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Builds and optimizes the core AI agent system for Perplexity’s flagship answer experience, focusing on multi-agent orchestration, context management, and reliability at scale. Works on observability, evaluation, and autonomous failure recovery to improve both user-facing AI and model training pipelines.
Software engineer on Sim's core product team building an AI workspace for teams to build agents, owning usability, reliability, and UX end-to-end.
Building Sim's core agent harness — the agent that plans, calls tools, uses memory, and runs reliably at scale for 100K+ builders — focused on LLM behavior and robust infrastructure.
The Architect will lead the design and development of JAGGAER's next-generation AI and agentic platform, integrating LLMs, multi-agent systems, and MLOps into their procurement and supply chain software. This strategic role requires deep technical expertise in full-stack engineering, AI frameworks, and cloud-native architecture to drive autonomous workflows.
The Machine Learning / Federated-Learning Engineer will design and implement distributed model training and adaptation workflows for federal government projects. The role involves building ML pipelines, fine-tuning models, and integrating AI solutions within secure, controlled environments using Python and frameworks like PyTorch or TensorFlow.
The AI/ML Engineer will work on federal government projects, focusing on developing and implementing artificial intelligence and machine learning solutions. This role is telework-eligible and requires an active security clearance.
A hands-on engineering role focused on product development and client collaboration to accelerate revolutionary tech startups within a venture capital-backed portfolio.
Lead end-to-end deployment of Pharos's AI-powered hospital quality reporting platform with health system partners, mapping EHR workflows to clinical specialties and measuring impact on patient safety outcomes.
The software supply chain security team builds automated security assurance tools and services for Apple's internal engineering teams. The role involves developing agentic and LLM-integrated systems to secure the software development lifecycle, from dependency management to runtime admission.
Own AI/ML systems that underwrite real-time rent payments, classify messy SMB transaction data with LLMs, and power an AI CFO for tenants and landlords.
The Cloud Infrastructure Engineer will manage and enhance GCP and Azure environments to support AI and machine learning solutions. The role involves developing CI/CD pipelines and Infrastructure as Code while collaborating with innovation teams.
The Security Platform Automation Engineer will lead the architecture and development of an AI-assisted security automation platform to scale security reviews across Apple's global services. The role involves building agentic workflows, data pipelines, and evaluation harnesses to integrate security standards into automated software processes.
Design and build data warehouses, BI reports, and AI-ready semantic layers using Microsoft Fabric/Power BI, then evolve into architecting governed data foundations for trustworthy AI agents.
Build and optimize distributed systems for AI training and inference workloads, focusing on cluster management, scheduling, and hyperscale infrastructure.
The Robotics Software Engineer will develop and implement real-time motion control software for robot manipulators, focusing on inverse kinematics, collision avoidance, and ROS integration. The role involves ensuring software components are ready for enterprise production environments.
Eversor AI is seeking a Technical Product Manager to lead the development of their AI-driven compliance engine. The role involves working directly with founders and engineering to prototype, ship, and drive adoption of products that automate document-based compliance tasks.
Develops and deploys AI agent features, collaborates on product direction, and integrates LLMs/voice AI in a startup setting.
The role involves selling and managing AI security solutions to enterprise clients, engaging with CISOs, AI engineers, and security leaders to drive growth and shape product roadmaps by articulating Zscaler’s AI security value proposition.
Develop AI-powered assistants for Account Managers, integrating data platforms with modern software to create a globally scalable product.
Designs and deploys cloud-based full-stack solutions with Python, REST APIs, and AWS, integrating generative AI into distributed systems with DevOps and observability practices.
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