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ICEYE

SAR satellite constellation for Earth monitoring

Forward Deployed AI Engineer

AI Application Engineering +1Confirmed live in the last 24 hours
Full-timeLisbon, PortugalNo salary listed

About the Job

Requirements

  • At least 3 years of hands-on software engineering experience building and deploying production systems.
  • Strong Python programming skills and proficiency in at least one of Go, TypeScript, or Rust.
  • Hands-on experience with large language models, prompt engineering, and retrieval-augmented generation systems.
  • Working knowledge of agent frameworks such as LangChain, LangGraph, or pydantic-ai, and vector databases.
  • Experience with Docker and deployment in secure, isolated, or air-gapped environments.
  • Practical experience with APIs, data pipelines, and production system integration.
  • Familiarity with Linux and basic Kubernetes operations.
  • Ability to communicate technical concepts to non-technical stakeholders in spoken and written English.
  • Willingness to travel 40–60% to customer sites within the region.

Responsibilities

  • Deploy ICEYE's intelligence platform into customer secure environments, including on-premise systems, air-gapped networks, and classified data centers.
  • Build and maintain containerized applications using 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 systems combining ICEYE SAR data with customer intelligence documents for context-aware analysis.
  • Develop AI agents and workflows using frameworks such as LangChain and LangGraph to automate analytical tasks.
  • Implement prompt engineering strategies and conversational AI interfaces that allow analysts to query satellite data using natural language.
  • Create Model Context Protocol integrations connecting AI systems with customer data sources.
  • Build data-fusion pipelines combining SAR imagery with other intelligence sources, including AIS, RF signals, optical imagery, and SIGINT.
  • Develop automated workflows to 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.
  • Rapidly prototype AI-powered solutions to 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.

Desired Qualifications

  • Experience in defense, intelligence, or government operational environments.
  • Experience deploying to on-premise data centers or air-gapped networks.
  • Familiarity with geospatial data, satellite imagery, or remote sensing.
  • Experience with Model Context Protocol integrations, multi-agent systems, or agentic workflows.
  • Deeper Kubernetes knowledge, infrastructure as code using Terraform or Ansible, or offline continuous integration and continuous delivery.
  • Understanding of intelligence analysis workflows and defense or government requirements.
  • Experience with data fusion, multi-source intelligence integration, or geographic information system tools such as ArcGIS or QGIS.
  • Background in solution engineering, technical consulting, or customer success.
  • Experience in defense technology companies.

About the Company

ICEYE

SAR satellite constellation for Earth monitoring

ICEYE builds and operates the world’s largest synthetic aperture radar (SAR) satellite constellation to monitor the Earth continuously, day or night and in any weather. Its SAR satellites capture radar imagery that can see through clouds and darkness, giving customers in defence and intelligence, insurance, emergency management, and environmental monitoring a persistent view of wide areas. Images and analytics are delivered from a network of satellites and, increasingly, sovereign constellations that governments can operate themselves. ICEYE plans to scale up production toward about 100 satellites per year by 2028 and has pursued large funding rounds to expand capacity and sovereign delivery, aiming to grow its revenue and backlog while offering reliable, near-real-time Earth observation data.

Company size
1,001-5,000
Company stage
Series F
Total funding
$1.5B
Headquarters
Espoo, Finland
Founded
2012

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