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Senior Applied AI Engineer

Full-time

Foresite

Role Description

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.

What You'll Do

  • 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, TypeScript, 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.

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 designing schemas, writing queries, and reasoning about performance across PostgreSQL and Firestore.
  • Experience designing secure multi-tenant AI architectures.
  • Strong understanding of scalable and highly available cloud-native system design.
  • Experience working closely with product teams to ship user-facing features.

Requirements

  • A proven track record of owning AI/LLM solutions from initial concept and prototyping through full rollout, monitoring, and iteration in a live production environment.
  • Hands-on experience deploying modern LLMs, agent frameworks, Agent Development Kits (ADK), or Agent-to-Agent (A2A) protocols to production.
  • Demonstrated proficiency in balancing performance, token usage, context window constraints, and latency within complex RAG or multi-agent architectures.
  • High hands-on proficiency writing production code, designing database schemas, and reasoning about performance across React 18/19, TypeScript, PostgreSQL, and Firestore.
  • Experience designing secure multi-tenant AI systems where strict customer data separation and compliance boundary enforcement are required.

Benefits

  • Work with a clean, modern stack including React 19, TypeScript, Tailwind CSS, PostgreSQL, Drizzle ORM, and Google Cloud Platform (GCP).
  • Encouragement and funding for continuous learning, including pre-approved vendor and technical training.
  • Top-tier health coverage, including robust medical, company-paid dental, short-term (STD), and long-term disability (LTD) plans.
  • Competitive Paid Time Off (PTO) package starting at 2 weeks of paid vacation (accruing up to 4 weeks based on tenure), plus paid sick leave and 10 paid company holidays.
  • Competitive retirement match program—we match 100% of your first 3% contribution, and 50% of the next 2% contribution.
Vacancy posted 6 days ago
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