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AI Engineer - Generative AI (Remote)

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Role: AI Engineer - Generative AI (Remote)
Location: Remote (Work from Anywhere)
Job Type: Full-Time
Payout: Competitive, based on experience
Role Overview:
We are hiring for one of our clients, seeking a Senior LLM Engineer to work on a full-time basis. This hands-on engineering role focuses on designing, building, and deploying generative AI and LLM-based solutions. The position requires deep technical proficiency in Python and modern LLM frameworks, with contributions to roadmap development and cross-functional collaboration.
Key Responsibilities:
- Design and develop generative AI and LLM-based systems using tools such as LangChain and retrieval-augmented generation (RAG) pipelines
- Implement prompt engineering techniques and agent-based frameworks to deliver intelligent, context-aware solutions
- Collaborate with the engineering team to shape and drive the technical roadmap for LLM initiatives
- Translate business needs into scalable, production-ready AI solutions
- Contribute to architecture discussions, code reviews, and performance optimization
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.
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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.
Required Skills & Qualifications:
- Proficient in Python and SQL for AI system development
- Experience with LangChain and modern LLM frameworks
- Deep understanding of LLM internals, including prompt tuning, embeddings, vector databases, and agent workflows
- Background in machine learning or software engineering with system-level thinking
- Experience working with cloud platforms such as AWS, Azure, or GCP
- Ability to work independently while collaborating effectively across teams
- Excellent communication and stakeholder management skills


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More About the Opportunity:
This role offers a unique opportunity to work with a global leader in the technology industry, contributing to the development of advanced AI solutions. The position involves close collaboration with business SMEs and data teams to ensure alignment of AI models with real-world use cases.
Equal Opportunity Employer:
We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.
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