Algorithms Engineer · Smart Order Routing

Build the moat: match orders to providers across printer model, material, colour, proximity, queue depth, reliability, and cost — then nest parts and batch across customers.

Remote (India)SeniorContract → Full-time

About the role

Smart Order Routing is the durable advantage of this platform. It is a multi-variable constraint-satisfaction problem that only gets sharper as transaction history grows. A competitor can clone the screens; they cannot clone the routing data.

You will start with a focused contract — a routing prototype against real provider data — with a clear path to a founding full-time seat.

What you'll own

Design the routing objective: reliability, proximity, cost, colour and material consistency, capacity.
Build build-plate nesting (bin-packing) and cross-customer batching approximations.
Gate activation on provider density — A/B the routed path against manual selection.
Instrument everything so routing decisions are explainable and tunable per material class.

What we're looking for

Strong background in optimization, OR, or applied algorithms.
You can turn a messy real-world constraint problem into a tractable, shippable heuristic.
Comfortable in Python and reasoning about data you do not fully control.

Bonus, not required

Logistics, dispatch, or marketplace matching experience.
Familiarity with packing/nesting problems or geometric algorithms.

A note on requirements: these are signals, not a checklist to clear 100%. If you're missing one but bring something we didn't think to ask for, apply anyway and make the case.

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