Mission-Critical AI Engineer — Hybrid (Lisbon)

The Hub/Danske Bank; Lisboa; Híbrido; EUR 70 000 - 100 000; Tempo integral

Resumo da oferta

ICEYE is seeking a Forward Deployed AI Engineer to deploy its intelligence platform into customer environments, combining SAR data with AI-powered workflows. You will ship production-grade tools, APIs, and data pipelines while collaborating with analysts and engineers to meet mission-critical demands.

In this role, you’ll work on Docker/Kubernetes deployments, build RAG-based solutions, and travel regionally to customer sites 40–60% to deliver rapid, tangible results.

Qualificações

• 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.

Responsabilidades

• 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.

Conhecimentos

Python

LLMs

Go

TypeScript

Rust

LangChain

LangGraph

pydantic-ai

APIs

Data pipelines

Docker

Kubernetes

English

Ferramentas

Docker

Kubernetes

Descrição da oferta de emprego

ICEYE is seeking a Forward Deployed AI Engineer to deploy its intelligence platform into customer environments, combining SAR data with AI-powered workflows. You will ship production-grade tools, APIs, and data pipelines while collaborating with analysts and engineers to meet mission-critical demands.

In this role, you’ll work on Docker/Kubernetes deployments, build RAG-based solutions, and travel regionally to customer sites 40–60% to deliver rapid, tangible results.