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Senior Applied AI Engineer

Foresite

Job Description

Job 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.

Who you are:

  • 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 production environments - prompt engineering, context management, RAG architectures, agent frameworks, evaluation and observability .

  • The Modern Stack: You are deeply proficient in React 18/19 and TypeScript . You are comfortable with React Router v7 and modern routing patterns.

  • Data & Backend: You are comfortable designing schemas, writing queries, and reasoning about performance across PostgreSQL and Firestore . You feel at home with modern ORMs and use runtime validation to enforce data integrity at system boundaries.

  • Security: Experience designing secure multi-tenant AI architectures — you understand how to build LLM integrations that enforce strict data isolation between customers.

  • System Design: Strong understanding of scalable and highly available cloud-native system design.

  • Product Focused: Experience working closely with product teams to ship user-facing features.

Senior & Core Expectations:

As a Senior Engineer on our team, you are expected to demonstrate high autonomy and depth across the following pillars:

  • Production Ownership: 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.

  • Model & Framework Mastery: Hands-on experience deploying modern LLMs, agent frameworks, Agent Development Kits (ADK), or Agent-to-Agent (A2A) protocols to production.

  • Cost & Latency Management: Demonstrated proficiency in balancing performance, token usage, context window constraints, and latency within complex RAG or multi-agent architectures.

  • The Modern Stack: High hands-on proficiency writing production code, designing database schemas, and reasoning about performance across React 18/19, TypeScript, PostgreSQL, and Firestore.

  • Python Mastery & Core Engineering: How would you rate your production-level Python expertise? We expect deep proficiency in writing high-performance, asynchronous, type-annotated, and modular Python (using asyncio, FastAPI, Pydantic v2, and pytest) designed for production microservices and agent orchestration—far beyond data science notebooks or script-level automation.

  • Security & Multi-Tenancy: Experience designing secure multi-tenant AI systems where strict customer data separation and compliance boundary enforcement are required.

Who you are:

  • Core Software Fundamentals: 5+ years of software engineering experience with robust fundamentals (you write clean, tested, maintainable production code, not just Jupyter notebooks).

  • Applied AI & Agentic Expertise: Practical experience with prompt harnessing, RAG architectures, multi-agent orchestration, function calling/tool use, evaluation frameworks, and LLM observability.

  • Cloud & Model Versatility: Experience in cloud-native AI environments (Vertex AI/GCP preferred, but multi-cloud background in AWS/Azure is equally welcome). Broad familiarity with leading closed-source and open-source models (Claude, Gemini, GPT-4, Llama, Mistral).

  • Data Engineering Competency: Comfortable designing schemas, writing queries, and managing ORM data integrity across relational (PostgreSQL) and document (Firestore) databases.

  • Product-Minded Engineer: Passionate about partnering with product managers and security analysts to deliver features that create true operational leverage.

Nice to have:

  • Infrastructure as Code (IaC): Proficiency with Terraform or similar tools for cloud platform provisioning and orchestration.

  • Cloud Security Ecosystem: Experience or interest in cloud security tools (Google Cloud SecOps, Security Command Center, Mandiant, SOAR systems).

  • Advanced Multi-Modal Workflows: Experience with multi-modal inputs/outputs, streaming agent architectures, or custom agent routing engines.

Why Join Foresite?

Foresite is a mission-driven partner helping organizations navigate complex cyber threat landscapes. Founded by security practitioners, we’ve grown into a global leader in SecOps and MDR by staying true to our core value: radical transparency .

For software engineers, Foresite is a place where you can build high-performance, multi-tenant SaaS platforms without the drag of legacy bureaucracy. We are a "humans-first" engineering organization where we build to scale, respect technical depth, and treat developer well-being as a top priority. As a Google Cloud Premier SecOps Partner, we operate on the cutting edge of cloud-native infrastructure, giving you the runway to solve highly complex, real-world distributed systems challenges.

What we offer:

  • Modern Tech Stack & Best Practices: Work with a clean, modern stack including React 19, TypeScript, Tailwind CSS, PostgreSQL, Drizzle ORM, and Google Cloud Platform (GCP) . We believe in shipping safely and frequently using stacked PR workflows, comprehensive Vitest/Playwright test suites, and robust CI/CD pipelines.

  • Impactful Work on AI & Automation: You won't just maintain legacy code. You’ll design scalable data access patterns, build modular service/repository architectures, and deploy cutting-edge AI and agentic automation to protect global enterprises from modern cyber threats.

  • Growth, Mentorship & Training: Foresite directly encourages and funds continuous learning. We provide pre-approved vendor and technical training entirely at our expense , alongside a culture of supportive peer code reviews and deep technical mentorship.

  • Comprehensive Health & Wellness: Enjoy top-tier health coverage, including robust medical, company-paid dental, short-term (STD), and long-term disability (LTD) plans.

  • Time to Recharge: We believe in high performance, not burnout. We offer a competitive Paid Time Off (PTO) package starting at 3 weeks of paid vacation (accruing up to 4 weeks based on tenure), plus paid sick leave and 10 paid company holidays (including a floating holiday) to ensure you have the flexibility to rest.

  • 401(k) Company Match: Secure your financial future with our competitive retirement match program—we match 100% of your first 3% contribution, and 50% of the next 2% contribution.

Vacancy posted 2 days ago
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