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.
Responsibilities
- 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.
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.
- 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.
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