Forward Deployed AI Engineer job opportunity at ICEYE.

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Date2026-02-13T13:19:51.285Z bot
ICEYE Forward Deployed AI Engineer
Experience: 3-years
Pattern: Full-time
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loacation Espoo, Finland
loacation Espoo....Finland

Role highlights: Role: Forward Deployed AI Engineer Department: Forward Deployed Engineering Location: Finland, Sweden, Netherlands (Must be based in-country) Reports to : VP, Forward Deployed Engineering Working type: Hybrid (On-site at customer locations 30-50% of time) Must be eligible and able to attain relevant national and NATO security clearances at the highest level. The Mission of the Forward Deployed AI Engineer In this role, you'll be the hands-on AI builder defense and intelligence customers rely on. You’ll deploy ICEYE’s intelligence platform into secure (often air-gapped) environments and rapidly ship AI-powered workflows on top of it—everything from Docker-based deployments to RAG systems fusing SAR imagery with intelligence reports. This is a ship-code-daily role: turning raw satellite data into mission-critical tools analysts use to protect nations. Who are we? ICEYE delivers space-based intelligence, surveillance, and reconnaissance (ISR) capabilities to governments and allied nations. This includes sovereign and turnkey ISR missions leveraging ICEYE's world-leading synthetic aperture radar (SAR) satellite technology, as well as access to data from the world's largest SAR satellite constellation. These capabilities enable partners to detect and respond to critical changes anywhere on Earth with unprecedented speed and accuracy – day or night and in any weather, supported by ultra high-resolution imagery and high-frequency revisits. As a trusted partner for defense, intelligence, security, and maritime domain awareness, ICEYE's near real-time data creates a tactical advantage for mission-critical operations. ICEYE operates internationally with offices in Finland, Poland, Spain, Japan, the UAE, Greece, Germany, and the US. The company has more than 900 employees, inspired by the shared vision of improving life on Earth by becoming the global source of truth in Earth Observation Day to day responsibilities: Platform Deployment & Integration 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. AI Solution Development & Customization 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. Data Fusion & Intelligence Workflows 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. Customer Engagement & Rapid Prototyping Work embedded with intelligence analysts, data scientists, and military operators to understand mission-critical problems. Rapidly prototype AI-powered solutions (code first, polish later) that address immediate operational requirements. 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. Must have skills: 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. Nice to have skills: Experience in defense, intelligence, or government operational environments. Deploying to on-prem data centers and/or air-gapped networks. Familiarity with geospatial data, satellite imagery, or remote sensing. Experience with MCP integrations, multi-agent systems, or agentic workflows. Deeper Kubernetes, IaC (Terraform/Ansible), and/or offline CI/CD. Understanding of intelligence analysis workflows and defense/government requirements. Experience with data fusion, multi-source intelligence integration, or GIS tools (ArcGIS, QGIS). Background in solution engineering, technical consulting, or customer success. Experience in defense tech (e.g., Palantir, Anduril, Scale AI, similar startups). Application process Talent Acquisition Interview Hiring Manager Interview Technical Interview (onsite or virtual), including a Technical Challenge Hiring Team Interview Offer Decision

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