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Alpha

AI Engineer

Cambridge
Posted about 18 hours ago
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Alpha CRC

Alpha CRC is a dynamic translation and language services group, operating across multiple geographies and serving a diverse client base. With several businesses under our umbrella and offices in key global markets, we pride ourselves on delivering high-quality, culturally nuanced language solutions.

We are looking for a skilled AI Engineer to design, build, and deploy AI-powered systems that enhance our products and operations. This role combines software engineering, machine learning, and practical problem-solving. You will work across the full lifecycle of AI development—from model integration and prompt optimization to pipeline deployment and monitoring. You will maintain high-quality code and evaluate the performance of the systems you develop.

Tasks

  • Implement multi-agent architectures using frameworks such as CrewAI to orchestrate complex AI tasks and workflows
  • Fine-tune transformer models using techniques such as LoRA, PEFT, or supervised fine-tuning to improve performance on domain-specific tasks
  • Evaluate model performance, run experiments, and optimize for accuracy, latency, and reliability.
  • Design and implement end-to-end AI pipelines (data ingestion, feature engineering, inference).
  • Collaborate with cross-functional teams to define requirements and deliver AI solutions that meet business goals.
  • Implement retrieval-augmented generation (RAG), prompt engineering, or agent-based architectures as appropriate.
  • Maintain high-quality code through testing, documentation, and best practices.
  • Monitor and troubleshoot production AI systems, ensuring high availability.
  • Stay current with new AI frameworks, models, and tooling.

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.

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

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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

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Requirements

Qualifications

Required

  • Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field (or equivalent experience)
  • 3+ years of professional software development experience
  • Strong Python programming skills
  • Hands-on experience with machine learning frameworks: PyTorch, TensorFlow, Scikitlearn
  • Experience working with LLMs, embedding models, or AI APIs (OpenAI, Azure OpenAI, HuggingFace, etc.)
  • Knowledge of building and consuming APIs (REST, GraphQL)
  • Experience with version control (Git) and modern development workflows
  • Strong problem-solving and communication skills

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Preferred

  • Experience fine-tuning large language models using HuggingFace or similar frameworks
  • Experience running local models with Ollama or similar inference platforms
  • Experience with RAG pipelines and vector databases (Pinecone, FAISS, Chroma)
  • Background in NLP, computer vision, or deep learning
  • Experience optimizing models for performance or cost (quantization, distillation)

Benefits

  • Hybrid working options
  • Access to cutting-edge AI technologies and cloud environments
  • Opportunities to shape AI strategy and build impactful solutions
  • A supportive, collaborative, and innovation-driven culture

Please submit your CV and a short statement of interest. Applications will be reviewed on a rolling basis.

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Skills

Python
Machine Learning
AI Systems
Software Engineering
Model Integration
Prompt Optimization
Pipeline Deployment
Multi-agent Architectures
Transformer Models
APIs
NLP
Computer Vision
Deep Learning
Version Control
Problem-solving
Communication

Location

Cambridge, England, United Kingdom

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