Senior Software Engineer - AI Integration

Foresite•Overland Park, KS

12h

About The Position

Foresite is looking for a Senior Software Engineer 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.

Requirements

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 Haves

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.

Responsibilities

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

Benefits

Comprehensive Health & Wellness: Robust medical insurance options to keep you and your family healthy.
Employer-Covered Insurance: We fully provide employer-paid Dental coverage, as well as Short-Term (STD) and Long-Term Disability (LTD).
Recharge & Refuel: We believe in a true work-life balance. You’ll start with 3 weeks of paid vacation, plus additional sick leave and paid company holidays to ensure you have time to recharge.
Growth & Mentorship: Access to world-class training and mentorship. We support your career trajectory, whether you’re looking to deepen your technical skills or move into leadership.
Impactful Work: Help protect global clients using the latest AI-enhanced security tools and GCP native technologies.

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