Fullstack Engineer

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:

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€45M raised from seed to Series A, Blossom Capital leading the series A and Saab as a strategic investor

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Software platform combat proven and deployed in Ukraine

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A lean team of operators with backgrounds from Palantir, OpenAI and world-class tech experience, alongside unique expertise from the defense sector

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Live business with governments and defense industry leaders across Europe

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Paris (HQ), London, Munich and Kyiv subsidiaries

The Role

You'd join the engineering team to own features end to end, with a strong lean toward the interfaces and workflows clients interact with directly. This is a product engineering role. Unlike our Forward Deployed Engineers, you are not embedded with clients or responsible for running deployments in the field. You turn operational needs and field feedback into a durable core product.

What this looks like in practice:

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Own end-to-end features on Prevail, our operational planning platform, from scoping and interaction choices through backend implementation and production

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Spend significant time on the front end, building clear, reliable workflows for users working with complex information under pressure

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Solve real geospatial problems: move data between backend and frontend through tile servers and use PostGIS for demanding spatial queries

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Build and harden ML and LLM workflow orchestration, including retries, queueing, and long-running jobs with LangGraph and LangChain

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Design for on-prem and appliance deployment, where hardware, connectivity, and resource constraints matter as much as cloud scalability

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Work closely with product, design, and forward-deployed teams to turn user signal into features that work across clients

Who We're Looking For

We filter hardest on mission drive, low ego, attention to detail, and first-principles problem solving. We want builders who can move across the stack while keeping the user-facing experience sharp.

Must-have:

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Strong full-stack production experience, with genuine comfort owning both interfaces and backend systems

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Solid TypeScript and React, plus Python experience or the ability to become productive quickly with FastAPI

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A track record of taking features from an ambiguous problem through release and iteration

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Product judgement and attention to detail, especially in workflows used directly by customers

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Comfort deciding what to build now, what to make durable, and what to leave out

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EU or UK citizenship (contractual requirement tied to our defence contracts)

Nice to have:

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Experience with PostGIS, GIS, mapping, or other geospatial systems

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Experience with LangGraph, LangChain, or multi-step ML and LLM workflows

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Experience deploying software on-prem, offline, or as an appliance

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Experience with front-end performance and data-dense interfaces

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Prior work in defence, government, or dual-use technology

What's In It For You

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Competitive package (top 0.1% of compensation in Europe: base + equity)

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Paris or London based

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End-to-end ownership of product used in real operational environments

The Process

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Talent screening: 30 min, online. Background and motivation.

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Technical screening: 45min, online. Skills assessment.

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Onsite in Paris: half day (3 hours). System Design, Re-engineering and Project Presentation.

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Roundtable.

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