F
Senior Applied AI Engineer
Foresite
3 hours ago
Full-time
On-site
Overland Park, Kansas, United States
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.
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.