AI Developer 13 applicants
Support the development of applications using low-code/no-code and traditional development methods. Assist with the design, testing, and automation of solutions to improve project functionality.
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Support the development of applications using low-code/no-code and traditional development methods. Assist with the design, testing, and automation of solutions to improve project functionality.
Manage and mentor a team of software engineers within the API Engineering group to drive the core services of the investor application. Set technical direction, oversee delivery timelines, and ensure high production code quality through architecture and code reviews.
Design and maintain Python services for the ingestion, transformation, and distribution of real-time sports data. Collaborate with cross-functional teams to ensure data correctness, reliability, and observability across the platform.
The role focuses on analyzing RFPs and client briefs to design high-level technical architectures across various domains including AI, RPA, and cloud infrastructure. You will lead technical discovery sessions and translate business requirements into scalable system designs for proposals.
Apply data science to complex product and business problems by evaluating performance and generating actionable insights. Establish analytical processes, monitoring frameworks, and automated ETL workflows to maintain product quality.
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Lead the design and scaling of production-grade computer vision systems for biometrics, including face recognition and attribute detection. Own the end-to-end ML pipeline from data ingestion and curation to low-latency deployment on AWS.
Lead the frontend technical direction for the Trellis design system to modernize HubSpot's UI and customer experience. Develop internal tooling, migration pipelines, and accessibility models while mentoring senior engineers and aligning with product roadmaps.
Provide world-class technical support for B2B integration products, resolving complex issues across various platforms and databases. Create internal and external knowledge base documentation and participate in periodic weekend on-call shifts.
Provide high-level technical support and problem resolution for customers' network environments and Check Point products. Manage high-value accounts and collaborate with internal teams to resolve complex technical escalations.
Lead the design and development of AI-first web and mobile applications using agentic workflow architectures. Define technical direction, architectural patterns, and ensure the delivery of scalable, production-grade AI systems.
Own the delivery and deployment of AI agents for consumer brands from kick-off to sustained performance. Diagnose operational gaps in helpdesk configurations and feed patterns back to the product team to improve the platform.
Lead and mentor a team of developers while designing and optimizing Java and Angular applications. Ensure technical quality through code reviews and handle the most complex development tasks across the full stack.
Lead the design and technical delivery of scalable MDM and PIM solutions to ensure data quality and AI-readiness for clients. Partner with stakeholders to create solution blueprints and mentor technical teams on implementation best practices.
The role is responsible for the governance, optimization, and continuous improvement of SharePoint Online and Microsoft 365 collaboration services. It involves building scalable business applications, automating workflows, and implementing custom integrations to improve productivity and employee experience.
Lead the design and evolution of the next-generation data compute environment on AWS, focusing on AI-ready foundations like semantic layers and feature stores. Provide technical leadership and set standards for batch, streaming, and ML workloads while mentoring engineers and managing vendor relationships.
Partner with the U.S. Sales Team to accelerate growth by providing technical expertise and product demonstrations to network operators and hyperscalers. Act as a technical interface between customers and the Product Management Team to influence product roadmaps and provide competitive intelligence.
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.
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Design and implement real-time fraud decisioning services and APIs to extend Affirm's fraud systems into international markets. Lead engineers through ambiguity to deliver quarterly goals and maintain system availability through monitoring and on-call rotations.
Design and implement real-time fraud decisioning services and APIs to extend Affirm's fraud protection to international markets. Lead the delivery of quarterly goals and collaborate with cross-functional teams to build scalable, repeatable paths for new country launches.
Provide Tier 1 and 2 technical support by triaging issues and performing root-cause analysis using SQL and code review. Collaborate with engineering teams to escalate complex defects and document resolutions in the knowledge base.
The role involves owning and maintaining the C# client library and developing high-performance server applications in C++. Responsibilities include writing message parsers for market data feeds and optimizing the codebase for high throughput and low latency.
Design and maintain high-performance server applications and message parsers using C++, C, and Rust. Optimize codebase for high throughput and low latency while implementing tools for petabyte-scale data processing.
Design and maintain scalable MLOps infrastructure and CI/CD pipelines for machine learning and Generative AI applications. Monitor production ML systems and manage the end-to-end model lifecycle including deployment and governance.
Support the creation and maintenance of automation and optimization workflows across various business areas using AI and no-code tools. Develop internal dashboards and automate repetitive processes to increase overall company efficiency.
Acts as a strategic advisor to help customers adopt and optimize AI-powered customer experience and operational solutions. Leads consulting workstreams to drive business transformation, value realization, and measurable operational improvements.
Design, build, and maintain full-stack features using Node.js and C# for high-impact, large-scale systems. Develop cloud-native solutions on AWS and manage infrastructure as code and CI/CD pipelines.
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Lead the architecture and implementation of Veeva PromoMats and integrate commercial and medical platforms with Salesforce CRM. Design scalable, compliant solutions for promotional content management and MLR review while serving as the primary technical liaison across multiple departments.
Provide technical leadership for the implementation, integration, and governance of Veeva Vault applications across Clinical, Regulatory, and Quality operations. Translate business and regulatory requirements into scalable, compliant solution designs while overseeing system enhancements and vendor partnerships.
Collaborate with multidisciplinary teams to produce high-quality site, stormwater, grading, and utility plans for K12 and Higher Education projects. Coordinate with local agencies to acquire necessary permits and communicate project designs to clients and construction managers.
Define and own the Enterprise Scheduling solution architecture, including functional design, data structures, and system behavior. Collaborate with cross-functional teams to deliver end-to-end customer projects and provide technical oversight to consultants.
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