Senior AI Engineer: Autonomous Agent Architect

Foresite Cybersecurity; Overland Park (KS); On-site; USD 180,000 - 240,000; Full time

Benefits offered by this job

Growth & training

Health coverage

401(k) matching

PTO and holidays

Job summary

Foresite is seeking a Senior Applied AI Engineer to shape how state-of-the-art AI and autonomous agents power our MSSP platform. You will build and deploy complex, multi-agent AI systems, leveraging ADK/A2A, RAG pipelines, and production-grade security across GCP and multiple model ecosystems.

You will lead end-to-end AI architecture, from model selection and prompt engineering to observability, latency optimization, and tight integration with React/TypeScript front-ends and PostgreSQL/Firestore

Qualifications

• 5+ years of software engineering experience with production-grade code.
• Proven track record integrating LLMs into production systems.
• Deep React 18/19 and TypeScript experience.
• Secure multi-tenant AI architectures with data isolation.
• Experience with RAG, agent orchestration and evaluation pipelines.

Responsibilities

• Architect and deploy production-grade autonomous agent networks.
• Own model selection, prompt engineering, and RAG pipelines.
• Optimize context windows and reduce latency in multi-agent flows.
• Integrate agent capabilities into React/TS web apps (React 18/19, TS).
• Design secure multi-tenant architectures with strict data isolation.
• Provide technical leadership and mentorship on LLM practices.

Skills

AI/LLM integration

React

TypeScript

Cloud-Native Architecture

Security & multi-tenant design

Python proficiency

Tools

Agent Development Kit (ADK)

Agent-to-Agent (A2A)

RAG pipelines

OpenAI

Claude

Gemini

Llama

Mistral

Google Cloud Platform (GCP)

PostgreSQL

Firestore

FastAPI

Pydantic

Job description

Foresite is seeking a Senior Applied AI Engineer to shape how state-of-the-art AI and autonomous agents power our MSSP platform. You will build and deploy complex, multi-agent AI systems, leveraging ADK/A2A, RAG pipelines, and production-grade security across GCP and multiple model ecosystems.

You will lead end-to-end AI architecture, from model selection and prompt engineering to observability, latency optimization, and tight integration with React/TypeScript front-ends and PostgreSQL/Firestore