Senior Applied AI Engineer

Foresite • Overland Park, KS

71d

About The Position

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.

Requirements

• 5+ years of software engineering experience with strong fundamentals (you write production code, not just notebooks).
• 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.
• 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. You feel at home with modern ORMs and use runtime validation to enforce data integrity at system boundaries.
• Experience designing secure multi-tenant AI architectures — you understand 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.
• Core Software Fundamentals: 5+ years of software engineering experience with robust fundamentals (you write clean, tested, maintainable production code, not just Jupyter notebooks).
• Practical experience with prompt harnessing, RAG architectures, multi-agent orchestration, function calling/tool use, evaluation frameworks, and LLM observability.
• 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).
• Comfortable designing schemas, writing queries, and managing ORM data integrity across relational (PostgreSQL) and document (Firestore) databases.

Nice To Haves

• Proficiency with Terraform or similar tools for cloud platform provisioning and orchestration.
• Experience or interest in cloud security tools (Google Cloud SecOps, Security Command Center, Mandiant, SOAR systems).
• Experience with multi-modal inputs/outputs, streaming agent architectures, or custom agent routing engines.

Responsibilities

• 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.
• Own model selection, prompt engineering/harnessing, context retrieval (RAG pipelines), agent orchestration topologies, and automated evaluation/observability frameworks.
• 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.
• 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.
• Design secure AI architectures enforcing strict customer data isolation, zero-leakage context management, and enterprise-grade privacy controls.
• Establish standards for building with LLMs, agent evaluation pipelines, and elevate AI engineering practices across the organization.
• Demonstrate high autonomy and depth across production ownership, model & framework mastery, cost & latency management, modern stack proficiency, and security & multi-tenancy.
• Own AI/LLM solutions from initial concept and prototyping through full rollout, monitoring, and iteration in a live production environment.
• Deploy modern LLMs, agent frameworks, Agent Development Kits (ADK), or Agent-to-Agent (A2A) protocols to production.
• Balance performance, token usage, context window constraints, and latency within complex RAG or multi-agent architectures.
• Write production code, design database schemas, and reason about performance across React 18/19, TypeScript, PostgreSQL, and Firestore.
• Design secure multi-tenant AI systems where strict customer data separation and compliance boundary enforcement are required.
• Partner with product managers and security analysts to deliver features that create true operational leverage.
• 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.

Benefits

• 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 2 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed