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MiddleHybridLisbon

Full Stack AI Software Engineer

I
iceye
Уровень
Middle
Формат
Hybrid
О роли

Описание вакансии

About the company

ICEYE is the world leader in sovereign intelligence from space. We deliver persistent monitoring capabilities to detect and respond to changes in any location on Earth. ICEYE owns the world's largest and most advanced SAR (synthetic aperture radar) satellite constellation. Founded and headquartered in Finland, ICEYE operates globally with over 1000 employees across Europe, North America, the Middle East, and Asia-Pacific.

Responsibilities
  • Own the implementation of complex services designed for high-stakes, resource-constrained operational environments.
  • Build deterministic agentic orchestration: engineering stateful, multi-agent workflows that move beyond simple inference to provide reliable outcomes in non-deterministic environments.
  • Architect geospatial RAG & distributed vector consistency: maintain strict semantic alignment and vector consistency across air-gapped and DDIL environments.
  • Optimize geospatial data performance via advanced indexing and query tuning for ultra-low latency spatial analysis over massive satellite datasets.
  • Integrate AI into real workflows and products where it improves decisions, and use AI-native engineering tooling day to day.
Requirements
  • 2–7 years of professional software engineering, shipping production systems end to end.
  • Degree in Computer Science, Aerospace, Electrical / Electronic Engineering, or a related technical field — or equivalent hands-on experience.
  • Full-stack capability: strong backend (Python required, plus a typed language such as Go, TypeScript, or Rust) and comfort building modern web front ends (e.g., React / TypeScript).
  • Strong systems architecture fundamentals: designing services, APIs, and data flows that are reliable, observable, and scalable.
  • Solid database design and data modelling (relational, ideally spatial), able to write and optimise SQL.
  • Fully proficient with AI: building on LLMs, RAG, and AI-powered workflows, and working fluently with AI-native engineering tools.
  • Networking foundations: comfortable reasoning about protocols, latency, and data movement across networks.
  • Hands-on with Linux and Docker; familiarity with Kubernetes, CI/CD, and infrastructure as code.
  • High-intensity builder mindset: you thrive on shipping fast, iterating based on real-world mission needs, and owning the outcome of your code.
  • Excellent communication in English (written and spoken), plus C2 / near-native Portuguese.
  • Eligible and able to attain relevant national and NATO security clearances.
Conditions
  • Hybrid working type.
  • Career path: Launchpad into ICEYE's Forward Deployed Engineering track (embedded, customer-facing, higher travel).
  • Must be based in Portugal (Lisbon).
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