About the role
Who we are
Comand AI is building a global technology leader focused on defense & security. The company was co-founded in 2023 by Loïc Mougeolle, Marie Inuzuka and Quentin Le Pape, drawing from their unique experience at defense industry leaders and world-class tech companies.
The world of defense & security are being entirely renewed by AI and robotisation: new classes of threats, new levels of autonomy and speed demands radically new solutions to protect our societies. Comand AI is at the forefront of the rebuilding of these verticals to serve our countries resilience.
Comand AI core product is a next generation command and control software platform, which allows militaries to operate at machine speed in a communication and GNSS denied context. A few facts to anchor you:
- €45M raised from seed to Series A, Blossom Capital leading the series A and Saab as a strategic investor
- Software platform combat proven and deployed in Ukraine
- A lean team of operators with backgrounds from Palantir, OpenAI and world-class tech experience, alongside unique expertise from the defense sector
- Live business with governments and defense industry leaders across Europe
- Paris (HQ), London, Munich and Kyiv subsidiaries
The Role
You'd be joining the engineering team working directly with Gregoire, our Head of Engineering. You take a problem, explore it, come back with proposals, and iterate; nobody hands you a fully specified ticket. Most of the team genuinely values that exposure. It isn't a dealbreaker if you're very strong but less drawn to it, but expect real user contact to be part of the job.
What this looks like in practice:
- Own end-to-end features on Prevail, our operational planning platform, from scoping through shipping
- Work on real geospatial problems: everything in the product lives on a map, so you'll move data between backend and frontend through tile servers and lean on PostGIS for geo queries that need to be genuinely smart
- Build and harden ML/LLM workflow orchestration: most product workflows carry an LLM or ML step, so you'll design for retries, queueing, and long-running jobs with LangGraph and LangChain
- Design for on-prem and appliance deployment: our default target isn't cloud-native, it's hardware plus software shipped as an appliance, so you're thinking about resource constraints instead of adding another Lambda
- Spend time with users in the field when a deployment calls for it
Who We're Looking For
We filter hardest on mission drive, low ego, and resilience under pressure. We want people who reason from first principles rather than lean on memorized patterns, and who ship rather than over-plan.
Must-have
- Full-stack experience preferred; if not full-stack, a genuinely strong backend lean is required
- Comfortable owning a feature end to end: scoping it, building it, and deciding what not to build, without a PM pre-slicing the work
- Solid Python (we use FastAPI) and TypeScript
- EU citizenship (contractual requirement tied to our defense contracts)
- Real comfort with ambiguity: the roadmap here shifts with the deployment pipeline
Nice to have
- Experience with PostGIS or other geospatial data work
- Experience with LangGraph, LangChain, or orchestrating multi-step LLM workflows
- Experience deploying software on-prem or as an appliance rather than pure cloud-native
- Prior work in defense, government, or dual-use tech
What's In It For You
- Competitive package (top 0.1% of compensation in Europe: base + equity)
- Paris or London based
- Client-site travel is part of the role when a deployment calls for it
The Process
- Talent screening: 30 min, online. Background and motivation.
- Technical screening: 45min, online. Skills assessment.
- Onsite in Paris: half day (3 hours). System Design, Re-engineering and Project Presentation.
- Roundtable.