Forward Deployed AI Engineer deploying advanced satellite intelligence solutions for defense and intelligence customers. Building secure AI systems and workflows in collaboration with military operators and analysts.
Responsibilities
Deploy ICEYE's intelligence platform into customer secure environments (on-premise, air-gapped networks, classified data centers).
Build and maintain containerized applications (Docker) and manage deployments in customer Kubernetes clusters.
Develop APIs and data pipelines connecting ICEYE systems to customer C4ISR infrastructure and intelligence tools.
Troubleshoot deployment issues in disconnected environments without external internet access.
Build Retrieval-Augmented Generation (RAG) systems that combine ICEYE SAR data with customer intelligence documents for context-aware analysis.
Develop AI agents and workflows using frameworks like LangChain, LangGraph, or similar tools to automate analytical tasks.
Implement prompt engineering strategies and conversational AI interfaces that enable analysts to query satellite data using natural language.
Create Model Context Protocol (MCP) integrations connecting AI systems with customer data sources.
Build data fusion pipelines combining SAR imagery with additional intelligence sources (AIS, RF signals, optical imagery, SIGINT).
Develop automated workflows that correlate and cross-reference information across different data modalities.
Create lightweight tools, dashboards, and alerting systems tailored to customer operational needs.
Work embedded with intelligence analysts, data scientists, and military operators to understand mission-critical problems.
Conduct hands-on training sessions on platform capabilities and AI workflow usage.
Gather customer feedback and translate it into technical requirements for ICEYE's product and engineering teams.
Requirements
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 prioritize 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.
Benefits
How We Work (Our Values)
Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way.
Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the “why” behind decisions.
See the big picture: Stay close to what’s happening across the company so you can make better decisions. Consider how your work affects others.
Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions.
Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift.
Have fun: What we do matters—and it should be enjoyable. Celebrate progress, take pride in results, and share the wins.
Our benefits are designed to support your health and wellbeing—at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process.
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