Gravitas Recruitment Group (Global) Ltd
Forward Deployed AI Engineer

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Forward-Deployed Engineer (GenAI)
Location: Remote (London-based)
Travel: Required to client sites as needed
Salary: £60,000 - £80,000 (flexible depending on experience) + Equity
Gravitas is proud to partner with an AI-led fintech start-up that is transforming wealth management and financial services through agentic GenAI solutions.
We’re seeking a Forward-Deployed Engineer (GenAI) who thrives at the intersection of deep technical expertise and customer impact. In this role, you’ll work directly with senior stakeholders to design, prototype, and productionise GenAI-driven solutions on their agentic platform.
Key Responsibilities
- Collaborate with client teams to understand domain challenges and success metrics.
- Translate business requirements into scalable AI solutions using the agentic framework.
- Prototype and deploy LLM-based agents (prompt structures, orchestration logic, memory, retrieval pipelines).
- Drive the transition from proof-of-concept to production with reliability and measurable ROI.
- Act as a trusted technical advisor, guiding adoption and defining success metrics.
- Contribute reusable components and frameworks for faster deployments.
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.
Qualifications
- 2+ years building production-grade AI/data solutions as a Data Scientist / AI Engineer
- Hands-on GenAI experience (LLMs, prompt engineering, RAG, vector databases, agentic frameworks like LangChain, LlamaIndex, DSPy).
- Strong Python proficiency with a GitHub portfolio showcasing MLE or GenAI projects.
- Expertise in Machine Learning Engineering (model development, deployment, monitoring).
- Ability to break down complex business domains into computational workflows.
- Excellent communication skills and comfort engaging senior stakeholders.
- Consulting or customer-facing experience delivering AI-driven business impact.


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Why Join?
- Shape how financial institutions adopt and scale agentic AI.
- Move beyond prototypes, deploy real-world GenAI systems.
- Work directly with founding leadership, influencing product evolution.
- Blend engineering excellence, product innovation, and customer impact.
- Equity in an early stage start-up.
Interested? Apply now or reach out to Gravitas for a confidential discussion.
“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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