Omnis Partners
Senior AI Engineer

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Senior AI Engineer
Location: London – Hybrid, 3 days onsite
Contract: 4 months initially, likely to extend
Rate: Competitive day rate
We are looking for a Senior AI Engineer to join a leading financial services client, helping build a new enterprise AI capability from the ground up.
This is a hands-on engineering role, focused on building production-grade agentic AI and RAG systems that can reason across research reports, transcripts, filings, and enterprise data. A major focus will be ensuring AI outputs are reliable, measurable, and fully traceable back to their source.
The Role
- Build production agentic AI and RAG workflows
- Develop robust document ingestion, parsing, and extraction pipelines
- Build LLM evaluation frameworks and guardrails covering groundedness, factual accuracy, relevance, and confidence
- Implement citation and provenance, tracing outputs back to specific source documents and retrieved content
- Improve retrieval quality through chunking, embeddings, and vector search
- Build automated quality controls around missing, duplicated, truncated, or incorrectly extracted content
- Develop production-grade Python services and pipelines with appropriate testing, CI/CD, and monitoring
- Work directly with engineering teams and business stakeholders to turn requirements into measurable AI quality standards
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.
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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.
Requirements


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- Strong commercial Python engineering experience
- Experience building and deploying LLM, RAG, or agentic AI systems into production
- Experience with frameworks such as LangGraph, LangChain, or LlamaIndex
- Strong understanding of RAG, embeddings, retrieval, and vector databases
- Experience with LLM evaluation, observability, guardrails, or AI quality
- Strong software engineering fundamentals including testing and CI/CD
- Comfortable working from ambiguous requirements and building solutions from scratch
- Consultancy and financial services experience is strongly preferred
“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.”
Jessica, London
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