Software Engineer

About This Opportunity

We are representing a confidential defense technology organization building next-generation operational software for live field deployments. Our client is fully indexed on real-world user success—the code you ship runs inside active operations, not benchmarks or demos.

You'll join a lean engineering team working directly with leadership on their operational planning platform. This is a true ownership role: you'll take problems, explore solutions, propose approaches, and iterate based on direct user feedback. Most features touch geospatial data, ML/LLM orchestration, and on-premise deployment constraints.

Responsibilities

• Own end-to-end features from scoping through production deployment on a geospatial operations platform
• Build and optimize map-based interfaces and backend services, moving data through tile servers and leveraging PostGIS for intelligent geospatial queries
• Design and harden ML/LLM workflow orchestration with retry logic, queueing, and long-running job management using LangGraph and LangChain
• Architect for on-premise and appliance deployment targets with genuine resource constraints, not cloud-native environments
• Engage directly with end users during field deployments when required
• Make product decisions about scope and priority without pre-sliced specifications

What We're Looking For

Required:

• Full-stack experience preferred; alternatively, genuinely strong backend engineering capability
• Proven ability to own features end-to-end: scoping, building, and making informed trade-offs independently
• Strong Python (FastAPI) and TypeScript proficiency
• EU citizenship (contractual requirement tied to defense sector work)
• Comfort operating under ambiguity with shifting priorities driven by deployment timelines
• Mission-driven mindset, low ego, and resilience under operational pressure
• First-principles reasoning rather than pattern-matching from previous roles

Nice to Have:

• Experience with PostGIS or other geospatial data systems
• Background orchestrating multi-step LLM workflows with LangGraph, LangChain, or similar
• On-premise or appliance deployment experience beyond cloud-native environments
• Prior work in defense, government, or dual-use technology sectors

How We Work With You

Candidates apply directly through Get A Job.ai. Our talent team conducts an initial screening to assess background and fit, then coordinates your interview process with the client. The process includes a 30-minute talent screen, a 60-minute technical assessment, and a half-day onsite in Paris covering product demo, project presentation, system design, and codebase re-engineering exercises.

Please do not contact the client directly. All communication and scheduling flows through our recruiting team to ensure a structured, professional process.

Location and Compensation

This role is based in Paris with client-site travel required when deployments demand it. Our client offers top-tier European compensation including competitive base salary and equity.

Equal Opportunity: Get A Job.ai is committed to inclusive recruiting practices. We welcome applications from all qualified candidates regardless of background.