Senior Applied AI Engineer

Foresite is looking for a Senior Applied AI Engineer to shape how state-of-the-art AI and autonomous agents power our Managed Security Services Provider (MSSP) platform. We are building the next generation of AI-driven security operations, transforming how threat detection, investigation, and response are conducted.

In this role, you will move beyond basic API integrations to build and deploy complex, multi-agent AI systems. You will leverage the latest model architectures, agent harnesses, Agent Development Kits (ADK), Agent-to-Agent (A2A) interaction patterns, and emerging frameworks. While our ecosystem is anchored on Google Cloud Platform (GCP), we value deep hands-on expertise across model ecosystems (OpenAI, Claude, Gemini, Llama, Mistral) and cloud environments.

• Build Complex Agentic Workflows: Architect, harness, and deploy production-grade autonomous agent networks using ADK, A2A communication, and state-of-the-art agentic frameworks to automate multi-step security triage and investigation workflows.

• End-to-End AI Architecture: Own model selection, prompt engineering/harnessing, context retrieval (RAG pipelines), agent orchestration topologies, and automated evaluation/observability frameworks.

• Production Optimization: Manage context windows, optimize token budgets, implement prompt caching/pruning, and aggressively minimize latency across real-time RAG, function calling and other such multi-agent interaction loops.

• Full-Stack Integration: Collaborate with engineering teams to embed agentic capabilities directly into our customer- and analyst-facing web applications built on React 18/19, Type Script, PostgreSQL, and Firestore.

• Secure Multi-Tenancy: Design secure AI architectures enforcing strict customer data isolation, zero-leakage context management, and enterprise-grade privacy controls.

• Technical Leadership & Mentorship: Establish standards for building with LLMs, agent evaluation pipelines, and elevate AI engineering practices across the organization.

• Engineering Principles: 5+ years of software engineering experience with strong fundamentals (you write production code, not just notebooks).

• AI/LLM Integration
  :
  Deep, practical experience using Agent Development Kit. You should have a proven track record of integrating LLMs into