Embedded AI Engineer for Secure On-Prem Deployments & RAG

United States Digital Space LLC; United States; Remote; USD 120,000 - 180,000; Full time

Job summary

United States Digital Space LLC is seeking an experienced Forward Deployed AI Engineer to build and deploy AI-powered workflows for defense and intelligence customers. You will ship code daily, turning satellite data into mission-critical tools used by analysts, with hands-on work in air‑gapped environments and fast iteration cycles.

Responsibilities include deploying in secure environments, building RAG systems, and integrating AI agents with customer data.

Qualifications

• 3+ years hands-on software engineering building and deploying production systems.
• Strong Python programming skills (required) plus one of: Go, TypeScript, or Rust.
• Hands-on experience with LLMs, prompt engineering, and RAG systems.
• Working knowledge of agent frameworks (LangChain, LangGraph, pydantic-ai) and vector databases.
• Experience with Docker and deploying in secure / isolated / air-gapped environments.
• Practical experience with APIs, data pipelines, and integrating systems in production.
• Familiarity with Linux and basic Kubernetes operations.
• Builder mindset: ship fast, iterate with feedback, and prioritise working solutions over perfect architecture.
• Strong communication + customer engagement, able to work embedded with intelligence analysts / military operators.
• Strong spoken and written English, able to explain technical concepts to non-technical stakeholders.
• Willingness to travel 40–60% to customer sites within the region.

Responsibilities

• Platform Deployment & Integration: Deploy the platform into secure environments (on-prem, air‑gapped networks, classified data centres).
• Build and maintain containerised apps (Docker) and manage deployments in customer Kubernetes clusters.
• Develop APIs and data pipelines connecting systems to customer C4ISR infrastructure.
• Troubleshoot deployment issues in disconnected environments without internet access.

Skills

3+ years hands-on software engineering

Python

Go/TypeScript/Rust

LLMs & RAG systems

agent frameworks

vector databases

Docker

Kubernetes

APIs & data pipelines

Linux

English communication

travelling 40-60%

Tools

Docker

Kubernetes

LangChain

LangGraph

pydantic-ai

Vector databases

Job description

United States Digital Space LLC is seeking an experienced Forward Deployed AI Engineer to build and deploy AI-powered workflows for defense and intelligence customers. You will ship code daily, turning satellite data into mission-critical tools used by analysts, with hands-on work in air‑gapped environments and fast iteration cycles.

Responsibilities include deploying in secure environments, building RAG systems, and integrating AI agents with customer data.