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Develops embedded C++ applications and Qt-based GUIs for mission-critical systems, integrating and testing on Linux platforms.
Oversee quality assurance and control for electrical installations in next-gen, liquid-cooled data centers, ensuring reliability, safety, and compliance with codes and specifications.
Designs and maintains GCP network architectures for a global conversational AI platform, ensuring high availability, security, and performance while collaborating with SRE and platform teams.
Design and optimize agentic AI systems for healthcare workflows, focusing on retrieval, context, memory, and evaluation to ensure safe, transparent, and scalable performance.
Owns metrics and frameworks for AI agent performance, working directly with Fortune 500 clients to define, measure, and improve conversational AI outcomes using SQL, Python, and data-driven insights.
Architect and maintain Handshake’s cloud infrastructure, codify best practices, and automate deployments using Terraform, ArgoCD, and Kubernetes to enable scalable, AI-driven agentic systems.
Build and own the ML/LLM stack for Spectrum, JetBrains’ AI-powered semantic layer that extracts, organizes, and reasons over code, docs, and issues to keep software systems aligned.
Principal Forward Deployed Engineer at JetBrains helps enterprises adopt AI-native development with JetBrains Central, deploying governance, agent execution, and optimization solutions in complex environments.
Design and maintain MLOps infrastructure and pipelines to streamline ML model development, training, and deployment for AI-powered developer tools.
Designs interfaces for JetBrains' AI-powered agentic development environment, balancing usability with complex technical workflows to keep developers in flow.
Research Engineer building and training large language models from scratch for coding tasks, deploying them into production to power JetBrains' AI platform.
Build and ship production-ready AI coding agents and agentic workflows for JetBrains' developer tools, integrating models like Mellum2 and open-weight models into real development environments.
Senior Technical Program Manager (InfoSec) leads security strategy execution, balancing AI-driven drug discovery innovation with risk management. Oversees Zero Trust, cloud security, and secure SDLC while collaborating with engineering and ML teams to protect proprietary AI models and regulated data pipelines.
Oversees AI/HPC infrastructure operations, ensuring GPU fleet and network stability at scale; bridges engineering and business goals via program leadership, metrics, and cross-functional coordination.
The Senior Data Engineer will design and implement end-to-end AI features, including data pipelines, Generative AI, and agentic workflows. The role involves building scalable systems using Python, SQL, and modern frameworks like LangChain and Spark while managing MLOps practices across major cloud platforms.
Senior Product Manager leads cloud, AI, and strategic partnerships at Litmus, focusing on marketplace integrations, OEM collaborations, and product strategy for industrial AI data platforms. Owns end-to-end lifecycle of cloud deployments (AWS, Azure, Google Cloud, etc.) and white-label partnerships with manufacturers and tech providers.
Lead Clay’s Data Science & Analytics team to set product strategy, design metrics, and drive data-informed decisions using AI-native tools like Monty.
Leads a team of customer engineers to advise clients on Google Cloud’s data analytics and AI solutions, driving workload migration, technical strategy, and customer success through architecture reviews, demos, and cross-functional collaboration.
Applied Intuition is a physical AI company building digital infrastructure, operating systems, and autonomy tools for industries including automotive, defense, and logistics.
Build AI-native analytics to optimize OpenAI’s real estate and workplace operations, blending forecasting, experimentation, and agentic dashboards to guide space, services, and investment decisions.
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