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Concorde AI

Founding AI Engineering

London
Posted about 21 hours ago
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Founding AI Engineering

Concorde Resolution Ltd · London (hybrid) · Full-time

About Concorde

UK businesses write off billions every year in disputes they cannot afford to resolve. Between £1,000 and £250,000, a commercial dispute is too small to justify legal costs and far too large to absorb — so an unpaid invoice becomes a bad debt, and a workable relationship quietly ends.

Concorde resolves those disputes in days rather than months, for a fixed fee. Software runs the process end to end; a qualified mediator reviews and releases every outcome before it reaches either party.

Where we actually are

We are being deliberately straightforward about this.

  • Pre-revenue and pre-launch. The platform is in build now with WALT Labs, a Google Cloud Premier Partner.
  • We are supported by Barclays Eagle Labs and LawtechUK, and we are raising a £500,000 pre-seed round.
  • Two people today — founder and CTO. Dr Krzysztof Sielewicz, our CTO, holds a PhD in electronics, spent years at CERN building data-acquisition systems for the ALICE detector upgrade, and has fifteen years in ultra-low-latency and high-performance systems.
  • The start date depends on our round closing. We would rather say that now than waste your time. If you are in a stable role and need certainty next month, this is not yet the right conversation — but we would still like to talk.

The role

You take ownership of the AI platform at handover from our delivery partner and make it production-grade. You will be the first engineer, working directly with the CTO, with real architectural authority from day one.

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

Start with a chat, not a search bar

Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.

P

Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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It searches the market for you

Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.

Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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Strong

Only hits

No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.

The problems you would actually work on

They are the reason this job is interesting.

  • Cross-party fact reconciliation. Two parties submit evidence independently. The system extracts typed facts from each side and has to determine which refer to the same event — where "delivery completed 25 March" and "goods arrived 25/03 but incomplete" are the same event with different characterisations. Deterministic candidate generation, bounded model calls, four outcome states including we cannot tell.
  • Permission-filtered retrieval. Party A must never be able to reach Party B's private material. Filtering happens inside the store at query time, never on the results. A post-filter is a leak waiting for a bug, and this one is existential rather than merely important.
  • Five agents with hard limits. Intake, evidence, legal research, analysis, negotiation. An agent may propose; it may never publish. Everything lands behind a human release gate.
  • Citation integrity. Every legal proposition must resolve to a real retrievable source, verified automatically before it reaches the review queue. Fabricated authority is the known failure mode in this domain and we treat an unresolvable citation as a blocking defect.
  • Genuine multi-model architecture. Vertex AI Model Garden, at least two model families in production, switching a task is a config change plus an evaluation run — never a code change.

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What we are looking for

  • Strong Python, and production experience with LLM systems — not demos
  • Multi-agent orchestration: retries, idempotency, resumability, budget ceilings
  • RAG done properly, with a real view on permissions and retrieval quality
  • Google Cloud, or the ability to get there quickly
  • Evaluation as a discipline — you should find "we tested it manually" unsatisfying
  • Comfort with ambiguity, and the judgement to know when a problem needs a model and when it needs code
  • Not required: legal background. You will learn the domain.

Compensation

TBD plus meaningful equity.

We will be direct: that salary is below the London market for this role. We know it. The equity is real, the technical ownership is real, and you would be the first engineer on a platform being buil. If a lot of cash is your priority right now, we understand — and this is not the role.

To apply

Send something you have built, or write us a paragraph on how you would approach cross-party fact reconciliation. We would rather read that than a CV.

marco.duarte@concorde-ai.uk

Concorde Resolution Ltd, No. 17314385, England & Wales. Concorde is not a law firm and does not provide legal advice.

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Skills

Python
LLM Systems
Multi-agent Orchestration
RAG
Google Cloud Platform
Vertex AI
Model Evaluation
System Architecture
Fact Reconciliation
API Integration

Location

London, England, United Kingdom

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