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The role involves owning end-to-end coding data projects to teach frontier AI models how to code. This includes designing agentic training workflows, evaluation rubrics, and technical environments that mirror real-world software engineering.
Own end-to-end coding data projects to train frontier AI models, designing agentic workflows and evaluation schemes. Collaborate with clients and internal teams to build technical environments and rubrics that reflect real-world software engineering.
Drive the end-to-end delivery of complex AI/ML initiatives and the AI-Driven SDLC (AIDLC) across engineering, product, and data teams. Establish team processes, facilitate agile ceremonies, and manage project plans to ensure high-quality outcomes for agentic platforms.
Design, implement, and scale backend systems that process large volumes of data for production-critical environments. Collaborate with data science and engineering teams to build the next generation of Cint products using a domain-based architecture.
Design, build, and maintain scalable data pipelines and architectures to support reporting and analytics across product lines. Lead technical design reviews and mentor junior to mid-level engineers to drive a culture of technical quality.
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Lead the design and implementation of consumer-facing web applications using Next.js and React within a TypeScript monorepo. Own the design system, ensure high performance and accessibility, and manage CI/CD deployments via AWS Amplify.
Design and develop scalable, high-quality front-end applications using Angular and TypeScript for a healthcare technology platform. Collaborate with backend engineers to integrate RESTful APIs and mentor peers on front-end best practices.
Design and build production-grade full stack applications using React, Node.js, and AWS to power secure web and mobile experiences. Collaborate with Product and Design teams to implement scalable backend services and event-driven architectures.
Design and deploy AI-powered autonomous workflows and agentic systems to automate manual business processes. Implement secure multi-step AI pipelines and integrate them with enterprise systems like ServiceNow and Okta.
Build, test, and support key components of a next-generation insurance platform, including APIs, data pipelines, and self-service portals. Collaborate with product and architecture teams to translate requirements into clean, production-ready code using AI-assisted tools.
Design, build, and operate the cloud infrastructure and internal tooling to empower developers throughout the software development lifecycle. Monitor application performance, improve scalability and security, and participate in an on-call rotation for production incidents.
Ideate and develop machine learning and statistical models to drive core algorithms for sports betting products. Collaborate with data engineering and product teams to deploy models and improve performance through rigorous experimentation.
Lead a development team in architecting scalable software and React applications integrated with Java Springboot and RFID hardware. Collaborate with Army stakeholders to deliver mission-critical logistics and asset visibility solutions within secure DoD environments.
The role is responsible for identifying and delivering AI-powered workflow solutions to improve business processes across the organization. This involves prototyping AI tools, partnering with cross-functional teams for production deployment, and measuring business impact.
Drive end-to-end software engineering security hygiene by identifying and remediating vulnerabilities across AWS and Kubernetes environments. Collaborate with DevOps and Engineering teams to integrate security guardrails into CI/CD pipelines and the broader development lifecycle.
Design scalable multi-domain enterprise architecture patterns and implement developer workflows to enhance the Developer Experience. Automate CI/CD pipelines and establish secure DevSecOps practices and architecture standards across the development lifecycle.
Design, build, and scale cloud-based data platforms and pipelines to support critical business insights. Provide technical leadership by mentoring engineers, driving architectural direction, and collaborating with cross-functional stakeholders.
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Design and own high-throughput distributed data pipelines and platform infrastructure from concept through production. Decompose complex initiatives into executable plans and mentor junior engineers while partnering with leadership on technical roadmaps.
Lead the data engineering organization to design, build, and operate scalable data pipelines and curated data products. Establish the technical strategy and roadmap to enable AI-driven insights and data-driven decision making across the company.
Design and build advanced Chaos Engineering tooling to improve internet reliability. Collaborate with product managers and stakeholders to solve complex technical problems and mentor teammates.
Lead end-to-end hiring for software engineering functions, including backend, mobile, and infrastructure. Focus on building high-quality talent pipelines from scratch and redesigning interview processes to raise the hiring bar.
Lead end-to-end hiring for various software engineering functions, from intake to closing. Focus on building high-quality talent pipelines and redesigning interview processes to raise the hiring bar.
Lead end-to-end hiring for software engineering functions, including backend, mobile, desktop, and infrastructure. Focus on building talent pipelines from scratch and redesigning interview processes to raise the hiring bar.
Lead the end-to-end design and delivery of scalable AI/ML systems and agentic architectures. Establish engineering standards and mentor junior engineers while aligning technical AI strategy with business outcomes.
Lead and grow a high-performing team of software engineers while driving the execution of complex product initiatives. Balance technical stewardship and architectural guidance with people management and career coaching.
As a Principal AI Engineer, you will build and evolve internal software platforms that use AI to support complex development workflows. You will create reusable tools and systems that help engineering teams deliver software with greater speed, quality, and confidence.
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Design and build production software using modern AI capabilities to improve enterprise workflows for dealers and consumers. Develop reusable engineering building blocks and platform capabilities to support automation, document intelligence, and intelligent assistants.
Drive new business across North America by developing strategic relationships with enterprise technology leaders. Manage the full sales cycle from prospecting through contract execution to expand the company's U.S. market presence.
Build internal GTM products and AI-powered workflows to optimize operations for Sales, Marketing, and Revenue Operations teams. Develop full-stack applications and data pipelines to reduce manual work and improve pipeline visibility.
Build and ship full-stack features for an AI-native real estate platform, owning features from the database to the UI. Collaborate with cross-functional teams to translate customer needs into production-ready code using AI-first workflows.
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