Ai Platform Engineer
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Requirements
• Experience in agent-based architectures or workflow automation systems. • Experience with retrieval-augmented generation (RAG) or knowledge-based systems. • Experience with cloud environments (GCP is a plus). • Experience with CRM integrations (Salesforce or similar). • Autofill with MyGreenhouse
Responsibilities
• Design and implement AI-driven automation across systems and workflows. • Build autonomous or semi-autonomous agents capable of interacting with APIs, tools and internal systems. • Create internal AI tools to reduce manual work and improve operational efficiency. • Identify opportunities to redesign existing processes using AI-first approaches. • Rapidly prototype and iterate towards production-ready solutions. • Integrate LLM-based capabilities into existing platform architecture. • Design lightweight data pipelines or retrieval mechanisms when needed (e.g., RAG patterns). • Continuously evaluate emerging AI technologies and incorporate them pragmatically. • Collaborate closely with backend engineers, CRM specialists and business stakeholders. • This role could be a good fit for you if: • You have a strong AI-native mindset: AI is a core building block in your development process. • You have experience building applied AI systems beyond simple prompting. • You have the ability to design end-to-end solutions (architecture, integration, delivery). • You have experience working with APIs, automation or system integrations. • You operate with high autonomy and have an ownership mentality. • You have a strong bias towards building and shipping. • You naturally think in systems and automation rather than isolated features. • You enjoy building tools that eliminate repetitive work. • You frequently experiment with new AI capabilities and quickly turn ideas into working prototypes. • You see AI as a way to redesign workflows, not just enhance them. • You are comfortable navigating ambiguity and defining problems as part of the solution process. • You prefer shipping real solutions over discussing theoretical architectures. • Experience in agent-based architectures or workflow automation systems. • Experience with retrieval-augmented generation (RAG) or knowledge-based systems. • Experience with cloud environments (GCP is a plus). • Backend engineering experience. • Experience with CRM integrations (Salesforce or similar).
Benefits
• Remote First - our team works remotely across multiple countries and time zones • Medical, Dental, and Vision Coverage in the US - support for additional coverage is available in Spain • Company Team Offsites and Coworking - we believe that remote-first doesn’t mean remote-only • Free Product School Course Offerings - we offer a range of courses and certifications worth $27,000 that we readily encourage our employees to explore • Monthly Internet Reimbursement - we support our team, wherever they’re working from • We require that candidates be located in the country/countries specified. We are unable to hire outside of the country/countries specified or provide or take over sponsorship at this point in time. Applicants MUST be authorized to work in the listed country of hire without sponsorship. • At Product School, we don't just accept differences--we embrace, support, and celebrate the things that make each of us unique and benefit our employees, services, and community. We’re proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or veteran status.