Role Description Foresite is looking for a Senior Software Engineer - AI Integration with strong, hands-on AI experience to help shape how AI gets built into our platform. We are a Managed Security Services Provider (MSSP) building the next generation of AI-powered security operations. What You'll Do: - Design and ship the systems that connect LLMs to real security workflows — from RAG pipelines over threat intelligence to agentic automation that handles triage and investigation steps that currently require human effort. - Influence our AI architecture, product direction, and the standard for how the team builds with LLMs going forward. - Design and build AI-powered workflows that serve both internal analysts and external customers across guided security operations. - Own the AI architecture end-to-end: model selection, prompt engineering, RAG pipelines, agent orchestration, and evaluation frameworks. - Optimize for cost and performance — manage token budgets, reduce latency, and build instrumentation so we know exactly what our AI spend buys us. - Collaborate with product and engineering to identify where AI creates real leverage and where it doesn't. - Mentor engineers on LLM best practices and raise the AI literacy of the broader team. Qualifications - 5+ years of software engineering experience with strong fundamentals (you write production code, not just notebooks). - Deep, practical experience using Agent Development Kit. - Proven track record of integrating LLMs into production environments - prompt engineering, context management, RAG architectures, agent frameworks, evaluation and observability. - Deeply proficient in React 18/19 and TypeScript; comfortable with React Router v7 and modern routing patterns. - Comfortable designing schemas, writing queries, and reasoning about performance across PostgreSQL and Firestore. - Experience designing secure multi-tenant AI architectures; understanding of how to build LLM integrations that enforce strict data isolation between customers. - Strong understanding of scalable and highly available cloud-native system design. - Experience working closely with product teams to ship user-facing features. Requirements - Knowledge of Infrastructure as Code (IaC) using Terraform to automate, orchestrate, and manage cloud platform resources effectively. - Familiarity or hands-on experience with Google Cloud Security products (e.g., Security Command Center, SecOps, Mandiant). - Experience building autonomous AI agents, multi-modal applications, or complex prompt orchestration pipelines. Benefits - Mission-driven partner helping organizations navigate an increasingly complex threat landscape. - Part of a "humans-first" culture where your expertise is valued, and your well-being is a priority. - Leverage Google Cloud Premier SecOps Partnership to stay at the cutting edge.