AI Engineer in Cambridge

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—maintaining high-quality code and evaluating 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.

Requirements

• 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, scikit‑learn.
• 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.

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.