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Manage supply chain planning and execution for complex defense and robotics programs at Shield AI, coordinating across Procurement, Engineering, and Manufacturing using ERP and analytics tools.
Builds and maintains core SaaS platform APIs (FastAPI) and data models (SQLAlchemy) for Nexla’s AI-driven data integration tooling, focusing on scalability, reliability, and multi-tenancy. Owns end-to-end features, debugging production issues, and setting operational guardrails.
The Agentic AI Engineer will build and maintain the shared infrastructure, deployment pipelines, and observability tools for the company's GTM AI agent program. This role involves shipping production services on Google Cloud and integrating various third-party marketing and sales platforms.
Lead Gainsight’s Product Security team to embed secure-by-design principles, threat modeling, and security reviews into its AI-powered SaaS platform, driving secure SDLC and API security across microservices and Kubernetes.
Produce paid ad creative (static, motion, UGC-style) for Meta, Google, and TikTok while owning the end-to-end creative testing pipeline, using Recraft's AI image-generation tool as the primary production software.
The Staff SRE for Google Home will lead reliability, performance, and scalability efforts for Google's smart home infrastructure, focusing on distributed systems, ML model serving, and automation. This role involves architectural oversight and cross-functional collaboration to ensure high-availability services for millions of connected devices.
The Senior UX Engineer will build high-fidelity prototypes, data visualizations, and front-end tools to help define Google's agentic AI ecosystem. This role bridges design and engineering by translating complex AI concepts into interactive product surfaces and dashboards.
The Senior Product Manager for Google Distributed Cloud (GDC) will define the strategy and roadmap for AI-powered operations. This role involves collaborating with cross-functional teams and customers to build and scale enterprise-grade cloud infrastructure solutions.
The Staff Software Engineer for Health SRE will design, scale, and maintain reliable infrastructure for Google Health products, including AI-powered tools and wearable tech. The role involves optimizing distributed systems, automating service lifecycles, and leading cross-functional technical initiatives.
Own the AI-driven features and workflow automation roadmap for a SaaS platform serving 45,000+ tech solution providers, collaborating with engineering and data teams to deliver intelligent solutions.
Lead Solutions Consultant for APJ at DeepL, based in Tokyo, advises enterprise clients on AI translation, APIs, and real-time voice solutions. Builds demos, prototypes, and frameworks to drive adoption and shape product roadmaps by bridging technical and business needs.
Validates GPU/HPC server hardware in a manufacturing/test lab, ensuring quality and performance for a sovereign cloud infrastructure provider. Core work includes hardware bring-up, stress testing, and diagnosing firmware/driver issues in on-site factory and lab environments.
The Principal Full-Stack Developer will lead the technical implementation of an authorization layer and global registration features using Java and React. This role involves overseeing distributed systems and compliance initiatives within a hybrid environment in Mexico City.
The Senior Back-End Engineer will design and maintain a reliable Kotlin and Spring Boot runtime for a no-code workflow platform, utilizing Temporal.io to manage complex, AI-integrated workflow execution.
Builds AI-powered healthcare analytics: statistical models for survey data, LLM pipelines for open-ended responses, and interactive web apps that turn raw data into actionable insights.
Build and maintain internal Python tools and automation for a data-annotation company, using REST APIs, Flask/Django/FastAPI, Celery, Redis, and cloud platforms.
Build enterprise-grade permissions, audit, and governance systems for Databricks’ new CustomerLake platform, enabling large orgs to securely adopt and scale customer-data applications.
Pre-sales engineer at a cybersecurity and AI-driven investigative analytics company, designing solutions and leading customer engagements with intelligence, telecom, and big-data tech.
As a Forward Deployed Engineer, you will lead the end-to-end delivery of AI-powered products for enterprise clients, bridging the gap between business needs and technical implementation. The role requires deep full-stack expertise and a commitment to an AI-native development workflow using LLMs and generative AI.
This senior backend role involves building the core of an AI operating system using Java, Go, and Python. The position focuses on LLM integration, agent orchestration, and retrieval infrastructure within a distributed systems environment on AWS.
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