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.

This role involves designing and customizing software applications, with a focus on AI Ops platforms and automation solutions leveraging cloud services (AWS, Google Cloud). The engineer will work with LLMs, prompt engineering, and agent frameworks, develop IAC solutions, and collaborate with stakeholders to meet business needs. Responsibilities include leading development, evaluating cloud solutions, mentoring junior staff, and ensuring software reliability and documentation.

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.

This role involves leading the strategic development and implementation of an AI Ops platform and software development solutions, with a focus on leveraging LLMs, prompt engineering, and agent frameworks. The engineer will develop and evaluate software solutions in public and private cloud environments, with experience in data engineering and IAC.