Staff Software Engineer, Agentic Applications
Staff Software Engineer owning architecture and delivery of LLM-powered agentic workflows for marketing content creation, publishing, and reliability at scale. Requires 12+ years experience building production LLM systems, human-in-the-loop designs, stakeholder collaboration, and mentoring.
About the job
Impact
- Own the architecture and delivery of agentic workflows enabling marketing to self-serve content creation and publishing across blogs, landing pages, microsites, and social.
- Work directly with marketing stakeholders to understand workflows, define quality criteria, and build trusted tools.
- Partner on CMS architecture to support agent read/write workflows and ensure structured content for AI-driven discovery.
- Build and own the agent reliability system: define output quality criteria, implement eval suites, behavioral regression testing, and feedback loops based on marketer feedback.
- Architect human-in-the-loop review systems including proposal/commit separation, diff-based review UI, approval routing, notifications, and audit logging.
- Encode brand, legal, and compliance constraints as enforceable guardrails in agent workflows.
- Partner to ensure agent-generated content meets surface quality and brand standards.
- Mentor and grow the Senior Engineer on the team, setting standards for production-grade agentic engineering.
Requirements
- 12+ years of software engineering experience with a track record of technical ownership on production systems.
- Hands-on experience building and operating LLM-powered systems in production.
- Strong instinct for designing quality and evaluation frameworks for probabilistic or generative outputs.
- Strong understanding of human-in-the-loop system design: approval workflows, review interfaces, audit logging, and guardrail implementation.
- Deep understanding of how agents interact with content systems, publishing pipelines, and web infrastructure including CMS, deployment pipelines, and edge delivery.
- Ability to work directly with non-engineering stakeholders to translate workflow requirements into agent architecture.
- Experience mentoring engineers and elevating technical execution across a team.
Skills
Llm-Powered Systems, Agentic Workflows, Human-In-The-Loop Systems, Evaluation Frameworks, Guardrails, Cms, Web Infrastructure, Audit Logging, Mentoring
Similar jobs
ML Engineering jobs
Shield AI
San Diego, CA
Develop production C++ perception capabilities for autonomous systems, spanning algorithms, libraries, integration, validation, and release. The role requires deep expertise in at least one perception domain, strong systems debugging, and experience delivering maintainable software in complex robotics or real-time environments.
Nuro
Mountain View, CA
Develop and productize online mapping models for autonomous navigation using real-world sensor data. The role requires deep ML expertise, robotics or computer vision experience, strong Python and deep learning framework skills, and a staff-level ability to deliver practical solutions.
Nuro
Mountain View, CA
Build and operate ML infrastructure for autonomy teams, including training and deployment pipelines, model observability, inference serving, and compiler platforms across hardware targets. Requires a degree, 3+ years of relevant experience, Python proficiency, and distributed-systems expertise.
Talkiatry
United States
Staff-level engineer responsible for building AI agents and automation, evaluating developer AI tools, and driving adoption across the engineering organization. Requires 8+ years of software engineering experience plus production experience with LLMs, agentic systems, and applied machine learning.
Airbnb
United States
Staff machine learning engineer leading scalable ranking, search, recommendation, and personalization systems. The role requires 9+ years of applied machine learning experience, strong programming and data engineering skills, and expertise productionizing models and pipelines.