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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.
The AI Engineer & Trainer will support staff in a financial services firm by debugging AI-generated logic, configuring custom GPTs, and building agentic workflows. The role also involves developing a usage and cost measurement tool to track AI adoption across the organization.
Lead a new Site Reliability and Security Engineering team in Dublin, ensuring the reliability, security, and scalability of Klaviyo’s global SaaS marketing platform and AI services.
Lead the design and automation of Klaviyo’s risk governance program, quantifying cyber and AI risks in financial terms and ensuring ISO 42001 readiness while partnering with engineering and compliance teams.
Lead AI-powered automation projects for internal tools, integrating systems like HRIS and Salesforce to streamline workflows and boost employee productivity.
Lead the design and delivery of AI-powered internal platforms and automation at Klaviyo, using Python, React, and AWS to scale engineering productivity and decision-making across teams.
Design and run AI-first onboarding and enablement programs that help every engineer at Klaviyo move faster with more confidence, using AI tools and engineering workflows.
Design and refine the developer experience for QuEra's quantum-computing software stack, shaping APIs, error handling, and tooling while collaborating with Rust-based compiler and Python SDK teams.
The internship involves working with Large Language Models (LLM) and AI agents, focusing on fintech applications within Sberbank. Daily tasks include developing and testing AI-driven solutions, contributing to NLP projects, and gaining hands-on experience in AI/ML tools.
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