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 developmentfrom 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 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.
Requirements
Qualifications
Required
- Bachelors 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 problemsolving 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.
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...
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 developmentfrom 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 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.
Requirements
Qualifications
Required
- Bachelors 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 problemsolving 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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