. Collaborate with IT and business teams to maintain secure and efficient infrastructure on AWS.
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Lead a multi-disciplinary squad of data scientists and engineers to build 'People Products' that drive high performance. Translate complex workforce data into strategic insights and AI-driven tools to improve decision-making across global operations.
Lead and inspire software development teams by collaborating with multidisciplinary groups to design and plan innovative solutions. Oversee the full software development lifecycle, ensuring the implementation of secure, scalable, and resilient architectures while promoting best practices through code reviews and mentoring.
Analyze customer behavior and product performance to transform complex data into actionable business insights. Develop dashboards, reports, and data models to support strategic initiatives across cross-functional teams.
Design, build, and deploy scalable AI-powered solutions and production-ready applications to deliver business value. Own initiatives from concept through deployment, ensuring security, reliability, and alignment with business objectives.
The AI Engineer is responsible for developing and delivering scalable, production-ready AI solutions to solve core business problems. This includes owning initiatives end-to-end and collaborating with product and engineering teams to ensure measurable business impact.
Lead the optimization of new user onboarding and conversion rates through personalized marketing and targeted engagement strategies. Develop a comprehensive user lifecycle management system focusing on retention, repeat purchases, and organic growth via referral mechanisms.
Lead strategic initiatives within the Salesforce ecosystem, specifically focusing on Agentforce. The role involves coordinating multidisciplinary teams and acting as the primary link between business, technology, and vendors to ensure quality and timely delivery.
Design and maintain scalable ETL/ELT pipelines and layered Data Lake architectures on AWS. Implement AI and ML solutions for data quality, entity resolution, and automated attribute extraction.
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Participate in a four-day hands-on bootcamp to build practical skills in AI-powered commerce and customer engagement. Complete practical challenges and collaborate with team members to compete for prizes and potential future roles.
Act as a technical evangelist to drive the adoption of enterprise security products through proof-of-concepts and pre-sales activities. Collaborate with customers to design agile, identity-centric security models and influence product roadmaps based on business requirements.
Build and optimize AI-powered workflows and scalable automation systems to improve operational efficiency. Develop and maintain integrations across various SaaS platforms and manage e-commerce web properties.
Design and develop technical learning content, including curriculum structures and practical projects for Data and AI programs. Review and improve existing materials to ensure technical accuracy and alignment with current industry best practices.
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