Concorde AI
Founding AI Engineering

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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.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour 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.
See breakdownIt 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.
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.
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.
Concorde Resolution Ltd, No. 17314385, England & Wales. Concorde is not a law firm and does not provide legal advice.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
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