AI Engineer in Cambridge

Alpha CRC is a dynamic translation and language services group, operating across multiple geographies and serving a diverse client base. 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.

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, 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.