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Senior engineer building AI-powered healthcare systems, integrating EHRs and devices while leading product discovery and scaling proofs-of-concept into production.
Leads AI and analytics product strategy for internal tools, defining roadmaps and collaborating with UX and engineering to deliver scalable solutions for healthcare workflows.
The Software Engineer on the Core Data team will design and implement high-performance systems for capturing, storing, and retrieving data from autonomous vehicles using modern C++. This role involves solving complex challenges related to real-time data constraints and multi-host architectures.
The Data Scientist will build and maintain enterprise-grade AI platform components, focusing on MLOps, LLM orchestration, and infrastructure provisioning using tools like Kubernetes, Terraform, and AWS services. They are responsible for the full lifecycle of model deployment, monitoring, and optimization within the bank's data office.
Designs and implements cloud-based data and AI solutions using Databricks, focusing on scalable, secure architectures for data engineering, analytics, and AI.
Build AI-driven cloud apps in Sydney using C#/.NET, Azure, and modern front-end stacks, designing RESTful APIs and microservices.
Build and lead the full tech stack for a healthcare AI product serving elderly Australians, scaling from founding engineer to CTO while owning architecture, mobile (React Native), and voice/conversational AI.
Senior Full Stack Engineer owning end-to-end features on an AI-led hiring platform, building with React/TypeScript on the frontend and backend services on AWS, while integrating NLP and generative AI capabilities.
Senior Full-Stack Engineer at an AI startup driving end-to-end product development—from architecture and coding to deployment and ops—using React/Vue/Angular, Node.js/NestJS, Python/Go, AWS, and AI-assisted dev tools.
Builds and maintains scalable full-stack applications, microservices, and APIs for a global tech company focused on cloud, edge, and AI-driven platforms.
Develops and owns an agentic developer experience platform for Vapi’s voice AI, integrating sandboxes, CI/CD, and validation systems to accelerate real-time voice AI workflows and reduce call resolution time by 10x.
Architect and optimize enterprise systems integrations across finance, supply chain, and billing platforms (NetSuite, Coupa, Stripe, Chargebee) using iPaaS tools and AI-driven automation, on-site 4 days/week in SF or San Jose.
The Product Owner drives the full product lifecycle—from discovery and scoping to launch, measurement, and iteration—balancing customer needs, technical constraints, and business impact. They use data, KPIs, and cross-functional collaboration to prioritize, ship quickly, and continuously improve AI-native products.
AI Engineer building and operating autonomous agents and evaluation frameworks for Anthropic's go-to-market workflows using Python/TypeScript, LLMs, MCP, and SQL.
Develops and scales automated frameworks for Android XR app compatibility, integrating AI/ML (LLMs, computer vision) to detect UI/rendering issues across physical devices, emulators, and cloud environments. Works with Android XR teams and third-party developers to improve XR app experiences.
Design and build advanced agentic AI systems (self-improving agents) for a VC-backed startup whose buyer-side AI platform runs inside major financial institutions, using Python/TypeScript with TensorFlow or PyTorch.
Co-op ML Software Engineer building end-to-end AI solutions from data pre-processing through deployment, working on reinforcement learning and computer vision projects.
Develops AI/ML solutions for fintech products, prototyping generative AI, NLP, and time-series models while collaborating with business teams to integrate research into scalable software.
Senior II Backend Developer in R&D's Backend Foundation building foundational tools, reference libraries, and operating key backend services to enable scalable software delivery and improve platform reliability and developer experience.
Build and maintain the infrastructure powering Airbyte's data replication platform, ensuring reliability and observability for millions of sync jobs across AWS and GCP while integrating AI tools to automate operations.
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