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Solution Engineer

RelationalAI

Remote · worldwide, UTC+4 accepted$14,167–16,667 gross/mofull-timeHimalayas

If you’re driven by curiosity, thrive in complexity, and want to help build the system that brings true understanding to enterprise AI, you’ll feel right at home here. You will be embedded inside our customers' hardest problems, and you will own the outcome until it works in production.

Responsibilities

  • Own outcomes end to end - discovery, modelling, implementation, performance tuning, production hardening, and the measurement that proves it worked. Not a handoff at each stage. Yours.
  • Build, not describe - design and ship decision solutions on our modelling, reasoning, and learning stack: ontologies over customer data, rules, graph analytics, optimisation formulations, predictive models
  • Fill the gaps yourself - when a customer workflow is blocked on something the platform doesn't do, scope it and build it. Then push the general version upstream: read our source, form a hypothesis before you escalate, open the PR.
  • Close the loop with Product - every deployment generates a signal. Bring back reproductions, patterns, and specific failure modes ("the only way I could express this was by abusing X in this way"), not vibes. You are one of the loudest inputs into our roadmap.
  • Run technical discovery that gets to the truth - workshops, demos, and proofs of concept designed to find out whether we can actually solve the problem, not to look impressive.
  • Leave things better than you found them - document as you go, in the repo, same week. Turn one-off work into reusable reference implementations so the next person starts where you finished. No branch of yours should be diverging for a month.
  • Refuse shortcuts that compound - no undocumented config drift, no "it works now" without knowing why it broke, no restarting the service before you've captured the evidence.

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    Work format
    Remote
    Seniority
    Mid
    Posted
    5 Sept 2026
    Last verified
    In the last 3 days
    Apply by
    4 Nov 2026

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