> Markdown version of [/jobs/ext/4719411-senior-staff-product-engineer-applied-ai](https://www.wearedevelopers.com/jobs/ext/4719411-senior-staff-product-engineer-applied-ai). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior/Staff Product Engineer, Applied AI - **Company:** True Talent Solutions LLC - **Location:** San Francisco, CA, United States - **Experience:** Expert - **Salary:** $200,000 - $300,000 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Data Systems, Distributed Systems, Python (Programming Language), PostgreSQL, Enterprise Messaging Systems, Node.Js, RabbitMQ, Recommender Systems, Software Engineering, TypeScript, Model Validation, Backend, Agentic-AI, Apache Kafka - **Published:** November 14, 2026 - **Apply:** https://www.careerbuilder.com/job-details/senior-staff-product-engineer-applied-ai-san-francisco-ca--d6a48eb2-9c5c-44a3-b287-62fe38944d0c ## About the Role Product Engineering, Artificial Intelligence (AI), Product Engineering, Artificial Intelligence (AI) Agents, Technical Operations, Application Programming Interface (API), Performance Management, Cross-Functional, Leadership, Customer/Client Research, * At least 5 years of software engineering experience for Senior-level candidates, or 7 or more years for Staff-level candidates, with end-to-end product ownership. * Experience at a fast-growing startup, shipping products and leading projects with high velocity in ambiguous environments. * Strong hands-on skills in Python and/or TypeScript/Node.js, with experience designing distributed systems, APIs, and data models. * Familiarity with PostgreSQL and messaging systems such as Kafka or RabbitMQ. * Experience building and deploying agentic or applied AI products; agent platform experience with orchestration, evaluations, and model selection is valuable. * Strong product judgment, cross-functional collaboration, and a track record of delivering measurable business impact. * Background in marketplaces, matching or recommendation systems, recruiting, operations technology, or products for non-technical users is useful. * Strong computer science fundamentals and a record of sustained contributions in prior roles. ## Description Join the product engineering team at an early-stage industrial staffing and operations technology company. You will bring AI agents into production workflows and build the backend platform that supports worker sourcing, vetting, matching, and placement., * Design how AI agents and models are applied across staffing and operations workflows. * Architect and lead core backend systems, including real-time matching and automated vetting pipelines. * Own platform architecture and make decisions that support the company's evolving product needs. * Improve backend performance, reliability, and scale across APIs, data systems, and infrastructure. * Partner with engineering leadership and cross-functional teams to turn ambiguous product needs into working systems. * For agent-focused work, develop agent harnesses, orchestration patterns, evaluation infrastructure, and model strategy. * Use customer and operational insights to shape system design and product decisions.