Senior Applied AI Engineer

Foresite Cybersecurity; Overland Park (KS); On-site; USD 100,000 - 130,000; Full time

Benefits offered by this job

Mission-driven culture

Focus on employee well-being

Cutting-edge technology partnerships

Job summary

Foresite Cybersecurity, located in Overland Park, is seeking a Senior Software Engineer - AI Integration. This role involves designing systems that incorporate AI into security workflows, mentoring engineers, and optimizing AI architecture for performance.

The ideal candidate has 5+ years of software engineering experience, deep practical knowledge of AI/LLM integrations, and proficiency in React and TypeScript. Join a mission-driven team and contribute to cutting-edge security operations!

Qualifications

• 5+ years of software engineering experience.
• Deep practical experience using Agent Development Kit for integrating LLMs.
• Proficient in React 18/19 and TypeScript.
• Experience with PostgreSQL and Firestore.
• Understanding of secure multi-tenant AI architectures.
• Strong knowledge of cloud-native system design.

Responsibilities

• Design and ship systems connecting LLMs to security workflows.
• Own the AI architecture end-to-end.
• Optimize cost and performance of AI workflows.
• Collaborate with product and engineering teams.
• Mentor engineers on LLM best practices.

Skills

Software engineering principles

AI/LLM integration

React 18/19

TypeScript

PostgreSQL

Firestore

System design

Product collaboration

Tools

Agent Development Kit

Terraform

Job description

Foresite is looking for a Senior Software Engineer - AI Intergration with strong, hands-on AI experience to help shape how AI gets built into our platform. We are a Managed Security Services Provider (MSSP) building the next generation of AI-powered security operations. We’re integrating agentic AI into the workflows our analysts and customers rely on every day — a force multiplier for detecting, investigating, and responding to threats faster.

What You’ll Do

In this role, you’ll design and ship the systems that connect LLMs to real security workflows — from RAG pipelines over threat intelligence to agentic automation that handles triage and investigation steps that currently require human effort. You’ll influence our AI architecture, product direction, and the standard for how the team builds with LLMs going forward.

• Design and build AI-powered workflows that serve both internal analysts and external customers across guided security operations
• Own the AI architecture end-to-end: model selection, prompt engineering, RAG pipelines, agent orchestration, and evaluation frameworks
• Optimize for cost and performance — manage token budgets, reduce latency, and build instrumentation so we know exactly what our AI spend buys us
• Collaborate with product and engineering to identify where AI creates real leverage and where it doesn’t
• Mentor engineers on LLM best practices and raise the AI literacy of the broader team

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.

Nice to Have

• Platform Orchestration: Knowledge of Infrastructure as Code (IaC) using Terraform to automate, orchestrate, and manage cloud platform resources effectively.
• Google Cloud Security: Familiarity or hands-on experience with Google Cloud Security products (e.g., Security Command Center, SecOps, , Mandiant).
• Advanced AI Workflows: Experience building autonomous AI agents, multi-modal applications, or complex prompt orchestration pipelines.

Why Join Foresite?

We are a mission-driven partner helping organizations navigate an increasingly complex threat landscape. Founded by security practitioners, we’ve grown into a global leader in SecOps and MDR by staying true to our core value: radical transparency. When you join Foresite, you are part of a "humans-first" culture where your expertise is valued, and your well-being is a priority. We leverage our Google Cloud Premier SecOps Partnership to stay at the cutting edge, but we know that our greatest asset is our people.