AI Engineer

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.

• 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 endtoend 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.

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

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)

• 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.