Software Engineering Manager to lead a backend engineering team building production-grade AI Agent systems. The role requires significant hands-on coding (at least 30%), people management, technical leadership, and ownership of execution and operational excellence for AI-heavy systems. Responsibilities include designing, building, and operating backend services, coaching engineers, ensuring responsible AI agent behavior, and translating product goals into technical plans.

This role focuses on designing, building, and operating agentic AI systems for Comcast's Xfinity applications, specifically enhancing the chat experience with AI-driven agents. The engineer will leverage tools like ADK and Gemini Enterprise to create reusable agents, integrate them into various workflows, and ensure production readiness with a focus on reliability, scalability, and observability. The role also involves applying AI across the software development lifecycle, including AI-augmented coding and testing, and contributing to AgentOps and AI governance.

Senior Machine Learning Engineer responsible for leading the technical design, delivery, and architectural ownership of ML systems and platforms, with a focus on LLM-powered systems and agent development. The role involves driving technical strategy, defining best practices, and improving system reliability and scalability.

This role focuses on designing, building, and operating agentic AI systems for Comcast's Xfinity applications, specifically enhancing the chat experience by transitioning from human-assisted to fully AI-driven workflows. The engineer will leverage tools like Agent Development Kit (ADK) and Gemini Enterprise to create reusable AI agents, focusing on agent logic, workflows, integrations, and production deployment.

Mid-level Backend Engineer role focused on building scalable backend systems for an AI platform that processes multimodal content (video, images, audio, documents) and enables LLM-driven applications through agents and MCP servers. The role involves Golang development, Kubernetes deployment, Terraform for infrastructure, and AWS services, with a focus on enabling LLMs to interact safely with tools, data, and services.

Seeking a Quality Engineering Lead (SDET 4) to lead the quality strategy for AI initiatives, focusing on Agentic AI validations and evaluation strategies within Google ADK environments. The role involves orchestrating release cycles, managing defect lifecycles, conducting code reviews, and ensuring the quality of AI agent logic, workflows, and production deployments.

Senior Backend Engineer to lead technical direction of AI Agent initiatives, focusing on building scalable, reliable backend systems and agentic workflows. Responsibilities include architectural leadership, agent behavior engineering, system quality, testing, mentorship, and production ownership for customer-facing AI experiences.

This role focuses on building AI-powered applications, specifically intelligent workflow systems that integrate LLM reasoning into enterprise procurement and finance operations using Azure AI services. The engineer will architect and implement AI-driven workflow tooling, build lightweight web applications, and operationalize LLM-based reasoning within enterprise processes, moving from concept to production.

This role focuses on designing, building, and operating cloud infrastructure for AI-enabled and Agentic platforms. The engineer will apply IaC practices, monitor platform health, lead troubleshooting, develop automation, implement observability solutions, and collaborate with AI teams to ensure platforms are operable, observable, and scalable. Foundational AI literacy is required to understand agent lifecycles and non-deterministic execution behaviors. The role also involves using AI-assisted tools for investigation and documentation, and participating in on-call rotations.

Software Engineer to build and enhance production AI-enabled features for an AI-powered platform used by customer service agents, retail associates, and field technicians. The role involves developing user-facing experiences, integrating AI/LLM services, and contributing to backend services within a .NET/React environment, focusing on reliability, explainability, and scalability in enterprise settings.

This role focuses on designing and building automation-first Go-to-Market (GTM) systems, including agentic systems and LLM-driven workflows, to increase efficiency and drive revenue within an advertising platform. The individual will identify, build, and deploy solutions across Growth Marketing, Sales, and Customer Success.

Product Manager for FreeWheel's Streaming Hub Direct Sales Management team, focusing on building programmatic ad-decisioning and optimization capabilities. This role involves partnering with Data Science to implement ML/AI models within the SSP platform's Programmatic Module, owning a product area, and collaborating with other PMs and engineering teams to drive the programmatic strategy.

This role supports the operations, reliability, and day-to-day support of AI-enabled and Agentic platforms using AI-augmented operational workflows. The Junior Engineer partners with senior DevOps and platform teams to monitor system health, respond to incidents, execute operational tasks, and maintain documentation. AI tools are used to accelerate investigation, validation, and learning, while human judgment ensures secure, reliable, and ethical system operation.

This Principal Cloud Engineer role focuses on designing, operating, and improving cloud infrastructure for AI-enabled and Agentic systems. The role emphasizes platform reliability, automation, observability, and secure operations, with a focus on supporting the end-to-end lifecycle of intelligent agents, from development to production deployment and ongoing management. The engineer will use AI-augmented tools and apply foundational AI literacy to understand agent lifecycles and non-deterministic behaviors impacting operations.

This role focuses on optimizing search performance (SEO, AEO, GEO) across a .com ecosystem, specifically for AI-driven discovery platforms like LLMs and AI Summaries. It involves advising on content strategy for LLM visibility, partnering with technical teams on AI discovery best practices, analyzing how LLMs consume content, and conducting competitive analyses for AI visibility. The role requires expertise in how LLMs and answer engines interpret and surface content, and staying current on AI discovery trends.

This role focuses on building applications, automations, and copilots using Microsoft Power Platform (Power Apps, Power Automate, Copilot Studio), integrating with Microsoft 365 services. The engineer will be responsible for hands-on development, solution configuration, and ensuring solutions adhere to platform governance standards.