Senior Software Engineer – AI Integration

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🕒 April 20

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Foresite Cybersecurity

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2013

🔒 Cybersecurity

☁️ SaaS

🤝 B2B

💰 Venture Round - Foresite on 2019-01

Cybersecurity • SaaS • B2B

Foresite Cybersecurity is a managed security services and SecOps company founded in 2013 that helps organizations of all sizes defend against modern cyber threats. It combines human cybersecurity expertise, a proprietary security and compliance management platform (ProVision), and partnerships with cloud providers (notably Google Cloud) and AI technologies to deliver monitoring, incident response, compliance, and security automation as a service. Foresite positions itself as a B2B partner and extension of clients' security teams, serving thousands of customers with managed detection and response, SOC services, and security engineering.

📋 Description

• 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.

🎯 Requirements

• 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. • You are deeply proficient in React 18/19 and TypeScript. • Comfortable with React Router v7 and modern routing patterns. • Experience designing schemas, writing queries, and reasoning about performance across PostgreSQL and Firestore. • Familiar with modern ORMs and use runtime validation to enforce data integrity at system boundaries. • Experience designing secure multi-tenant AI architectures — building 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.

🏖️ Benefits

• Comprehensive Health & Wellness: Robust medical insurance options to keep you and your family healthy. • Employer-Covered Insurance: We fully provide employer-paid Dental coverage, as well as Short-Term (STD) and Long-Term Disability (LTD). • Recharge & Refuel: We believe in a true work-life balance. You’ll start with 3 weeks of paid vacation, plus additional sick leave and paid company holidays to ensure you have time to recharge. • Growth & Mentorship: Access to world-class training and mentorship. We support your career trajectory, whether you’re looking to deepen your technical skills or move into leadership. • Impactful Work: Help protect global clients using the latest AI-enhanced security tools and GCP native technologies.