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.

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

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.

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