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Staff engineer on Google's Enterprise Data Platform team, architecting semantic engines, knowledge graphs, and agentic endpoints that power autonomous AI workflows across the company using large-scale data systems and C++, Java, Python, or Go.
Works on Google Search Intelligence as a Staff Software Engineer, designing and owning technical tests, collaborating with AI/ML teams, and ensuring scalability of search features using ML infrastructure and generative AI tools.
An AI Designer evaluates and refines an AI-powered image generation tool by testing it on real-world design projects (e.g., marketing, branding, editorial). They assess output quality, document gaps, and guide model improvements based on professional design standards and user needs.
We are looking for a Senior AI/ML Engineer to join our engineering team and work on challenging AI/ML projects for international clients. This role is a great fit for an experienced engineer who combines strong Machine…
The Senior AI Forward Deployed Engineer will lead enterprise AI transformation initiatives by designing and building scalable, production-ready AI-enabled workflows and agent-based solutions. This role involves embedding with business teams to translate complex processes into automated, AI-driven systems using Python, Java, and modern cloud-native architectures.
Backend/ML Engineer at LG Electronics responsible for building and iterating on backend APIs, data pipelines, and integrations for AI/ML-powered proof-of-concept projects across various product domains. Core technologies include LLMs, embedding models, vision, and speech technologies, with experience in FastAPI/Flask, SQL, and non-relational data stores.
Staff Software Engineer on Google Cloud Security's Defense and Consulting Engineering team, leading AI/ML integration into security systems and Agentic SOC workflows using ML infrastructure, generative AI/LLMs, and distributed systems.
Full Stack Engineer building enterprise applications infused with Generative and Agentic AI across the full SDLC — spanning React/Angular/Java/.NET/Node.js/Python stacks, cloud-native microservices, and LLM/RAG/agent integrations.
The Engineering Director will lead software engineering teams to modernize enterprise payment platforms while championing the integration of Generative AI and machine learning into the development lifecycle. The role focuses on defining technical strategy, improving delivery maturity, and leveraging AI-assisted coding tools to enhance developer productivity.
Overview With more than 45,000 employees and partners worldwide, the Customer Experience and Success (CE&S) organization is on a mission to empower customers to accelerate business value through differentiated…
Build and refine ML models to detect cheating and abnormal behavior in Krafton’s games using large-scale player data and logs.
Like Google's own ambitions, the work of a Software Engineer goes beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical leadership to major…
Senior/Lead Data Scientist focusing on credit risk modeling and measurement for a fintech company. The role involves developing and maintaining credit risk models, conducting experiments, and collaborating cross-functionally using Python and SQL.
Design and ship production LLM/GenAI agentic workflows for an AI-powered bid management SaaS platform, owning the full cycle from prototyping through evaluation, deployment, and observability on Azure using Python.
Evaluate and improve frontier AI coding models by using AI coding agents to complete infrastructure engineering tasks and reviewing model-generated implementations across cloud platforms, Kubernetes, CI/CD, and observability systems.
The Enterprise Architect will collaborate with executive leaders to develop digital, data, and AI transformation strategies and roadmaps for global organizations. This role involves designing scalable, cloud-native architectures using Adobe Experience Cloud and modern cloud ecosystems to drive business outcomes.
Associate Data Scientist on TriNet's Enterprise Data & Analytics team, developing and validating statistical and ML models, performing data cleaning and EDA, and supporting GenAI/LLM experimentation using Python or R.
The Engineering Manager will lead a team of Machine Learning Engineers to design and deploy production-ready LLM applications and agentic AI systems for healthcare clinical workflows. The role focuses on building scalable AI infrastructure, MLOps workflows, and collaborating across teams to translate research into clinical products.
Build AI agents and multi-agent workflows to automate clinical data programming and regulatory submissions, using Python/R, LangGraph, and advanced RAG in a GxP-regulated healthcare environment.
Designs and deploys agentic AI systems for medical imaging, combining LLMs, RAG, knowledge graphs, and tool orchestration to solve complex healthcare workflows.
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